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- ArticleJune 2024
Human Factors and Security in Digital Twins: Challenges and Future Prospects
AbstractThe advent of the information technology industry has had a progressively beneficial influence on the value chain through the modernization and optimization of production and distribution processes. Digital Twins (DTs) are a combination of ...
- research-articleApril 2024
Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network
International Journal of Information Security (IJOIS), Volume 23, Issue 3Pages 2353–2376https://doi.org/10.1007/s10207-024-00844-wAbstractArtificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks and face challenges such as complex evaluation methods, elevated false positive rates, absence of effective validation, and time-intensive processes. This study ...
- review-articleMay 2024
Speculative Analysis of Wireless Network by Bibliometrics Tool
Wireless Personal Communications: An International Journal (WPCO), Volume 135, Issue 4Pages 2039–2059https://doi.org/10.1007/s11277-024-11064-9AbstractAn emerging subclass of the wireless network is known as a Delay Tolerant Network (DTN), in this network whenever the contact opportunity occurs sender nodes select the relay node randomly and disseminate the message in the network. The basic ...
- research-articleJanuary 2024
A voting gray wolf optimizer-based ensemble learning models for intrusion detection in the Internet of Things
International Journal of Information Security (IJOIS), Volume 23, Issue 3Pages 1557–1581https://doi.org/10.1007/s10207-023-00803-xAbstractThe Internet of Things (IoT) has garnered considerable attention from academic and industrial circles as a pivotal technology in recent years. The escalation of security risks is observed to be associated with the growing interest in IoT ...
- articleNovember 2023
Diagnosis of Cardiovascular Diseases by Ensemble Optimization Deep Learning Techniques
International Journal of Healthcare Information Systems and Informatics (IJHISI-IGI), Volume 19, Issue 1Pages 1–21https://doi.org/10.4018/IJHISI.334021Cardiovascular disease (CVD) is a variety of diseases that affect the blood vessels and the heart. The authors propose a set of deep learning inspired by the approach used in CVD support centers for the early diagnosis of CVD using deep learning ...
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- research-articleOctober 2023
RONSI: a framework for calculating return on network security investment
Telecommunications Systems (TESY), Volume 84, Issue 4Pages 533–548https://doi.org/10.1007/s11235-023-01039-9AbstractThis competitive environment is rapidly driving technological modernization. Sophisticated cyber security attacks are expanding exponentially, inflicting reputation damage and financial and economic loss. Since security investments may take time ...
- research-articleAugust 2023
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction
- Sonika Chandrakant Rathi,
- Sanjay Misra,
- Ricardo Colomo-Palacios,
- R. Adarsh,
- Lalita Bhanu Murthy Neti,
- Lov Kumar
Expert Systems with Applications: An International Journal (EXWA), Volume 223, Issue Chttps://doi.org/10.1016/j.eswa.2023.119806Abstract Context:The application of Software Fault Prediction (SFP) in the software development life cycle to predict the faulty class at the early stage has piqued the interest of various scholars. In the SFP domain, during research analysis, it got ...
- articleJuly 2023
A Machine Learning Technique for Detection of Social Media Fake News
International Journal on Semantic Web & Information Systems (IJSWIS-IGI), Volume 19, Issue 1Pages 1–25https://doi.org/10.4018/IJSWIS.326120The emergence of the Internet and the growing development of online platforms (like Facebook and Instagram) opened the way for disseminating information that hasn't been experienced in the history of mankind earlier. Consumers generate and share more ...
- research-articleJune 2023
FruitQ: a new dataset of multiple fruit images for freshness evaluation
Multimedia Tools and Applications (MTAA), Volume 83, Issue 4Pages 11433–11460https://doi.org/10.1007/s11042-023-16058-6AbstractApplication of artificial intelligence methods in agriculture is gaining research attention with focus on improving planting, harvesting, post-harvesting, etc. Fruit quality recognition is crucial for farmers during harvesting and sorting, for ...
