Security Ecosystem in IoT & Cloud

The drainage system is the action of draining waste water and sticky liquid components towards the rivers using particular patterns, drainage channels and streams. Drainage system basically refers to all the piping within the private and public premises which conveys sewage, rainwater and other liquid waste to a point of disposal. The connected devices will make the drainage system more comfortable to operate, monitor, control with less resources and to take necessary actions.

Controlled and precise delivery of fluid is one of the essential requirement in many fluid flow applications such as micro fluidics, Micro Electro Mechanical Systems, micro-machining and in medicinal biological systems. Such deliveries are commonly achieved using syringe pump which generally employs syringes driven by an electric motor. In this work a syringe pump is operated with a Raspberry Pi-System on Single Chip, which is more user friendly than a control with an ordinary microcontroller. It runs on Linux platform which is easy to code and control using Python language. The syringe pump is actuated by stepper motor which has 200 steps per revolution so that precise flow rate is possible compared to other electrical actuators. The stepper is connected to a Dual H-Bridge L293D motor driver, which in turn is powered through the GPIO (General Purpose Input / Output) pins-an integral part of the Raspberry pi. Lead screw mechanism is used in this work to transmit rotary motion of the motor to linear motion of syringe. The pitch length travelled by the screw is minimal and controllable, resulting in a precise flow rate of the fluid which is measured experimentally.

Now-a-days, a growing number of people in a developing countries like India forces to look for new solutions for the continuous monitoring of health checkup. It has become a necessity to visit hospitals frequently for doctor's consultation, which has become financially related and a time consuming process. To overcome this situation, we propose a design to monitor the patient's health conditions such as heart beat, temperature, ECG and BP and send the message to guardian using GSM. In the recent development of internet of things(IoT) makes all objects interconnected and been recognized as the next technical revolution. Patient monitoring is one of the IoT application to monitor the patient health status. Internet of things makes medical equipments more efficient by allowing real time monitoring of health. Using IoT doctor can continuously monitor the patient's on his smart phone and also the patient history will be stored on the web server and doctor can access the information whenever needed from anywhere.

Solution-optimized smart cities that are focused on improving cross-city services, transportation management systems and energy use are now having a tangible and positive effect on city-based quality of life. There are many components of a smart city. The components include smart infrastructure, smart buildings, smart transportation, smart energy, smart health care, smart technology, smart governance, smart education, and smart citizens. Different smart cities have different levels of these smart components, depending on their focus.

Physiological signals are significant indicators that can help anticipate harmful underlying conditions in humans. Recent advancements in medicine and electronics have allowed monitoring of physiological signals cost effectively and noninvasively. People living in remote areas are usually deprived of basic healthcare facilities and the available remote physiological signals monitoring techniques make use of Bluetooth and WLAN (Wireless Local Area Network) technologies which are inoperable in such areas. The system proposed in this paper solves this issue by making use of IoT (Internet of Things) and GPS (Global Positioning System) communication techniques due to their vast availability even at remote locations. The proposed system monitors three physiological signals namely heart rate, skin conductance and skin temperature non-invasively and also classifies stress levels. Finally, the physiological signals and stress levels data is stored for record maintenance and sent to a doctor so that he/she may monitor the patient remotely. A rule based fuzzy logic algorithm is used for stress classification and the results shows that it achieved the highest accuracy when compared to other algorithms found in previous works. In addition to that, a stress levels dataset is also presented in this paper which can be further refined in future research.

In ancient Days Farmers used to figure the maturity of soil and predisposed reservations to develop which to kind of yield. Less concentration about the humidity, level of water and especially climate condition which terrible a farmer increasingly The Internet of things (IOT) is remodeling the agri-business empowering the agriculturists through the extensive range of strategies, for example, accuracy as well as practical farming to deal with challenges in the field. IOT helps in assembly information on circumstances like climate, dampness, temperature and fruitfulness of soil, Crop web based examination empowers discovery of wild plant, level of water, bug location, creature interruption in to the field, trim development, horticulture. IOT techniques utilize farmers to get related with his residence from wherever and at whatever point. Remote sensor structures are utilized for watching the homestead conditions are utilized to control and mechanize the home shapes. In this paper, we presented the survey about the IoT smart agriculture and its techniques to future along future enhancement.

Due to technology problems with cloud computing and it is unable to fulfill real-time applications requirements such as (low latency, performance, and mobility support) and limited storage and computational power with Internet of Things (IoT) devices, Cisco company proposed a new concept call "Fog computing" or "Fog networking" that extend cloud computing to satisfy customer's needs.. However, fog computing faces some security challenges that inherited from cloud computing in addition to new issues that discovered with using fog services. These security issues need to be addressed with practical solutions to provide successful implementation of Fog System. Information technology Researchers and specialist organizations have proposed many solutions to protect systems from malicious activities like inside and outside network attacks. This paper will provide an overview of existing literature on Fog computing to identify common security threats, the impact of risks on the system, what are the current solutions and the effectiveness of solutions. This paper may help to provide a guide for expert concern on designing, developing, and maintaining Fog systems. I. INTRODUCTION Fog Computing is a new technology introduced by Cisco Company in 2014 to extend cloud computing services at the edge of the network. Fog computing aims to reduce latency and improve the efficiency of the network. It facilitates computing, networking and storage services between end-user devices and cloud computing data centres. Due to the fast-growing number of smart devices and applications that connected to cloud computing and consume its services, the new concept called the Internet of Things (IoT) come up to provide more advantages. With the Internet of Things technology, data can be handled efficiently rather than send them to cloud services. In simple words, fog IoT applications will make a smart decision to send data to the best place for processing. If the data is real-time and highly sensitive and need to process as fast as possible, it will send to the nearest fog node (The fog nodes will take different shape such as a router, gateway, switch, and Access Points These fog nodes can collaboratively share storage and computing facilities [1].).But if it can wait for a couple of minutes, it will send to set of fog nodes or cloud for best data analytics.

Under different neurogenic conditions patients may suffer from lack of Bladder fullness sensation which drastically affects patient's quality of life and may even lead to serious kidney damage. To help the patients to void voluntarily and resolve the problem of enuresis several methods were proposed. This paper aims in designing a Non-invasive sensor for bladder fullness sensation and alerting them about the bladder fullness. The urinary continence subject was studied by designing a sensor. The measurement was first made invitro using phantom solution, which simulates the bladder fullness .The Differences in the detected output signal for before (full) and after(empty) voiding in patients was estimated.

Simeck, a lightweight block cipher has been proposed to be one of the encryption that can be employed in the Internet of Things (IoT) applications. Therefore, this paper presents the security of the Simeck32/64 block cipher against side-channel cube attack. We exhibit our attack against Simeck32/64 using the Hamming weight leakage assumption to extract linearly independent equations in key bits. We have been able to find 32 linearly independent equations in 32 key variables by only considering the second bit from the LSB of the Hamming weight leakage of the internal state on the fourth round of the cipher. This enables our attack to improve previous attacks on Simeck32/64 within side-channel attack model with better time and data complexity of 2 35 and 2 11.29 respectively.