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      Security and Information Technologies with AI, Internet Computing and Big-Data Applications

      Proceedings of SITAIBA 2025

      AvGeorge A. Tsihrintzis,Shiuh-Jeng Wang

      Inbunden, Engelska, 2026

      Del 8767 i serien Smart Innovation, Systems and Technologies

      3 326 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      This book presents selected papers from International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications (SITAIBA 2025), held at Chihlee University of Technology, New Taipei City during November 20–22, 2025. This book presents current research in information security, AI and deep learning applications, information processing, cyber-security and evidence investigations, and information hiding and cryptography.

      Produktinformation

      • Utgivningsdatum:2026-08-15
      • Mått:155 x 235 x 36 mm
      • Vikt:990 g
      • Format:Inbunden
      • Språk:Engelska
      • Serie:Smart Innovation, Systems and Technologies
      • Antal sidor:538
      • Förlag:Springer Nature Switzerland AG
      • ISBN:9783032240620

      Utforska kategorier

      • Referensverk och tvärvetenskap inom Samhälle och politik
      • Artificiell intelligens inom Data och IT
      • Elektronik och kommunikationer inom Naturvetenskap och teknik

      Mer om författaren

      George A. Tsihrintzis received (with honors) the Diploma of ECE from the National Technical University of Athens, Greece, and the M.Sc. and Ph.D. degrees in ECE from Northeastern University, Boston, USA. He is currently a Professor in the University of Piraeus, Greece and has served as Director of the Graduate Program of Study in “Advanced Computing and Informatics Systems” (2008–2022), Head of the Department of Informatics (2016-2020) and Member of the Administration Council of the University of Piraeus (2012-2016 and 2022–2026). He has (co-)authored over 400 research publications which have appeared in international journals, book chapters, and conference proceedings. He has organized and chaired over 45 international conferences, has received best paper awards from several international conferences, and has been a keynote speaker of several international conferences. He is the Editor-in-Chief of Intelligent Decision Technologies (IOS Press) and a co-Founder and co-Editor-in-Chief of Learning and Analytics in Intelligent Systems (Springer, 2019-) and Artificial Intelligence-enhanced Software and Systems Engineering (Springer, 2022-). He is ranked among the top 2% of the most influential scientists worldwide of Scientists List at Stanford University ranking in ARTIFICIAL INTELLIGENCE, both career-wise and single year, for several years in a row. Shiuh-Jeng WANG is with the Founder of E-Security Analysis and Management Association (ESAM), the Director with ICCL (Information Cryptology and Construction Lab.), and the Chairman of SecForensics (Intelligence and Security Forensics Lab.). He was a visiting scholar of Computer Science Dept. at Florida State University (FSU), USA in 2002 and 2004, and was a visiting scholar of Dept. of Computer and Information Science and Engineering at University of Florida (UF) in 2002, 2004-05, and 2010-11, respectively. Prof. WANG served the president of ESAM in TAIWAN, since 2018. He academically toured the CyLab with School of Computer Science in Carnegie Mellon University, USA, in 2007 for international project collaboration inspection. He is also the authors of 23 books (in Chinese versions): Information Security, Cryptography and Network Security, State of the Art on Internet Security and Digital Forensics, Eyes of Privacy –Information Security and Computer Forensics, Information Multimedia Security, Computer Forensics and Digital Evidence, Computer Forensics and Security Systems, Computer and Network Security in Practice, Image Processing with Applications, Digital Forensics in Mobile Service with Evidence Investigations, and SCIENCE BOOKs in Fundamental of Cryptography Learning and Security, Forensic Sciences, and Information Technologies with Life Stories/Novels, all published in 2003–04, 2006–07, 2009, 2012–13, 2015–16, and 2019–25. Prof. WANG has published over 400 papers in referred Journals/Conference proceedings/Technique reports so far. He is a member of the IEEE, ACM and served a lot of academic and reputable journals in the position of guest-editors, including the lead guest editor at the issue of Advances in Digital Forensics for Communications and Networking - IEEE J-SAC (IEEE Journal on Selected Areas in Communications) and the issue of Security and Privacy Information Technologies and Applications for Wireless Pervasive Computing Environments -INFORMATION SCIENCES. Jung-San Lee received his Ph.D. in Computer Science and Information Engineering from National Chung Cheng University in 2008.He is currently the Director of the Information and Communication Security Technology Institute at the Institute for Information Industry and a Distinguished Research Chair Professor at Feng Chia University. His research expertise encompasses AI-driven security (including Deepfake defense and APT detection), Zero Trust Architecture involving biometric and behavioral authentication, and Blockchain applications integrated with edge computing and remote digital forensics.

      Innehållsförteckning

      • Deniable Fully Homomorphic Encryption.- On the Security of Puncturable Attribute-Based Encryption from Lattices for Classified Document Sharing.- FHE-based Privacy Preserving Mental Health Alert System for Adolescent Social Media.- A Design of Lightweight Secure Stream Cipher with Hardware Evaluation.- Development of an Integrated Physiological Monitoring Platform for Home-Based Healthcare.- AI Search Assistant Chrome Extension.- A Study on Prompt Length and Framework in Controlling Style for Children's Educational Q&A.- Efficient Registration-Based Signature.- A Generic Construction for Withdrawable Signature.- Data Hiding in Color Images Using Adjacent Mean with Threshold Shifting.- Enhancing Endpoint Security in Industrial Control Systems Using API Sequence Analysis and Deep Learning.- From URL check to Risk Management — A Time Series Approach.
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