2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2021
The growth in data traffic is exponential with the usage of network applications in mundane activ... more The growth in data traffic is exponential with the usage of network applications in mundane activities. The network operators are posed with the challenge of providing Quality of Experience (QoE) to the deluge of internet users. Network traffic classification plays a significant role in network resource management with prominent security, billing, and accounting applications. In this paper, the network data traffic classification is performed using the Deep Learning (DL) models. The previous data traffic mechanism fails when the scale in data generated is in Exabytes per day from the perspective of the internet user. The network resource management is automated by classification of the traffic without intervening by the operator. The dataset is collected from the campus network for different applications.The network traffic classification is performed using the AlexNet, ResNet, and GoogLeNet DL models. The accuracy obtained for ResNet is 95%, AlexNet is 75%, and GoogLeNet is 91%. The challenge in network traffic classification is converting the packet capture files to the data type requirements of the Convolution Neural Networks (CNN) as an image. The four different network applications are considered for traffic classification. In the next-generation network architecture, artificial intelligence will be an integral part. It reduces the human intervention in traffic characterization and analysis, which aids in meeting the QoE requirements of the users.
2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), 2021
With the explosive growth of IoT applications, billions of things are now connected via edge devi... more With the explosive growth of IoT applications, billions of things are now connected via edge devices and a colossal volume of data is sent over the internet. Providing security to the user data becomes crucial. The rise in zero-day attacks are a challenge in IoT scenarios. With the large scale of IoT application detection and mitigation of such attacks by the network administrators is cumbersome. The edge device Raspberry pi is remotely logged using Secure Shell (SSH) protocol in 90% of the IoT applications. The case study of SSH brute force attack on the edge device Raspberry pi is demonstrated with experimentation in the IoT networking scenario using Intrusion Detection System (IDS). The IP crawlers available on the internet are used by the attacker to obtain the IP address of the edge device. The proposed system continuously monitors traffic, analysis the log of attack patterns, detects and mitigates SSH brute attack. An attack hijacks and wastes the system resources depriving the authorized users of the resources. With the proposed IDS, we observe 25% CPU conservation, 40% power conservation and 10% memory conservation in resource utilization, as the IDS, mitigates the attack and releases the resources blocked by the attacker.
2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), 2021
Various IP crawlers are available using which an attacker can get IPs of vulnerable edge devices,... more Various IP crawlers are available using which an attacker can get IPs of vulnerable edge devices, gain access, manipulate and misuse the devices causing mild to potentially threatening events in the IoT network. As IoT technology has spread its wing in different sectors such as manufacturing, transportation, healthcare, agriculture and industry, securing these devices is crucial. The automation of operations is performed using robots in the evolving sector Industrial IoT generating a high need for secure communication. The attacker can scan for vulnerable edge devices using the IP crawlers available on the internet and access these devices. The MQTT protocol is used for data transfer between things and brokers. The log analysis of the "Message Queue Telemetry Transport" (MQTT) protocol is performed by generating the "connect," "publish" and "subscribe" logs. These logs provide information related to the protocol name, topic names and Quality of Service (QoS) levels used for communication. The inference derived from the MQTT protocol log analysis clearly shows that the attacker has gained access to the edge device. Then the attacker can subscribe as well as publish on the topic names obtained. When the attacker can publish on the vulnerable edge device's topic names, it exposes the IoT network for threat events. The objective is to prevent exposure of the edge devices from threat events leading to mismanagement of commands given to the IoT devices. We present the measures to prevent the threats by MQTT protocol log analysis.
The societies are changing toward new and advanced directions due to new technological requiremen... more The societies are changing toward new and advanced directions due to new technological requirements. Flexibility, scalability, reliability, and security play a vital role in the future Internet, thus has to be achieved efficiently, so this inflexibility causes a challenge. Over the past few years, the well-liked topic in the era of networking is Software-defined networking (SDN). This gives rebirth to the programmable networks which/that open a door for new network paradigm. OpenFlow protocol is a basic building block of SDN networks. SDN operates on OpenFlow protocol through which the idea of programmable networks is accomplished. SDN converts the traditional network architecture by separating network logics into two different planes: control plane and data plane. SDN is extended for various applications; this causes imbalanced network utilization. The paper begins by introducing the SDN to this background OpenFlow architecture and SDN architecture is discussed and to examine the existing challenges in SDN. Finally, an emulation of SDN environment is presented using Mininet, which implements load balancing for the SDN with traffic segregation based on input traffic. The results show that solution provided helps to balance the performance of network in terms of Throughput, Delay, and Packet loss that fosters maximized QoS.