- research-articleApril 2023
Task grouping and optimized deep learning based VM sizing for hosting containers as a service
Journal of Cloud Computing: Advances, Systems and Applications (JOCCASA), Volume 12, Issue 1https://doi.org/10.1186/s13677-023-00441-7AbstractContainers as a service (CaaS) are a kind of services that permits the organization to handle the containers more effectively. Containers are lightweight, require less computing resources, portable, and facilitate better support for microservices. ...
- research-articleMarch 2023
Impact of Mobile Received Signal Strength (RSS) on Roaming and Non-roaming Mobile Subscribers
Wireless Personal Communications: An International Journal (WPCO), Volume 129, Issue 3Pages 1921–1938https://doi.org/10.1007/s11277-023-10217-6AbstractMobile phones have transitioned from voice-centric devices to smart devices supporting functionalities like high-definition video and games, web browsers, radio reception, and video conferencing. Mobile phones are used in telemedicine, health ...
- research-articleJanuary 2023
LSTM-DGWO-Based Sentiment Analysis Framework for Analyzing Online Customer Reviews
Sentiment analysis furnishes consumer concerns regarding products, enabling product enhancement development. Existing sentiment analysis using machine learning techniques is computationally intensive and less reliable. Deep learning in sentiment analysis ...
- review-articleJanuary 2023
Predictive Analytics and Software Defect Severity: A Systematic Review and Future Directions
Software testing identifies defects in software products with varying multiplying effects based on their severity levels and sequel to instant rectifications, hence the rate of a research study in the software engineering domain. In this paper, a ...
- articleOctober 2022
Motivations and Social Media Influencing Online Purchase Intention in India
International Journal of E-Business Research (IJEBR-IGI), Volume 18, Issue 1Pages 1–16https://doi.org/10.4018/IJEBR.312253The purpose of the study is to examine the influence of hedonic and utilitarian motivation on Indian consumer's online purchase intention. Second, this study tried to explore if social media mediates the influence of hedonic and utilitarian motivation ...
- ArticleJuly 2022
Software Product Maintenance: A Case Study
Computer Information Systems and Industrial ManagementPages 81–92https://doi.org/10.1007/978-3-031-10539-5_6AbstractMaintenance is the most important part of software product development. It is a major component of all software development life cycle models (SDLC). Several variables are being used as intermediaries for software systems’ maintainability ...
- ArticleJuly 2022
Correction to: Software Product Maintenance: A Case Study
Computer Information Systems and Industrial ManagementPage C1https://doi.org/10.1007/978-3-031-10539-5_29In an older version of this chapter, the affiliation of Sanjay Misra was presented incorrectly. This has been corrected.
- ArticleJuly 2022
Software Functional Requirements Classification Using Ensemble Learning
Computational Science and Its Applications – ICCSA 2022 WorkshopsPages 678–691https://doi.org/10.1007/978-3-031-10548-7_49AbstractSoftware requirement classification is crucial in segregating the user requirements into functional and quality requirements, based on their feedback or client demand. Doing so manually is time-consuming and not feasible. This can lead to delays ...
- ArticleJuly 2022
An Antibot-Based Web Voting System for Higher Institutions
Computational Science and Its Applications – ICCSA 2022 WorkshopsPages 650–661https://doi.org/10.1007/978-3-031-10548-7_47AbstractThe Internet has caused an evolution in how people socialize, work, and do business. The emergence and improvement in cloud computing and web technologies make interactions and remote processes possible. This advancement has presented an ...
- ArticleJuly 2022
Improved CNN Based on Batch Normalization and Adam Optimizer
Computational Science and Its Applications – ICCSA 2022 WorkshopsPages 593–604https://doi.org/10.1007/978-3-031-10548-7_43AbstractAfter evaluating the difficulty of CNNs in extracting convolution features, this paper suggested an improved convolutional neural network (CNN) method (ICNN-BNDOA), which is based on Batch Normalization (BN), Dropout (DO), and Adaptive Moment ...