Secure Data Science and Applications
Proceedings of ICSDSA 2026, Volume 1
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Beschreibung
The book is a collection of best selected research papers presented at the International Conference on Secure Data Science and Applications (ICSDSA 2026), organized by Dayananda Sagar Academy of Technology and Management, Bengaluru, India, in technical association with The Tejas Scientific Researcher Foundation, India during March 27–28, 2026. The book covers topics in data science and advanced analytics, artificial intelligence and machine learning for security, quantum computing and secure computation, cyber security and information assurance, secure cloud, IoT, and edge computing, image processing and vision-based security, graph theory and secure data science, and mathematics for data science and security.
The book is a collection of best selected research papers presented at the International Conference on Secure Data Science and Applications (ICSDSA 2026), organized by Dayananda Sagar Academy of Technology and Management, Bengaluru, India, in technical association with The Tejas Scientific Researcher Foundation, India during March 27–28, 2026. The book covers topics in data science and advanced analytics, artificial intelligence and machine learning for security, quantum computing and secure computation, cyber security and information assurance, secure cloud, IoT, and edge computing, image processing and vision-based security, graph theory and secure data science, and mathematics for data science and security.
Presents research works in data science and applications Gather the outcomes of ICSDSA 2026, held in Bengaluru, India Serves as a reference resource for researchers and practitioners in academia and industry
Autor*in
Samiksha Shukla
Themen in »Secure Data Science and Applications«
Secure Data Science Artificial Intelligence (AI) Machine Learning (ML) Quantum Computing Data Security Big Data Analytics Cloud and Edge Computing Federated Learning Natural Language Processing (NLP) Explainable AI (XAI) Proceedings of ICSDSA 2026