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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM35135
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
Cyber attack detection is a critical component of modern cybersecurity strategies. With the ever-increasing sophistication of cyber threats the need for robust and efficient detection mechanisms has become paramount. This abstract introduces the concept of cyber attack detection and its significance in safeguarding digital assets. It emphasizes the constant evolution of attack methods, necessitating adaptive and intelligent detection systems. The abstract highlights the importance of real-time monitoring, anomaly detection and behavioral analysis as key techniques in identifying cyber threats. It also underscores the role of machine learning in enhancing the accuracy and speed of detection. In conclusion, cyber attack detection is an indispensable aspect of cybersecurity playing a pivotal role in preventing data breaches ensuring data integrity and preserving the trust of digital ecosystems.
KEYWORDS
Publication Date
12/31/45442
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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