UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 11 Issue 11
November-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRGO06030


Registration ID:
550439

Page Number

302-311

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Title

Role of Artificial Intelligence in Enhancing Cyber Resilience in cloud infrastructure

Abstract

Today most of our major services depend on the cloud infrastructure and it is important that we perform good cyber-resiliency to ensure data protection as well as continuous service availability. This paper emphasizes Artificial Intelligence (AI) as potent broad way of progressing cyber resilient in cloud. Such AI technologies that are relevant to the various advanced threat detection, predictive analytics and automated response mechanisms discussed in this report include machine learning systems such as clustering or classification algorithms, deep learning models adapted for network traffic behavior analysis (e.g. auto encoders which can self-learn normal patterns), and state of art natural language processing methods suitable for building intelligent virtual assistants etc. This study represents a systematic analysis that demonstrates the efficiency of AI-based solutions to address cyber threats, reduce resolution time for incidents and enhance overall system security.Still, in contrast to classical security mechanisms such as Signature-Based Detection Models (SBDM) and Heuristic-Based Detection Models (HBDM), the AI-powered approach provides an elevated level of detection efficiency targeted at well-orchestrated cyber-attacks. This advanced cloud infrastructure now has a cyber resilience framework that includes live monitoring, anomaly detection and self-healing mechanisms with AI support. The experiments reveal that the amalgamation of AI technologies dramatically reduces cyber incidents and enhances reliability as well security on cloud service.

Key Words

Artificial Intelligence (AI), Cyber Resilience , Cloud Infrastructure, Machine Learning Deep Learning,Threat Detection, Predictive Analytics, Automated Response , Cyber security, Anomaly Detection

Cite This Article

"Role of Artificial Intelligence in Enhancing Cyber Resilience in cloud infrastructure", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.302-311, November-2024, Available :http://www.jetir.org/papers/JETIRGO06030.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Role of Artificial Intelligence in Enhancing Cyber Resilience in cloud infrastructure", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. pp302-311, November-2024, Available at : http://www.jetir.org/papers/JETIRGO06030.pdf

Publication Details

Published Paper ID: JETIRGO06030
Registration ID: 550439
Published In: Volume 11 | Issue 11 | Year November-2024
DOI (Digital Object Identifier):
Page No: 302-311
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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