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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 11 | November 2025

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Volume 12 Issue 11
November-2025
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2511384


Registration ID:
571824

Page Number

d759-d768

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Title

Ai for cyber security using ml to detect phising, malware and fraud

Abstract

Artificial Intelligence (AI) has become a powerful tool in modern cybersecurity because cyberattacks are increasing every day and becoming more complex. Traditional security systems depend on fixed rules, which cannot detect new or unknown threats effectively. To solve this, cybersecurity now uses Machine Learning (ML) to analyze large amounts of data, learn patterns, and automatically detect suspicious activities. Using ML, AI systems can identify phishing attacks, malware, and online fraud by studying user behavior, email content, website patterns, network traffic, and system logs. These models can spot unusual activities much faster than humans and reduce false alarms. With the rise of digital transactions, cloud computing, and social media, attackers are finding new ways to target users. AI-powered cybersecurity provides real-time protection by predicting and blocking threats before they cause damage. In simple terms, AI with ML helps cybersecurity become smarter, faster, and more accurate, making it a key technology for protecting data and digital systems today.

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"Ai for cyber security using ml to detect phising, malware and fraud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.d759-d768, November-2025, Available :http://www.jetir.org/papers/JETIR2511384.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

"Ai for cyber security using ml to detect phising, malware and fraud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppd759-d768, November-2025, Available at : http://www.jetir.org/papers/JETIR2511384.pdf

Publication Details

Published Paper ID: JETIR2511384
Registration ID: 571824
Published In: Volume 12 | Issue 11 | Year November-2025
DOI (Digital Object Identifier):
Page No: d759-d768
Country: Barabanki , Uttar Pradesh , India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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