UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 10 | October 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2311390


Registration ID:
528495

Page Number

d735-d736

Share This Article


Jetir RMS

Title

Detection and Prevention of cyberattacks using Cybersecurity: Intrusion detection, malware analysis and threat intelligence

Abstract

AI is increasingly being used in cybersecurity to detect and prevent cyberattacks. Postgraduate students can work on projects related to intrusion detection, malware analysis, and threat intelligence. The rapid growth of technology and the increasing complexity of cyber threats have necessitated the integration of Artificial Intelligence (AI) in the field of cybersecurity. This project report explores the significant role of AI in enhancing cybersecurity through the detection and prevention of cyberattacks. Specifically, it focuses on three crucial areas: intrusion detection, malware analysis, and threat intelligence. By leveraging AI techniques such as machine learning, deep learning, and natural language processing, postgraduate students can develop innovative solutions to combat cyber threats effectively. This report provides an overview of the key concepts, methodologies, challenges, and potential future developments in these areas, serving as a comprehensive resource for researchers and students interested in exploring the intersection of cybersecurity and AI.

Key Words

AI, Cyber Security, Intrusion Detection, Malware Analysis, Threat Intelligence, Machine Learning

Cite This Article

"Detection and Prevention of cyberattacks using Cybersecurity: Intrusion detection, malware analysis and threat intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d735-d736, November-2023, Available :http://www.jetir.org/papers/JETIR2311390.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

"Detection and Prevention of cyberattacks using Cybersecurity: Intrusion detection, malware analysis and threat intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd735-d736, November-2023, Available at : http://www.jetir.org/papers/JETIR2311390.pdf

Publication Details

Published Paper ID: JETIR2311390
Registration ID: 528495
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: d735-d736
Country: jalgaon, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000112

Print This Page

Current Call For Paper

Jetir RMS