Paper Key : IRJ************416
Author: Siddhant B. Sonawane,Ganesh C. Shinde,Siddhesh M. Lende,Prof.shivani Karhale
Date Published: 15 Nov 2024
Abstract
In the rapidly evolving cybersecurity landscape, traditional defenses often fall short against sophisticated threats. An innovative tool that uses deep learning to automate cyber attacks on target systems, providing comprehensive analysis and reports. It demonstrates the potential impact of attacks and offers detailed preventive measures to address identified vulnerabilities. By simulating real-world scenarios, we aim to enhance cybersecurity defenses, enabling organizations to proactively strengthen their security posture. The tool provides actionable insights tailored to specific malware behaviors and covers critical attack phases, including reconnaissance. By recommending proactive defense strategies, it empowers cybersecurity professionals to effectively mitigate future risks. This project bridges the gap between attack simulation and defense, offering a robust framework to counter advanced threats.
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