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@article{180226,
        author = {Priyanka V Guadada and Anirudh L and Gurudatta C S and Ranjith S Shreigar and Chirag Gowda and C Nandini},
        title = {BlackHatNet: An Intelligent Offensive Framework for Penetration Testing using Machine Learning and Threat Modeling},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {676-680},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180226},
        abstract = {In the rapidly evolving landscape of 
cybersecurity, offensive security has become a 
proactive approach to identifying and mitigating 
vulnerabilities before malicious actors can exploit 
them. This paper presents the design and development 
of 
an AI-powered offensive security agent 
(BlackHatNet) that leverages artificial intelligence to 
automate and enhance penetration testing and threat 
simulation. The proposed system integrates machine 
learning models with reconnaissance, vulnerability 
analysis, and exploitation modules, enabling adaptive 
and intelligent decision-making in real-time attack 
scenarios. Unlike traditional tools, BlackHatNet can 
learn from historical attack data, predict likely targets 
and vulnerabilities, and dynamically choose optimal 
attack vectors. This not only improves the efficiency 
and accuracy of offensive assessments but also reduces 
the manual effort and time required for red teaming 
exercises. Experimental evaluations demonstrate the 
agent's capability to uncover complex vulnerabilities in 
simulated environments, highlighting its potential as a 
next-generation tool in cybersecurity operations and 
ethical hacking.},
        keywords = {Offensive Security, Penetration Testing, AI  in  Cybersecurity,  Reconnaissance  Red Team Automation,  Automation,  Vulnerability  Assessment, Exploit Generation, Reinforcement  Learning, Post-Exploitation Analysis, AI- Driven  Threat Simulation, Cyber Attack Automation,  Adaptive Exploitation, Intelligent Security Agent,  Ethical Hacking Tools, Machine Learning in Security},
        month = {June},
        }