Advanced Computer Science Applications
Recent Trends in AI, Machine Learning, and Network Security
1st Edition
Published on 15. September 2023
Book
Hardback
386 pages
978-1-77491-239-3 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
Oakville
Canada
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
107 s/w Abbildungen, 11 farbige Abbildungen, 15 s/w Photographien bzw. Rasterbilder, 1 Farbfoto bzw. farbiges Rasterbild, 92 s/w Zeichnungen, 10 farbige Zeichnungen, 42 s/w Tabellen
42 Tables, black and white; 10 Line drawings, color; 92 Line drawings, black and white; 1 Halftones, color; 15 Halftones, black and white; 11 Illustrations, color; 107 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
825 gr
ISBN-13
978-1-77491-239-3 (9781774912393)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Karan Singh | Latha Banda | Manisha Manjul
Advanced Computer Science Applications
Recent Trends in AI, Machine Learning, and Network Security
E-Book
09/2023
1st Edition
Apple Academic Press Inc.
€194.99
Available for download
Karan Singh | Latha Banda | Manisha Manjul
Advanced Computer Science Applications
Recent Trends in AI, Machine Learning, and Network Security
E-Book
09/2023
1st Edition
Apple Academic Press Inc.
€194.99
Available for download
Persons
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.
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.
Content
PART 1: MACHINE LEARNING ALGORITHMS IN SECURITY ANALYTICS 1. Speculative Parallelism on Multicore Chip Architecture Strengthen Green Computing Concept: A Survey 2. Measuring Perceived Quality of Software Ecosystem Based on Transactions in Customer Management Tools 3. Moving Object Detection in Video, Captured by Static Camera: A Survey 4. UAV-Enabled Disaster Management: Applications, Open Issues, and Challenges 5. Cross-Site Scripting Attack Prevention (on Application Layer) 6. TBM-Based Charger Deployment Technique in the Internet of Things 7. Data Mining for the Internet of Things: A Survey PART 2: AI AND MACHINE LEARNING 8. Classification of Web User Interest Level Using Web Usage Mining 9. Design and Development of AI-Assisted Smart Ventilators 10. Descriptive Review of a Nepali Sign Language Recognition System 11. Apriori-Based Algorithms Having Decentralized Approach for Mining Frequent Item-Sets: A Review 12. Impact of Artificial Intelligence and the Internet of Things in Modern Times and Hereafter: An Investigative Analysis 13. Intelligent Post-Lockdown Management System for Public Transportation 14. Smart Walking Stick (for the Blind) 15. Dynamic Nepali Sign Language Recognition 16. Performance Evaluation of a Multiband Embroidered Fractal Antenna on Human Body 17. Learning Deep Representation Using a Fully Convolutional Autoencoder for Automated Floor Plan Image Retrieval 18. Smart Card-Based Privacy Preserving Light-Weight Authentication Protocol for E-Payment Systems 19. DEC-GA: Genetic Algorithm-Based Deterministic Energy-Efficient Clustering Protocol for IoT Transactions in Customer Management Tools 20. Hashtag Recommendation System to Track Streaming News and Capture Dynamic Evolution to Ensure High Coverage (CADENCE) PART 3: NETWORK SECURITY APPLICATIONS 21. Mitigation of RPL Stateless Address Auto-Configuration IPv6 Spoofing Attack in IoT 22. Secure and Early Detection Framework for Covid-19: Standardization of Clinical Process 23. Probabilistic Image Encryption-Based Secure Surveillance Framework for an IoT Environment 24. An Enhanced Approach for Multimetric Geographical Routing in VANETs Using a Fuzzy Interface System 25. Energy-Efficient Privacy Preserving Vehicle Registration Protocol for V2X Communication in VANET 26. Evaluation and Optimization of Congestion Control Scheme for VANETs 27. Dispute Between Countries, a Corresponding Attack on Cyberspace: The New National Security Challenge