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📢 Call for Papers — Volume 13, Issue 5 (May 2026) | Submission Deadline: May 31, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-3464

DETECTION OF CYBER CRIME BY DATA MINING TECHNIQUE

Author(s):Prof. Rukaiya Shaikh, Aman Memon, Manoj Kumar, Ismaeil Pathan
Institution:Department of Computer Engineering, Al-Ameen College of Engineering, Koregaon Bhima, Pune, India
Published In:Vol. 5, Issue 5 — May 2018
Page No.:510-514
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

This Nowadays internet is accessed by number of peoples all over the world. The client and servercommunicates with each other by exchanging messages among each other. The activity of exchanging can be observedby Log files. Log files include the detailed description of activities that occur over internet. It shows the IP address,login and logout durations, etc. There are many attacks that occur over internet but our focus is on the Dos attack.The Denial of Service attack is identified by one of Data mining technique called pattern recognition. DoS attack is oneof the dangerous attack which overload the server by sending multiple messages or requests from unknown users. Wehave built a system in which DoS attack is detected and described under this paper.

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🕮 How to Cite

Prof. Rukaiya Shaikh, Aman Memon, Manoj Kumar, Ismaeil Pathan, “DETECTION OF CYBER CRIME BY DATA MINING TECHNIQUE”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 5, pp. 510-514, May 2018.

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📅 Submission Deadline
31 May 2026
Vol. 13 | Issue 5
May 2026