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| Link zu diesem Datensatz | https://d-nb.info/138196978X |
| Titel | 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 / edited by Vikrant Bhateja, Zeenath Reza Khan, Milan Simic, Dilip Kumar Sharma |
| Person(en) |
Bhateja, Vikrant (Herausgeber) Reza Khan, Zeenath (Herausgeber) Simic, Milan (Herausgeber) Sharma, Dilip Kumar (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XXII, 575 p. 230 illus., 213 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-96-9244-6 Printed edition:: ISBN: 978-981-96-9246-0 |
| Inhalt | 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2511190311419.290866976901 DOI: 10.1007/978-981-96-9245-3 |
| URL | https://doi.org/10.1007/978-981-96-9245-3 |
| ISBN/Einband/Preis | 978-981-96-9245-3 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Networks and Systems ; 1538 |
| DDC-Notation | 004 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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