2014 3rd International Conference on Eco-friendly Computing and Communication Systems, 2014
The cellular industry has seen an unprecedented growth during the last decade due to the increasi... more The cellular industry has seen an unprecedented growth during the last decade due to the increasing number of smart" devices, tablets and other mobile-connected products and the deployment of new technologies that allow for better connection speeds. However, the network equipment of the cellular sector is negatively affecting our environment due to their carbon emissions and traffic-insensitive power consumption model. This can be attributed to the fact that the base stations have been provisioned for peak load without any consideration on the current traffic. Therefore during the periods of low/zero traffic, the base stations remain unused and their power is wasted. The proposed system aims at switching on/off the base station based on the user data traffic variations in a densely deployed cellular network. The overlapping coverage area is assumed to avoid network holes. The polynomial time heuristic algorithm used switches the central cell in a cluster size of n to sleep mode during low data traffic period. By using the stepwise decrease/increase of base station power, the handovers are executed in steps. The inactive base station is switched on when the number of user traffic suddenly peaks in the neighboring cells during early morning hours. Through analysis of the simulation results, for the LTE model it can be stated that the central cell switch off yields an energy savings of approx. 14% during periods of below-threshold traffic, but the modulation and coding changes to QPSK during the period of switch off.
2021 IEEE Global Engineering Education Conference (EDUCON)
Networking Industry has wide opportunities for Computer Science graduates with the skills of clou... more Networking Industry has wide opportunities for Computer Science graduates with the skills of cloud architecture, cyber security, Internet of Things, which are converging areas. Computer Network is a fundamental course in the Computer Science stream, has a challenge in teaching / learning the concepts of networking, which is considered to be a black box. The objective is to open up this black box content through Project-Based Learning (PBL) to better the conceptual understanding and enhance the 21st-century skills required to develop network applications and the services.The PBL activity has helped the students in contributing to developing real time network based solutions collaboratively.The analysis of pre and post-test data shows a 20% improvement in network concepts learned. The peer and self-assessment results demonstrate a 10% improvement in 21st century skills such as collaborative, critical thinking and creativity.
2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), 2018
The network of computers infected with malicious software without the knowledge of owner is terme... more The network of computers infected with malicious software without the knowledge of owner is termed as Botnets. Cyber criminals use these botnets for malicious activities such as Distributed Denial of Service attacks, blagging of sensitive data. Recent botnets namely zeus, kraken, Nargache and many others apply a technique called DGA (Domain Generated Algorithms). DGA dynamically generates large number of random domains and choose subset for use so that static domains remains ineffective. The legitimate and DGA domains identification are often understood as most difficult to identify. The proposed work deals with the identification of legitimate domains from DGA generated ones using Classification models and N-Gram models. The introduction of N-Gram model with classification model achieves much accuracy.
2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), 2016
The major challenge of Team Based Learning (TBL) or Group learning is its Design and Implement th... more The major challenge of Team Based Learning (TBL) or Group learning is its Design and Implement that assess the student's knowledge and skills. The challenge also includes designing assessment to grade the students based on their contribution to the team performance. Teacher assessing the student's performance in team is a teacher biased process. Therefore Peer evaluation can be included as part of TBL assessment. Peer review is considered as transparent and efficient technique to assess individual in team. But it has also been criticized with respect to fairness. This paper proposes Trusted Relative Peer Review (TRPR) which reduces the disadvantages of peer review to greater extent. It includes two reviews i) Team's Guide review ii) Peer review. The trustworthiness of peer review is decided based correlation of Guides and Peer reviews, depending on which each student is rated relatively for 100 points. After comparisons of results, 65% student teams peer reviews were found to be not trustworthy, which are corrected through proposed TRPR. This review is accepted by 54-58% of students and trusted it. TRPR helped to measure "ability to function in a team" with attainment of 7.7 on the scale of 10. TRPR contributes to the success of TBL implementation in greater extent by overcoming the drawbacks of peer review. It influences individual student's marks based on their contributions. Therefore it ensures students contribute in group work resulting in students learning. Although TRPR is hectic, future work shall try to make it simple.
