:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kshetri, Naresh, Kumar, Dilip, Hutson, James, Kaur, Navneet, Osama, Omar Faruq
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2402.01012
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

algoTRIC: Symmetric and asymmetric encryption algorithms for Cryptography -- A comparative analysis in AI era
by: Kshetri, Naresh, et al.
Published: (2024)

An Efficient Anomaly Detection Framework for Wireless Sensor Networks Using Markov Process
by: Mishra, Rahul, et al.
Published: (2025)

Twenty-two years since revealing cross-site scripting attacks: a systematic mapping and a comprehensive survey
by: Hannousse, Abdelhakim, et al.
Published: (2022)

Quantum forgery attacks against OTR structures based on Simon's algorithm
by: Liu, Wenjie, et al.
Published: (2023)

AI Agents vs. Human Investigators: Balancing Automation, Security, and Expertise in Cyber Forensic Analysis
by: Sudhakaran, Sneha, et al.
Published: (2026)

Quantum forgery attacks on COPA,AES-COPA and marble authenticated encryption algorithms
by: Xu, Yinsong, et al.
Published: (2023)

dataRLsec: Safety, Security, and Reliability With Robust Offline Reinforcement Learning for DPAs
by: Pandian, Shriram KS, et al.
Published: (2026)

blockLAW: Blockchain Technology for Legal Automation and Workflow -- Cyber Ethics and Cybersecurity Platforms
by: Pokharel, Bishwo Prakash, et al.
Published: (2024)

Cross-site scripting adversarial attacks based on deep reinforcement learning: Evaluation and extension study
by: Pasini, Samuele, et al.
Published: (2025)

GenXSS: an AI-Driven Framework for Automated Detection of XSS Attacks in WAFs
by: Babaey, Vahid, et al.
Published: (2025)

AISCliteracy: Assessing Artificial Intelligence and Cybersecurity Literacy Levels and Learning Needs of Students
by: Chapagain, Devendra, et al.
Published: (2025)

6AInets: Harnessing artificial intelligence for the 6G network security: Impacts and Challenges
by: Kaur, Navneet, et al.
Published: (2024)

DefTesPY: Cyber defense model with enhanced data modeling and analysis for Tesla company via Python Language
by: Kshetri, Naresh, et al.
Published: (2024)

FSCsec: Collaboration in Financial Sector Cybersecurity -- Exploring the Impact of Resource Sharing on IT Security
by: Sayeed, Sayed Abu, et al.
Published: (2024)

HNMblock: Blockchain technology powered Healthcare Network Model for epidemiological monitoring, medical systems security, and wellness
by: Kshetri, Naresh, et al.
Published: (2024)

detectGNN: Harnessing Graph Neural Networks for Enhanced Fraud Detection in Credit Card Transactions
by: Sultana, Irin, et al.
Published: (2025)

AssessITS: Integrating procedural guidelines and practical evaluation metrics for organizational IT and Cybersecurity risk assessment
by: Rahman, Mir Mehedi, et al.
Published: (2024)

Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection
by: Gabbireddy, Divyesh, et al.
Published: (2026)

An Approach To Enhance IoT Security In 6G Networks Through Explainable AI
by: Kaur, Navneet, et al.
Published: (2024)

$AutoGuardX$: A Comprehensive Cybersecurity Framework for Connected Vehicles
by: Nadeem, Muhammad Ali, et al.
Published: (2025)

SugarChain: Blockchain technology meets Agriculture -- The case study and analysis of the Indian sugarcane farming
by: Kshetri, Naresh, et al.
Published: (2023)

nodeWSNsec: A hybrid metaheuristic approach for reliable security and node deployment in WSNs
by: Mishra, Rahul, et al.
Published: (2025)

Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation
by: Chandra, Joydeep, et al.
Published: (2025)

Correlation inference attacks against machine learning models
by: Creţu, Ana-Maria, et al.
Published: (2021)

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset
by: Hong, Rachel, et al.
Published: (2025)

DLP: towards active defense against backdoor attacks with decoupled learning process
by: Ying, Zonghao, et al.
Published: (2024)

An updated review on cross-correlation of m-sequences
by: Helleseth, Tor, et al.
Published: (2024)

Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering
by: Navneet, Satyam Kumar, et al.
Published: (2025)

The Avatar Cache: Enabling On-Demand Security with Morphable Cache Architecture
by: Bhatla, Anubhav, et al.
Published: (2026)

Revisiting the attacker's knowledge in inference attacks against Searchable Symmetric Encryption
by: Damie, Marc, et al.
Published: (2025)

Detection of ransomware attacks using federated learning based on the CNN model
by: Nguyen, Hong-Nhung, et al.
Published: (2024)

CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
by: Gohari, Rasoul Jafari, et al.
Published: (2024)

Benefits and Limitations of Web3
by: Connors, Collin, et al.
Published: (2024)

Detection and classification of DDoS flooding attacks by machine learning method
by: Tymoshchuk, Dmytro, et al.
Published: (2024)

Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
by: Bensaoud, Ahmed, et al.
Published: (2025)

Comparing privacy notions for protection against reconstruction attacks in machine learning
by: Biswas, Sayan, et al.
Published: (2025)

Requiem for a drone: a machine-learning based framework for stealthy attacks against unmanned autonomous vehicles
by: Kim, Kyo Hyun, et al.
Published: (2024)

Time-based GNSS attack detection
by: Spanghero, Marco, et al.
Published: (2025)

Fuzzy quantitative attack tree analysis
by: Dang, Thi Kim Nhung, et al.
Published: (2024)

Zero-day attack and ransomware detection
by: Nhlapo, Steven Jabulani, et al.
Published: (2024)