• ISSN: 2349-6002
  • UGC Approved Journal No 47859
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A Review on Revolutionizing Security by Combining Signature-based and AI-powered Antivirus Protection Techniques

  • Unique Paper ID: 167776
  • Volume: 11
  • Issue: 4
  • PageNo: 323-326
  • Abstract:
  • Since the level of complexity is rising continuously, a multi-layered approach has always been needed in the current hour to combat an ever-evolving landscape of cyber threats. Traditional antivirus products work solely on a single technology and although they employ diverse types of techniques to detect malware, the speed of such detection algorithms may adversely impact the performance of the antivirus products. Advanced antivirus programs like a combination of signature-based and AI-based detection methods play a crucial part in the line of defense. Certain limitations to Signature-based detection have been pointed out in the paper and the possible strategies in which an amalgamation with Artificial Intelligence could be done is also proposed. This paper will collectively cover various aspects of signature-based and AI-powered detection methods for different types of cyber-attacks, providing useful insights for developing new innovative techniques that will enhance cyber-security measures. We aim to have a brief analysis of the existing techniques of these two working together. In addition, a review has been presented on existing methods and algorithms that are used by signature-based antiviruses and AI-powered tools that dynamically minimize the time and improve the accuracy of virus detection. Finally, we present the current research challenges of using signature-based algorithms and the future scope for investigating cybercrime activities
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 4
  • PageNo: 323-326

A Review on Revolutionizing Security by Combining Signature-based and AI-powered Antivirus Protection Techniques

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UGC Approved
Journal no 47859

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