Malware Detection

January 2025
Vol-11, Issue-1
Paper ID: 25660
ISSN: 2395-4396
Downloads: 82
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Abstract & Details

Research Area
Computer Engineering
Keywords
Malware detection cybersecurity threat analysis real-time protection and antivirus solutions.
Abstract
The rise of cyber threats has highlighted the critical need for effective malware detection and prevention systems. Our malware detection website is designed to empower users by providing an intuitive platform to identify, analyze, and mitigate malicious software. Using advanced machine learning algorithms and real-time threat intelligence, the platform ensures robust security against evolving malware threats. Key features include file and URL scanning, behavioral analysis, and comprehensive reports to help users understand potential vulnerabilities. By integrating user-friendly interfaces with cutting-edge cybersecurity technologies, the website aims to protect individuals and organizations from cyber threats while fostering a safer digital environment.

Author Information

# Name Institute / Affiliation
1 Amit Dixit JSPM'S Rajarshi Shahu College Of Engineering
2 Shivam Shinde JSPM'S Rajarshi Shahu College Of Engineering
3 Vinayak Jadhav JSPM'S Rajarshi Shahu College Of Engineering
4 Takdir Salunkhe JSPM'S Rajarshi Shahu College Of Engineering
5 Shivani Jadhav JSPM'S Rajarshi Shahu College Of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Dixit, Amit, Shinde, Shivam, Jadhav, Vinayak, Salunkhe, Takdir, & Jadhav, Shivani (2025). Malware Detection. International Journal of Advance Research and Innovative Ideas In Education, 11(1), 345-350.
MLA Style
Dixit, Amit, et al. "Malware Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 1, 2025, pp. 345-350.
IEEE Style
Amit Dixit, Shivam Shinde, Vinayak Jadhav, Takdir Salunkhe, and Shivani Jadhav, "Malware Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 1, pp. 345-350, 2025.
Vancouver Style
Dixit Amit, Shinde Shivam, Jadhav Vinayak, Salunkhe Takdir, Jadhav Shivani. Malware Detection. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(1):345-350.
Harvard Style
Dixit, Amit, Shinde, Shivam, Jadhav, Vinayak, Salunkhe, Takdir, & Jadhav, Shivani (2025) 'Malware Detection', International Journal of Advance Research and Innovative Ideas In Education, 11(1), pp. 345-350.
Chicago Style
Dixit, Amit, et al. "Malware Detection." International Journal of Advance Research and Innovative Ideas In Education 11, no. 1 (2025): 345-350.
Turabian Style
Dixit, Amit, et al. "Malware Detection." International Journal of Advance Research and Innovative Ideas In Education 11, no. 1 (2025): 345-350.

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