Data Science and Security

Proceedings of IDSCS 2025, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-24074-3
Verlag: Springer

Buch, Englisch, 266 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book presents the best papers from the International Conference on Data Science for Computational Security (IDSCS 2025), organized by CHRIST (Deemed to be University), Bangalore, India, from 14–15 November, 2025. This book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithm design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

Zielgruppe

Research

Autoren/Hrsg.

Shukla, Samiksha

Sayama, Hiroki

Tiwari, Kapil

George, Jossy Paul

Kureethara, Joseph Varghese

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit

Inhaltsverzeichnis

From LSTM to BERT: A Deep Dive into Sentiment Analysis Models.- The Big Data Analysis of Detoured Air Traffic Caused by Military Conflicts in Eastern Europe and Countries of Middle East.- From Zero to RAGs: Balancing Job-NER Performance with Token Cost.- Analysis of Random Forest, CNN, and Bidirectional LSTM for Intrusion Detection on the NSL-KDD dataset.- Adaptive Cyber Risk Management Framework for Critical Infrastructures: Integrating IDS, SOC, and CSIRT for Resilient Threat Mitigation.- Ghost Signals: Ethical RF Adversarial Testing of Consumer Alarm Ecosystems.- Personal Web Observatories for Privacy-First Analytics: A Distributed Architecture for User-Controlled Data, Anonymized Queries, and Resilient Governance.- Transfer Learning-Driven AI Models for Personalized Mental Health Care in Teletherapy.

Über Autor(innen)

Dr. Samiksha Shukla is a scholar and educator specializing in data science, cybersecurity, and privacy-preserving technologies. Currently serving as the head and professor at the Department of CSE-Cyber Security, Dayananda Sagar Academy of Technology and Management, Bangalore, she has made significant contributions to advancing data science education and research. Dr. Shukla established the Department of Data Science at Christ University’s Pune Lavasa Campus, demonstrating her leadership in curriculum development and institutional growth. Her research focus centers on privacy-preserving data mining, secure multi-party computation, and integrated applications of data science in healthcare and social security. She has authored and edited notable publications, including books on data security, data economy, data ethics, bio-inspired computational paradigm, and has numerous research articles published in reputed international journals and conferences.

Dr. Hiroki Sayama is a professor in the Department of Systems Science and Industrial Engineering and the director of the Center for Collective Dynamics of Complex Systems (CoCo), at Binghamton University, State University of New York, USA. He also serves as a non-tenured professor in the School of Commerce at Waseda University, Japan, as well as an external faculty member of the Vermont Complex Systems Center at the University of Vermont. He received his B.Sc., M.Sc., and D.Sc. in Information Science, all from the University of Tokyo, Japan. He did his postdoctoral work at the New England Complex Systems Institute in Cambridge, Massachusetts. His research interests include complex dynamical networks, human and social dynamics, collective behaviors, artificial life/chemistry, interactive systems, and complex systems education, among others.

Dr. Kapil Tiwari is a distinguished senior manager of Software Development at Amazon with over 20 years of extensive experience in AI, big data, and privacy-preserving machine learning. Holding a Ph.D. in Computer Science, he specializes in developing innovative solutions that integrate ethical considerations with cutting-edge technology. His research contributions include multiple patents, influential publications, and books on data ethics and the digital economy, positioning him as a thought leader in the field.

Dr. Jossy P. George is a reputed researcher, author, and academic leader in the field of Computer Science and Human Resources. With a doctoral degree in Computer Science from Christ University, Bengaluru, his research primarily focuses on biometric recognition algorithms, including fingerprint and face recognition, aiming to enhance accuracy and efficiency in biometric systems. He has authored 100 Scopus-indexed publications in reputable international and national journals, contributing significantly to the areas of image processing, biometrics, and artificial intelligence.

Dr. Joseph Varghese Kureethara is a mathematician and academic leader with expertise in graph theory, optimization, and social networks. Currently serving as the head of the Department of Mathematics at Kuriakose Elias College, Mannanam, India, he has also held positions such as the treasurer of the Academy of Discrete Mathematics and Applications and director of the Center for Research at Christ University. With a Ph.D. in Mathematics from Manonmaniam Sundaranar University, he has made significant contributions through research and publications spanning various areas, including data science, education, and network theory. His scholarly works include books on data security, pedagogical innovations, and graph theoretical concepts, in addition to numerous journal articles and conference proceedings.