Buch, Englisch, 575 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1005 g
Proceedings of Ninth International Conference on Information System Design and Intelligent Applications (ISDIA 2025), Volume 2
Buch, Englisch, 575 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1005 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-969244-6
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.




