St. Thomas College Library

Network Traffic Analysis Using Machine Learning (Record no. 83286)

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040 ## - CATALOGING SOURCE
Transcribing agency STCPL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Thaksen Parvat, et al.
245 ## - TITLE STATEMENT
Title of the article Network Traffic Analysis Using Machine Learning
246 ## - Journal / Periodical
Title of the journal or magazine Indian Journal of Computer Science
Volume, Issue Vol.9; No.3 -
Month & Year May 2024
Pages pp. 32-41
520 ## - SUMMARY, ETC.
Summary, etc. In today’s interconnected world, effective network traffic analysis and security are vital. Our goal is to utilize Machine Learning for real-time analysis of network traffic, providing actionable insights and solutions to both users and network administrators. This involves classifying packets into different applications and identifying anomalies including malware patterns, at both the Transport and Application layers. We are committed to enhancing and updating our user-friendly interface to enable efficient monitoring of network traffic, empowering users to stay informed about network applications and security threats. By continually adapting to evolving network malware and patterns, our system ensures efficiency and effectiveness. Through prioritizing user experience and providing real-time insights, our application addresses the dual challenges of network traffic analysis and cyber security. We recognize the importance of proactive monitoring and resource management in an ever changing digital environment, ultimately contributing to the efficiency and security of networked environments.
630 ## - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title Information Technology & Computer Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term Network Traffic
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term TCP
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term UDP
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term Wireshark
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.indianjournalofcomputerscience.com/index.php/tcsj/article/view/174151">https://www.indianjournalofcomputerscience.com/index.php/tcsj/article/view/174151</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Articles
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Information Technology & Computer Science ST. THOMAS COLLEGE LIBRARY, PALAI ST. THOMAS COLLEGE LIBRARY, PALAI Back Volumes Section 2024-08-23   2024-08-23 2024-08-23 Journal Articles
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