Artificial Intelligence Based Smart and Secured Applications

4th International Conference, ASCIS 2025, Gujarat, India, September 11–13, 2025, Revised Selected Papers, Part IV

AvSridaran Rajagopal,Priti Sajja

Häftad, Engelska, 2026

Del 2822 i serien Communications in Computer and Information Science

1 024 kr

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Beskrivning

This five-volume set CCIS 2819–2823 constitutes the refereed proceedings of the 4th International Conference on Advancements in Smart Computing and Information Security, ASCIS 2025, held in Rajkot, Gujarat, India, during September 11–13, 2025.The 112 full papers and 25 short papers included in these volumes were carefully reviewed and selected from 579 submissions. They are organized into the following topical sections:Part I, II, III: Artificial Intelligence & Machine LearningPart IV: Cyber SecurityPart V: Smart Computing

Produktinformation

Utgivningsdatum:2026-04-14
Mått:155 x 235 x 24 mm
Vikt:668 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:406
Förlag:Springer Nature Switzerland AG
ISBN:9783032178428

Utforska kategorier

Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Cyber Security.- Taxonomy of Tools and Techniques for Cyber Forensic Investigations.-Extending Decentralized Payment Gateways: Cross-Chain Interoperability and Advanced Analytics with StarkNet.- Optimized Self-Adaptive Intrusion Detection System (SPIDS) for Enhanced Network Security.- Optimizing Intrusion Detection with Bayesian Optimization in Reactive Intrusion Detection Systems (BO-RIDS) for Enhanced Security Performance.- A Comparative Analysis of Data Mining Approaches for Phishing Email and Website Detection.- Secure EEG Report with Time- Lock Access and Blockchain: A Survey.- Survey on Secure File Integrity & Ownership System Using Blockchain & NFTs.- Survey on Effectiveness of File Integrity Checker in Ensuring Medical Records.- Survey on Cyber Threat Detection Using Honeypot, Isolation Forest & Threat.- Adversarial-Resilient Federated Q-Learning for Scalable Intrusion Detection in WSNs.- Graph Transformer with Explainable AI for Improved Cybersecurity by Detecting and Mitigating IoT Cyber Threats.- Steganography Image Security Using Enhanced Hyperactive Cryptography Model.- Smart Digital Payments: A Comprehensive Literature Review and Research Analysis.- Preserving Mental Health Data Privacy Using Federated Learning and Homomorphic Encryption.- Detecting Network Attacks Using Decision Tree Classifier.- Cyber Deception and Fake Data Injection System Using AI.- Advanced Command and Control Framework for Covert Operations.- Cybersecurity Challenges in IoT-Based Healthcare Monitoring Systems.- AI-Augmented Social Health Analytics: Extracting Mental and Physical Well-being Insights from Social Media and Networks.- Enhancing Bitcoin Address Unlikability: Addressing Gaps in the Evicting-Filling Attack and Proposing a Holistic Defense Framework.- Power Analysis Vulnerability Assessment and Comparative Analysis with Simulator for Arduino Uno.- Database Vulnerabilities and Cyber Resilience in Critical Infrastructure: A Case Study of the 2025 UNFI Cyberattack.- Bridging the Cybersecurity Gap An Intuitive Web Security Scanner for Developers and Novice.- Anomaly Detection in Linux Kernels: A Framework for SSH Intrusion Prevention.- Linux Kernel Hardening Against SSH Attacks: An Audit Log-Driven Approach.- CyberBait: Strengthening Network Deception via Realistic SSH Honeypots.

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