1st Edition

Advanced Computer Science Applications Recent Trends in AI, Machine Learning, and Network Security

Edited By Karan Singh, Latha Banda, Manisha Manjul Copyright 2024
    410 Pages 11 Color & 107 B/W Illustrations
    by Apple Academic Press

    410 Pages 11 Color & 107 B/W Illustrations
    by Apple Academic Press

    This new book brings together the most recent trends related to AI, machine learning, and network security. The chapters cover diverse topics on machine learning algorithms and security analytics, AI and machine learning, and ntework security applications. The volume presents a survey of speculative parallelism techniques, performance reviews, and efficient power consumption. The book also covers the concepts of IoT, security early detection for COVID-19, multimetric geoprahpical routing in VANETs, V2X communication in VANET, and optimization of congestion control scheme for VANETs.

    This book is a comprehensive take on recent applications and advancement in the field of computer science and will be of value to scientists, researchers, faculty, and students involved in research in the area of AI, machine learning, and network security.

    PART 1: MACHINE LEARNING ALGORITHMS IN SECURITY ANALYTICS

    1. Speculative Parallelism on Multicore Chip Architecture Strengthen Green Computing Concept: A Survey

    Sudhakar Kumar, Sunil Kr. Singh, and Naveen Aggarwal

    2. Measuring Perceived Quality of Software Ecosystem Based on Transactions in Customer Management Tools

    R. Rajaraman, P. K. Kapur, Deepak Kumar, and K. Velmurugan

    3. Moving Object Detection in Video, Captured by Static Camera: A Survey

    Sneha Mishra and Dileep Kumar Yadav

    4. UAV-Enabled Disaster Management: Applications, Open Issues, and Challenges

    Amina Khan, Sumeet Gupta, and Sachin Kumar Gupta

    5. Cross-Site Scripting Attack Prevention (on Application Layer)

    Prabhpreet Singh Sandhu and Latha Banda

    6. TBM-Based Charger Deployment Technique in the Internet of Things

    Ankita Jaiswal, Sushil Kumar, and Pankaj Kashyap

    7. Data Mining for the Internet of Things: A Survey

    Mukesh Kumar, Sushil Kumar, and Saneh Lata Yadav

    PART 2: AI AND MACHINE LEARNING

    8. Classification of Web User Interest Level Using Web Usage Mining

    Tende Ivo Sake, Latha Banda, and Devendra Gautam

    9. Design and Development of AI-Assisted Smart Ventilators

    Anshul Bhardwaj and Chandra Shekhar Singh

    10. Descriptive Review of a Nepali Sign Language Recognition System

    Kanchan Sapkota, Sailesh Rana, Santosh Khandal, Yugaraj Tamang, and Pankaj Sharma

    11. Apriori-Based Algorithms with a Decentralized Approach for Mining Frequent Item Sets: A Review

    Satvik Vats, Sunny Singh, and B. B. Sagar

    12. Impact of Artificial Intelligence and the Internet of Things in Modern Times and Hereafter: An Investigative Analysis

    Anshul Gupta, Sunil Kr. Singh, and Muskaan Chopra

    13. Intelligent Post-Lockdown Management System for Public Transportation

    Hari Mohan Rai, Barnini Goswami, Shreya Majumdar, and Kajal Gupta

    14. Smart Walking Stick (for the Blind)

    Prabhpreet Singh Sandhu, Deepti Sahu, and Latha Banda

    15. Dynamic Nepali Sign Language Recognition

    Kanchan Sapkota, Santosh Khandal, Sailesh Rana, Yugaraj Tamang, and Pankaj Sharma

    16. Performance Evaluation of a Multiband Embroidered Fractal Antenna on Human Body

    Shruti Gite and Mansi Subhedar

    17. Learning Deep Representation Using a Fully Convolutional Autoencoder for Automated Floor Plan Image Retrieval

    Sayali Deshpande, Rasika Gururaj Khade, Krupa N. Jariwala, and Chiranjoy Chattopadhya

    18. Smart Card-Based Privacy Preserving Light-Weight Authentication Protocol for E-Payment Systems

    N. Sasikaladevi

    19. DEC-GA: Genetic Algorithm Based Deterministic Energy Efficient Clustering Protocol for IoT Transactions in Customer Management Tools

    Indu Dohare and Karan Singh

    20. Hashtag Recommendation System to Track Streaming News and Capture Dynamic Evolution to Ensure High Coverage (CADENCE)

    K. Geetha, N. Sasikaladevi, J. Deebika, and Vindhya Guru Rao

    PART 3: NETWORK SECURITY APPLICATIONS

    21. Mitigation of RPL Stateless Address Auto-Configuration IPv6 Spoofing Attack in IoT

    Saurabh Yadav, Shishir Gangwar, Prateek Kembhavi, B. R. Chandavarkar, and Sneha Kamble

    22. Secure and Early Detection Framework for Covid-19: Standardization of Clinical Process

    Vinay Pathak, Achintya Kumar Pandey, and Rajat Kishor Varshney

    23. Probabilistic Image Encryption-Based Secure Surveillance Framework for an IoT Environment

    Mohd Shariq and Karan Singh

    24. An Enhanced Approach for Multimetric Geographical Routing in VANETs Using a Fuzzy Interface System

    Amarpreet Singh and Navroop Kaur

    25. Energy-Efficient Privacy Preserving Vehicle Registration Protocol for V2X Communication in VANET

    N. Sasikaladevi and Manyam Nandeesh Reddy

    26. Evaluation and Optimization of Congestion Control Scheme for VANETs

    Gopal Singh Rawat and Karan Singh

    27. Dispute Between Countries, A Corresponding Attack on Cyberspace: The  New National Security Challenge

    Kollabathini Siddhardha

    Biography

    Karan Singh, PhD, is Assistant Professor in the School of Computer and Systems Sciences at Jawaharlal Nehru University, New Delhi, India. His areas of interest include multicast communications, information security, cryptography, security issues in wireless sensor networks, intelligent vehicular networks, Internet of Things, and cyber-physical systems. He has published many journal articles and conference papers. He has also attended many international conferences and workshops and has delivered invited talks and lectures.

    Latha Banda, PhD, is Associate Professor of Computer Sciences and Engineering at ABES Engineering College, Ghaziabad, India. She was previously an Associate Professor at Sharda University and Lingaya’s University, India. Her areas of interest include artificial intelligence, recommender systems, machine learning, network security, and soft computing. She has published several journal articles and conference papers and has attended and participated at international conferences and workshops.

    Manisha Manjul, PhD, is working with the Department of Computer Engineering at G. B. Pant DESU Okhla-I Campus, New Delhi, India. She has published several papers in Scopus-indexed journals as well as several conference papers. She organizes workshops, conferences, and faculty development programs. Her primary research interests are in computer network, network security, multicast communication, and object-oriented programming.