Information System Design: Communication Networks and Internet of Things : Proceedings of Ninth International Conference on Information System Design and Intelligent Applications (ISDIA 2025), Volume 2 (Lecture Notes in Networks and Systems)

  • 予約

Information System Design: Communication Networks and Internet of Things : Proceedings of Ninth International Conference on Information System Design and Intelligent Applications (ISDIA 2025), Volume 2 (Lecture Notes in Networks and Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 490 p.
  • 言語 ENG
  • 商品コード 9789819692446

Full Description

This book presents a collection of high-quality, peer-reviewed research papers from 9th International Conference on Information System Design and Intelligent Applications (ISDIA 2025), held in Dubai, UAE, from 3-4 January 2025. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, and information security.

Contents

Image Encryption with a Hybrid Chaotic Map for Improved Security.- Detecting Cybersecurity Threats Using Convolutional Neural Networks and Machine Learning.- Emerging cyber threats in the quantum era: from neural hacking to space communication vulnerabilities.- Enhancing network efficiency and optimization :  A graph-theoretic approach.- Network Forensics: Techniques, Challenges, and Incident Response.- A Systematic Review of Cloud Security: Architectures, Adoption Challenges, and Emerging Trends.- An Improved Model for Deep Dive Phishing Detection.- BiD-Phish: Bilingual Deep Learning method for Phishing Email Detection for English and Arabic Using CNN and Particle Swarm Optimization.- Steganography techniques in medical images, a systematic review.- Intrusion Detection in VANETs: A Comparative Study of Machine Learning and Deep Learning Models.- YouTube Video Categorization for Targeted Advertise-ment Recommendations using Machine Learning.- Using Machine Learning Algorithms for Anomalies Detection in Modern Wireless Communication Systems.- Botnet Detection and Classification from Network Traffic Byte Streams using Deep Learning.- Leveraging Users' Point of "Interest" For User Adaptive Video Summarization.

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