Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Because healthcare organizations are becoming dependent on digital systems for maintaining for storing and maintaining patient data and offering services due to which they have become the prime targets for cyberattacks. Healthcare providers face a significant challenge in protecting patient security and privacy because threats have become more advanced through data breaches and unauthorized network intrusions. This study shows how some of the Artificial Intelligence technologies can improve the functionality of IDS functionality in the healthcare industry. AI uses advanced ML and some basic DL algos such as SVM, RF, Autoencoders, RNN, and NLP to effectively detect anomalies and prevent unauthorized data injections while accurately identifying spoofed data. Through real-time anomaly detection combined with predictive modelling and adaptive learning strategies this proposed method enhances healthcare systems' defences against advanced cyber threats. AI based intrusion detection system can also enhance the protection of data which helps in increasing the trust in digital healthcare platforms while maintaining and keeping patient data confidentiality and handles medical operations.
Keywords:
Keywords: Expert System, Intrusion Detection, Data Injection, Data Spoofing, Cyber Threats, Healthcare Security.
Cite Article:
"Literature review paper on "Expert system for intrusion detection in healthcare"", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a282-a286, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504041.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator