Universal Threats in Expert Applications and Solutions : Proceedings of 4th UNI-TEAS 2025, Volume 2 / edited by Vijay Singh Rathore, Vincenzo Piuri, Rosalina Babo, S. Karthik.

Format:

Book

Author/Creator:

Rathore, Vijay Singh.

Contributor:

Piuri, Vincenzo.

Babo, Rosalina.

Kārtik, Es.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1452

Language:

English

Subjects (All):

Computational intelligence.

Data protection.

Artificial intelligence.

Computational Intelligence.

Data and Information Security.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Data and Information Security.

Artificial Intelligence.

Physical Description:

1 online resource (639 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book presents high-quality, peer-reviewed papers from 4th International Conference on “Universal Threats in Expert Applications and Solutions" (UNI-TEAS 2025), jointly being organized by IES University, Bhopal, and Shree KKarni Universe College, Jaipur, in association with CSI Jaipur Chapter and Jaipur ACM Professional Chapter during February 1–4, 2025. The book is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.

Contents:

Leveraging AI to Enhanced ESG Impact Assessment in Sustainable Investments: A Sentiment Analysis

Ray Tracing: Impact on the Gaming Environment

Graphical Passwords and Blockchain: A Dual Approach for Secure Authentication and Encrypted Document Sharing

Mitigating Cloud Security Risks through Role-Based Access and Multi-Level Authentication with Third-Party Auditing

Design and Proposal of Algorithms for Blockchain Security: Multi-Factor Identity Authentication and Fault Tolerance

Advanced Classification of Ischemic and Hemorrhagic Stroke using Deep learning Framework

Exploring AI Approaches and Challenges in Anomaly Detection for Cybersecurity ML.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9672-92-9

9789819672929

OCLC:

1545640190