2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018
Cloud computing technology usage has emerged as a prominent field in providing the computation se... more Cloud computing technology usage has emerged as a prominent field in providing the computation services to the users using the internet. The 3As-AnyTime, AnyWhere and AnyDevice concept changed the industry towards user-centric needs to collaborate and connect with people, which makes software industries to adopt the cloud-based development environment. This created the scope for educationist to enable the students with the skills related to cloud computing technology. A course on distributed and cloud computing is introduced at the undergraduate level for catering to this. The authors discuss the challenges faced in teaching-learning cloud computing technology and the method followed to overcome these. The two main challenges are designing the course content and adopting suitable open source infrastructure tools for hands-on experience. The authors have put efforts in adoption and usage of cloud computing in undergraduate engineering level by proposing a modified Technology Acceptance Model (TAM). This model helped to identify different parameters/attributes to improve academic performance. An activity-based laboratory course is designed in line with the theory course. All the activities are implemented using the open source software environment. The activities planned in the course are assessed based on the outcome based evaluation. The graduate attribute addressed in the course are domain knowledge gain in cloud computing concepts, problem-solving, usage of modern tools and life-long learning. The average attainment of the stated graduate attribute is 77.89% in the course internal semester assessment. The effectiveness of proposed method is validated by defining hypotheses relating to the research questions framed. Results prominently speak about the advantage of TAM and its implementation in the course.
2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), 2016
The technological rebellion has made current generations to depend more on the digital world in t... more The technological rebellion has made current generations to depend more on the digital world in their day to day life. The effectiveness of the digital world has changed the learner's perceptive towards the education system. The impulsivegrowth of technology has increased the popularity of Information and Communication Technology which has created a research scope in Computer network domain thus Computer network course in the curriculum of Computer Science and Engineering plays an important role. It is always a challenge to teach Computer Networks course to students as the course requires a practical exposure more than the chalk and talk. It is very hard for students to envision the concepts of computer networks, protocols formats and understanding packets flow during teaching in classroom. To overcome above said challenge, pedagogical practice such as active learning through simulation tool is identified in delivery of the course. This paper discusses the effective use of a Packet Tracer (PT) simulation tool in the teaching of computer network concepts. A structured learning approach is introduced by using packet tracer tool in teaching network concepts and series of exercises are designed and developed to give the visualization of each layer functionality. These practical exercises helped in active learning to use the packet tracer to simulate campus network. This pedagogy practice encouraged the students' to build the clarity on the physical devices like router, access points, switch and their configurations. The troubleshooting skills were practiced by introducing the errors deliberately and how to resolve is learnt through the tool. Computer network simulation activity include the concepts of NAT, Subnetting, V-LAN setting, services of TCP/UDP, packet format details, application layer protocol like DNS, DHCP, E-Mail, FTP and HTTP. Activity is evaluated through demos, presentation and quizzes. Rubrics based assessment is followed to ensure uniformity and transparencyin the evaluation. The average marks obtained in quiz by students before using PT tool is 65% and after using tool is 85%, it shows significant improvement of 20% in learning the fundamental concepts of computer network course.
2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), 2016
Massive Open Online Course (MOOC) is the best means to learn latest /current technologies which a... more Massive Open Online Course (MOOC) is the best means to learn latest /current technologies which are otherwise difficult to gain access and learn them. A case study of how, MOOC on 'User Experience (UX) provided by Udacity for mobile app' was utilized to enhance the quality of student projects, is presented in this paper. Most of the time, MOOCs are provided by the global experts who teach the course in a best possible way. Also, MOOC directly helps in attaining lifelong learning skills. MOOC can be used in many ways to deliver a curriculum. This paper focuses on, how the learning's and activities specified by MOOC on UX is included as part of student project course, its assessment, evaluation and results. The student projects are mobile apps specified by a company, which emphasized much on UX, the latest industry need. Therefore students were instructed to register for the MOOC on UX and learn on their own. Each student teams had to do UX design as specified in MOOC and same UX design activities were included as a part of project course assessment and evaluated. As a result, students were able to discover additional requirements addressing mobile UX and perform UX based design and construct according to it. These activities helped to attain ABET criteria 'i' with attainment 7.82 on scale of 10.
