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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM41294

Hacker-GPT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM41294

Volume:

9 |

2 |

Feb 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM41294

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

Sharon Shanthkumar

SRkBR

Sathya Ravindra kumar B R

SR

Shirley Rodrigues

VKMV

Vivek Koundanya M V

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Abstract

HackerGPT is a specialized version of the LLaMA 2 model, designed to assist cybersecurity professionals in identifying vulnerabilities, improving defenses, and raising cybersecurity awareness while adhering to ethical guidelines for responsible use. It offers advanced features, including automated vulnerability detection, customized mitigation strategies, and simulated penetration testing to uncover weak points in networks and applications. HackerGPT continuously updates with the latest threat intelligence to counter emerging cyber-attacks. It provides detailed code and network security auditing, identifying risks such as SQL injections, cross-site scripting (XSS), misconfigurations, and weak encryption settings. During security incidents, HackerGPT offers real-time guidance, such as log analysis, forensic support, and incident response strategies to help professionals mitigate threats effectively. Additionally, HackerGPT serves as a powerful educational tool, offering cybersecurity training, best practices, and real-world scenarios to enhance knowledge. It can assist ethical hackers, security analysts, and developers in understanding and applying security measures efficiently. Organizations can leverage HackerGPT to conduct security assessments, compliance checks, and policy improvements. By promoting cybersecurity awareness and proactive defense strategies, HackerGPT aims to strengthen digital security for individuals, businesses, and institutions, ensuring a safer and more resilient cyber environment.

KEYWORDS

Cybersecurity vulnerabilities threat intelligence penetration testing security auditing incident response ethical hacking

Cite This Article

Sharon Shanthkumar, Sathya Ravindra kumar B R, Shirley Rodrigues, Vivek Koundanya M V, "Hacker-GPT," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 2, Feb 2025. https://doi.org/10.55041/IJSREM41294

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Publication Date

2/1/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Review Report (Confidential)
Copyright Form (Office)

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0

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12

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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