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
Herausgegeben:Bhateja, Vikrant; Reza Khan, Zeenath; Simic, Milan; Sharma, Dilip Kumar

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Networks and Systems 1538
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-9244-6
• Seitenzahl: 490
• Erscheinungstermin: September 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819692446
• Artikelnr.: 74340925

Inhaltsangabe

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.