“ANONYMOUS ACTIVITY DETECTION USING INTERNAL INTRUSION DETECTION SYSTEM”

Authors

  • Vishakha Gaykar Student Information Technology, DY PATIL INSTITUTE OF ENGINEERING AND TECHNOLOGY, Ambi
  • Ankita Bangar Student Information Technology ,DY PATIL INSTITUTE OF ENGINEERING AND TECHNOLGY, Ambi
  • Komal Babar Student Information Technology, DY PATIL INSTITUTE OF ENGINEERING AND TECHNOLGY, Ambi
  • Nishigandha Mhaske Student Information Technology, DY PATIL INSTITUTE OF ENGINEERING AND TECHNOLGY, Ambi
  • Mr.Suvarna Patil Professor Information Technology, DY PATIL INSTITUTE OF ENGINEERING AND TECHNOLGY, Ambi

Keywords:

Data mining , Intrusion Detection and Protection , system call (SC)

Abstract

The System proposes a security system, named Anonymous Activity Detection using Internal Intrusion
Detection System at system call (SC) level, which creates personal profiles for users to keep track of their usages
habits as the juristic features. The IIDPS uses a local computational framework. The proposed work is regarded with
Digital forensics technique and intrusion detection system. The system designed that implements predefined
algorithms for identifying the attacks over the network. Therefore, in this project, a security system, named the
Anonymous activity detection using Internal Intrusion Detection System is proposed to detect insider attacks at system
call level using data mining and juristic techniques.

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Published

2019-12-25

How to Cite

Vishakha Gaykar, Ankita Bangar, Komal Babar, Nishigandha Mhaske, & Mr.Suvarna Patil. (2019). “ANONYMOUS ACTIVITY DETECTION USING INTERNAL INTRUSION DETECTION SYSTEM”. International Journal of Advance Research in Engineering, Science & Technology, 6(12), 16–18. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1965

Issue

Vol. 6 No. 12 (2019): Volume: 06, Issue: 12 - December, 2019.

Section

Articles