2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2021
The growth in data traffic is exponential with the usage of network applications in mundane activ... more The growth in data traffic is exponential with the usage of network applications in mundane activities. The network operators are posed with the challenge of providing Quality of Experience (QoE) to the deluge of internet users. Network traffic classification plays a significant role in network resource management with prominent security, billing, and accounting applications. In this paper, the network data traffic classification is performed using the Deep Learning (DL) models. The previous data traffic mechanism fails when the scale in data generated is in Exabytes per day from the perspective of the internet user. The network resource management is automated by classification of the traffic without intervening by the operator. The dataset is collected from the campus network for different applications.The network traffic classification is performed using the AlexNet, ResNet, and GoogLeNet DL models. The accuracy obtained for ResNet is 95%, AlexNet is 75%, and GoogLeNet is 91%. The challenge in network traffic classification is converting the packet capture files to the data type requirements of the Convolution Neural Networks (CNN) as an image. The four different network applications are considered for traffic classification. In the next-generation network architecture, artificial intelligence will be an integral part. It reduces the human intervention in traffic characterization and analysis, which aids in meeting the QoE requirements of the users.
2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), 2021
With the explosive growth of IoT applications, billions of things are now connected via edge devi... more With the explosive growth of IoT applications, billions of things are now connected via edge devices and a colossal volume of data is sent over the internet. Providing security to the user data becomes crucial. The rise in zero-day attacks are a challenge in IoT scenarios. With the large scale of IoT application detection and mitigation of such attacks by the network administrators is cumbersome. The edge device Raspberry pi is remotely logged using Secure Shell (SSH) protocol in 90% of the IoT applications. The case study of SSH brute force attack on the edge device Raspberry pi is demonstrated with experimentation in the IoT networking scenario using Intrusion Detection System (IDS). The IP crawlers available on the internet are used by the attacker to obtain the IP address of the edge device. The proposed system continuously monitors traffic, analysis the log of attack patterns, detects and mitigates SSH brute attack. An attack hijacks and wastes the system resources depriving the authorized users of the resources. With the proposed IDS, we observe 25% CPU conservation, 40% power conservation and 10% memory conservation in resource utilization, as the IDS, mitigates the attack and releases the resources blocked by the attacker.
2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), 2021
Various IP crawlers are available using which an attacker can get IPs of vulnerable edge devices,... more Various IP crawlers are available using which an attacker can get IPs of vulnerable edge devices, gain access, manipulate and misuse the devices causing mild to potentially threatening events in the IoT network. As IoT technology has spread its wing in different sectors such as manufacturing, transportation, healthcare, agriculture and industry, securing these devices is crucial. The automation of operations is performed using robots in the evolving sector Industrial IoT generating a high need for secure communication. The attacker can scan for vulnerable edge devices using the IP crawlers available on the internet and access these devices. The MQTT protocol is used for data transfer between things and brokers. The log analysis of the "Message Queue Telemetry Transport" (MQTT) protocol is performed by generating the "connect," "publish" and "subscribe" logs. These logs provide information related to the protocol name, topic names and Quality of Service (QoS) levels used for communication. The inference derived from the MQTT protocol log analysis clearly shows that the attacker has gained access to the edge device. Then the attacker can subscribe as well as publish on the topic names obtained. When the attacker can publish on the vulnerable edge device's topic names, it exposes the IoT network for threat events. The objective is to prevent exposure of the edge devices from threat events leading to mismanagement of commands given to the IoT devices. We present the measures to prevent the threats by MQTT protocol log analysis.
The societies are changing toward new and advanced directions due to new technological requiremen... more The societies are changing toward new and advanced directions due to new technological requirements. Flexibility, scalability, reliability, and security play a vital role in the future Internet, thus has to be achieved efficiently, so this inflexibility causes a challenge. Over the past few years, the well-liked topic in the era of networking is Software-defined networking (SDN). This gives rebirth to the programmable networks which/that open a door for new network paradigm. OpenFlow protocol is a basic building block of SDN networks. SDN operates on OpenFlow protocol through which the idea of programmable networks is accomplished. SDN converts the traditional network architecture by separating network logics into two different planes: control plane and data plane. SDN is extended for various applications; this causes imbalanced network utilization. The paper begins by introducing the SDN to this background OpenFlow architecture and SDN architecture is discussed and to examine the existing challenges in SDN. Finally, an emulation of SDN environment is presented using Mininet, which implements load balancing for the SDN with traffic segregation based on input traffic. The results show that solution provided helps to balance the performance of network in terms of Throughput, Delay, and Packet loss that fosters maximized QoS.
