• Mr. Omkar Vyas
• Mr. Deepam Kolhe
• Mr. Parth Dhami
• Mr. Ajay Soni
• Abhilasha .S. Narote

Currently, most PC frameworks use client IDs and passwords as the login examples to verify clients. Be that as it may, numerous individuals share their login designs with collaborators and demand these colleagues to help co-assignments, consequently making the example as one of the weakest purposes of PC security. Insider assailants, the legitimate clients of a framework who assault the framework inside, are difficult to recognize since most interruption location frameworks and firewalls distinguish and segregate pernicious practices propelled from the outside universe of the framework as it were. Moreover, a few investigations asserted that breaking down framework calls (SCs) produced by directions can recognize these directions, with which to precisely distinguish assaults, and assault designs are the highlights of an assault. In this way, a security framework, named the Internal Intrusion Detection and Protection System (IIDPS), is proposed to identify insider assaults at SC level by utilizing information mining and scientific procedures. The IIDPS makes clients' close to home profiles to monitor clients' utilization propensity. As their forensic features and determines whether a valid login user is the account holder or not by comparing his/her current computer usage behaviours with the patterns collected in the account holder’s personal profile.

Data mining, insider attack, intrusion detection and protection, system call (SC), users' behaviours.

"AN INTRUSION DETECTION AND PROTECTION SYSTEM BY USING DATA MINING FORENSIC TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.406-409, February-2020, Available :http://www.jetir.org/papers/JETIR2002262.pdf

"AN INTRUSION DETECTION AND PROTECTION SYSTEM BY USING DATA MINING FORENSIC TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp406-409, February-2020, Available at : http://www.jetir.org/papers/JETIR2002262.pdf