 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Literature review paper on "Expert system for intrusion detection in healthcare" |
| Authors Name: | Shailesh Pratap singh , Piyush Singh , Shivang Krishn , Sonal Shukla |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201670
|
| Published Paper Id: | IJRTI2504041 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | 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 |
| Downloads: | 000304 |
| 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 |
| Publication Details: |
Published Paper ID: IJRTI2504041
Registration ID:201670
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a282-a286 Country: Greater Noida , Uttar Pradesh , India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504041 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504041 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||