2014 3rd International Conference on Eco-friendly Computing and Communication Systems, 2014
The cellular industry has seen an unprecedented growth during the last decade due to the increasi... more The cellular industry has seen an unprecedented growth during the last decade due to the increasing number of smart" devices, tablets and other mobile-connected products and the deployment of new technologies that allow for better connection speeds. However, the network equipment of the cellular sector is negatively affecting our environment due to their carbon emissions and traffic-insensitive power consumption model. This can be attributed to the fact that the base stations have been provisioned for peak load without any consideration on the current traffic. Therefore during the periods of low/zero traffic, the base stations remain unused and their power is wasted. The proposed system aims at switching on/off the base station based on the user data traffic variations in a densely deployed cellular network. The overlapping coverage area is assumed to avoid network holes. The polynomial time heuristic algorithm used switches the central cell in a cluster size of n to sleep mode during low data traffic period. By using the stepwise decrease/increase of base station power, the handovers are executed in steps. The inactive base station is switched on when the number of user traffic suddenly peaks in the neighboring cells during early morning hours. Through analysis of the simulation results, for the LTE model it can be stated that the central cell switch off yields an energy savings of approx. 14% during periods of below-threshold traffic, but the modulation and coding changes to QPSK during the period of switch off.
2021 IEEE Global Engineering Education Conference (EDUCON)
Networking Industry has wide opportunities for Computer Science graduates with the skills of clou... more Networking Industry has wide opportunities for Computer Science graduates with the skills of cloud architecture, cyber security, Internet of Things, which are converging areas. Computer Network is a fundamental course in the Computer Science stream, has a challenge in teaching / learning the concepts of networking, which is considered to be a black box. The objective is to open up this black box content through Project-Based Learning (PBL) to better the conceptual understanding and enhance the 21st-century skills required to develop network applications and the services.The PBL activity has helped the students in contributing to developing real time network based solutions collaboratively.The analysis of pre and post-test data shows a 20% improvement in network concepts learned. The peer and self-assessment results demonstrate a 10% improvement in 21st century skills such as collaborative, critical thinking and creativity.
2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), 2018
The network of computers infected with malicious software without the knowledge of owner is terme... more The network of computers infected with malicious software without the knowledge of owner is termed as Botnets. Cyber criminals use these botnets for malicious activities such as Distributed Denial of Service attacks, blagging of sensitive data. Recent botnets namely zeus, kraken, Nargache and many others apply a technique called DGA (Domain Generated Algorithms). DGA dynamically generates large number of random domains and choose subset for use so that static domains remains ineffective. The legitimate and DGA domains identification are often understood as most difficult to identify. The proposed work deals with the identification of legitimate domains from DGA generated ones using Classification models and N-Gram models. The introduction of N-Gram model with classification model achieves much accuracy.
2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), 2016
The major challenge of Team Based Learning (TBL) or Group learning is its Design and Implement th... more The major challenge of Team Based Learning (TBL) or Group learning is its Design and Implement that assess the student's knowledge and skills. The challenge also includes designing assessment to grade the students based on their contribution to the team performance. Teacher assessing the student's performance in team is a teacher biased process. Therefore Peer evaluation can be included as part of TBL assessment. Peer review is considered as transparent and efficient technique to assess individual in team. But it has also been criticized with respect to fairness. This paper proposes Trusted Relative Peer Review (TRPR) which reduces the disadvantages of peer review to greater extent. It includes two reviews i) Team's Guide review ii) Peer review. The trustworthiness of peer review is decided based correlation of Guides and Peer reviews, depending on which each student is rated relatively for 100 points. After comparisons of results, 65% student teams peer reviews were found to be not trustworthy, which are corrected through proposed TRPR. This review is accepted by 54-58% of students and trusted it. TRPR helped to measure "ability to function in a team" with attainment of 7.7 on the scale of 10. TRPR contributes to the success of TBL implementation in greater extent by overcoming the drawbacks of peer review. It influences individual student's marks based on their contributions. Therefore it ensures students contribute in group work resulting in students learning. Although TRPR is hectic, future work shall try to make it simple.
2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018
Cloud computing technology usage has emerged as a prominent field in providing the computation se... more Cloud computing technology usage has emerged as a prominent field in providing the computation services to the users using the internet. The 3As-AnyTime, AnyWhere and AnyDevice concept changed the industry towards user-centric needs to collaborate and connect with people, which makes software industries to adopt the cloud-based development environment. This created the scope for educationist to enable the students with the skills related to cloud computing technology. A course on distributed and cloud computing is introduced at the undergraduate level for catering to this. The authors discuss the challenges faced in teaching-learning cloud computing technology and the method followed to overcome these. The two main challenges are designing the course content and adopting suitable open source infrastructure tools for hands-on experience. The authors have put efforts in adoption and usage of cloud computing in undergraduate engineering level by proposing a modified Technology Acceptance Model (TAM). This model helped to identify different parameters/attributes to improve academic performance. An activity-based laboratory course is designed in line with the theory course. All the activities are implemented using the open source software environment. The activities planned in the course are assessed based on the outcome based evaluation. The graduate attribute addressed in the course are domain knowledge gain in cloud computing concepts, problem-solving, usage of modern tools and life-long learning. The average attainment of the stated graduate attribute is 77.89% in the course internal semester assessment. The effectiveness of proposed method is validated by defining hypotheses relating to the research questions framed. Results prominently speak about the advantage of TAM and its implementation in the course.
2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), 2016
The technological rebellion has made current generations to depend more on the digital world in t... more The technological rebellion has made current generations to depend more on the digital world in their day to day life. The effectiveness of the digital world has changed the learner's perceptive towards the education system. The impulsivegrowth of technology has increased the popularity of Information and Communication Technology which has created a research scope in Computer network domain thus Computer network course in the curriculum of Computer Science and Engineering plays an important role. It is always a challenge to teach Computer Networks course to students as the course requires a practical exposure more than the chalk and talk. It is very hard for students to envision the concepts of computer networks, protocols formats and understanding packets flow during teaching in classroom. To overcome above said challenge, pedagogical practice such as active learning through simulation tool is identified in delivery of the course. This paper discusses the effective use of a Packet Tracer (PT) simulation tool in the teaching of computer network concepts. A structured learning approach is introduced by using packet tracer tool in teaching network concepts and series of exercises are designed and developed to give the visualization of each layer functionality. These practical exercises helped in active learning to use the packet tracer to simulate campus network. This pedagogy practice encouraged the students' to build the clarity on the physical devices like router, access points, switch and their configurations. The troubleshooting skills were practiced by introducing the errors deliberately and how to resolve is learnt through the tool. Computer network simulation activity include the concepts of NAT, Subnetting, V-LAN setting, services of TCP/UDP, packet format details, application layer protocol like DNS, DHCP, E-Mail, FTP and HTTP. Activity is evaluated through demos, presentation and quizzes. Rubrics based assessment is followed to ensure uniformity and transparencyin the evaluation. The average marks obtained in quiz by students before using PT tool is 65% and after using tool is 85%, it shows significant improvement of 20% in learning the fundamental concepts of computer network course.
2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), 2016
Massive Open Online Course (MOOC) is the best means to learn latest /current technologies which a... more Massive Open Online Course (MOOC) is the best means to learn latest /current technologies which are otherwise difficult to gain access and learn them. A case study of how, MOOC on 'User Experience (UX) provided by Udacity for mobile app' was utilized to enhance the quality of student projects, is presented in this paper. Most of the time, MOOCs are provided by the global experts who teach the course in a best possible way. Also, MOOC directly helps in attaining lifelong learning skills. MOOC can be used in many ways to deliver a curriculum. This paper focuses on, how the learning's and activities specified by MOOC on UX is included as part of student project course, its assessment, evaluation and results. The student projects are mobile apps specified by a company, which emphasized much on UX, the latest industry need. Therefore students were instructed to register for the MOOC on UX and learn on their own. Each student teams had to do UX design as specified in MOOC and same UX design activities were included as a part of project course assessment and evaluated. As a result, students were able to discover additional requirements addressing mobile UX and perform UX based design and construct according to it. These activities helped to attain ABET criteria 'i' with attainment 7.82 on scale of 10.
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