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Published Paper Details:
Paper Title
AI-Augmented Intrusion Detection Systems (IDS): Opportunities and Pitfalls
Authors
Dr.J.Jebathangam, Dr.R.bhuvana
Keywords
Keywords: Intrusion Detection System (IDS), Adversarial Attacks, Model Drift, Explainable AI (XAI), Anomaly Detection, Zero-Day Attacks,
Abstract
Abstract: Intrusion Detection Systems (IDS) are critical components in safeguarding modern digital infrastructures against cyber threats. Initially rule-based and signature-driven, traditional IDS faced limitations in detecting novel or evolving attacks. With the integration of Artificial Intelligence (AI) and Machine Learning (ML), IDS have significantly improved in accuracy, speed, and adaptability. AI-powered IDS can detect zero-day exploits and reduce false positives through advanced anomaly detection and classification techniques. However, challenges remain--adversarial attacks can exploit ML vulnerabilities, model drift necessitates regular updates, and the use of black-box models raises explainability concerns. This paper provides a comprehensive overview of AI-augmented IDS, highlighting their advantages, common pitfalls, and potential future directions.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A6091
Paper ID - 290101
Page Number(s) - j370-j374
Pubished in - Volume 13 | Issue 6 | June 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dr.J.Jebathangam, Dr.R.bhuvana, "AI-Augmented Intrusion Detection Systems (IDS): Opportunities and Pitfalls", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.j370-j374, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A6091.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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