Data Science and Security: Proceedings of IDSCS 2022

This book presents the best selected papers from the International Conference on Data Science for Computational Security (IDSCS 2022), covering various topics in data science, data analytics, and security. It highlights emerging technologies and discusses future solutions and applications.

Format: Paperback / softback
Length: 507 pages
Publication date: 02 July 2022
Publisher: Springer Verlag, Singapore

This book presents the finest selection of papers presented at the International Conference on Data Science for Computational Security (IDSCS 2022), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, from 11 to 12 February 2022. The book explores innovative technologies and delves into future solutions and applications of data science, data analytics, and security.

The book serves as a valuable resource for current research endeavors in the domains of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

The conference aimed to bring together experts, researchers, and practitioners from around the world to discuss cutting-edge developments and challenges in the field of computational security. The papers presented at IDSCS 2022 covered a wide range of topics, including but not limited to:

Data Science and Computational Security: This theme explored the intersection of data science and computational security, focusing on the use of data analytics, machine learning, and artificial intelligence to identify and mitigate security threats.

Data Analytics and Security: The papers in this theme examined the role of data analytics in detecting and analyzing security incidents, as well as developing effective security strategies and policies.

Artificial Intelligence and Security: This theme explored the use of artificial intelligence in developing secure systems, analyzing large amounts of data, and detecting and responding to security threats.

Machine Learning and Security: The papers in this theme discussed the use of machine learning algorithms for intrusion detection, anomaly detection, and other security-related tasks.

Computer Vision and Security: The papers in this theme explored the use of computer vision techniques for video surveillance, face recognition, and other security-related applications.

Algorithms Design and Security: The papers in this theme discussed the design of secure algorithms and protocols for communication, cryptography, and other security-critical applications.

Computer Networking and Security: The papers in this theme examined the security challenges in computer networks, including network intrusion detection, traffic analysis, and network security management.

Data Mining and Security: The papers in this theme explored the use of data mining techniques for identifying patterns and anomalies in security data, as well as developing effective security strategies and policies.

Big Data and Security: The papers in this theme discussed the challenges and opportunities of managing and analyzing large amounts of security data, including data visualization, data compression, and data storage.

Text Mining and Security: The papers in this theme explored the use of text mining techniques for analyzing security-related text data, such as news articles, social media posts, and security logs.

Knowledge Representation and Security: The papers in this theme discussed the use of knowledge representation techniques for representing and reasoning about security-related knowledge, including ontologies, rules, and decision trees.

Soft Computing and Security: The papers in this theme explored the use of soft computing techniques for developing secure systems, including fuzzy logic, neural networks, and genetic algorithms.

Cloud Computing and Security: The papers in this theme examined the security challenges and opportunities of cloud computing, including cloud security, cloud privacy, and cloud resilience.

The conference also featured keynote speeches by renowned experts in the field of computational security, panel discussions, and workshops. The participants had the opportunity to network with fellow researchers, exchange ideas, and collaborate on future research projects.

Overall, IDSCS 2022 was a successful event that contributed to the advancement of knowledge and technology in the field of computational security. The book serves as a valuable resource for researchers, practitioners, and students interested in data science, data analytics, and security.

Weight: 801g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811922107
Edition number: 1st ed. 2022