Anomaly Threat Detection System using User and Role-Based Profile Assessment

M. Nivedha; Mrs. K. Alice; U. Indumathy

Title:
Anomaly Threat Detection System using User and Role-Based Profile Assessment

Authors:
U. Indumathy | M. Nivedha | Mrs. K. Alice
DOI:
https://doi.org/10.31142/ijtsrd10956

Cite This Article :

U. Indumathy | M. Nivedha | Mrs. K. Alice "Anomaly Threat Detection System using User and Role-Based Profile Assessment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3, April 2018, pp.484-488, URL: https://www.ijtsrd.com/papers/ijtsrd10956.pdf

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Abstract :
In network security the organizations are ever-growing to identify insider threats. Those who have authorized access to sensitive organizational data are placed in a position of power that could well be abused and could cause significant damage to an organization. Traditional intrusion detection systems are neither designed nor capable of identifying those who act maliciously within an organization. We describe an automated system that is capable of detecting insider threats within an organization. We define a tree-structure profiling approach that incorporates the details of activities conducted by each user and each job role and then use this to obtain a consistent representation of features that provide a rich description of the user’s behavior. Deviation can be assessed based on the amount of variance that each user exhibits across multiple attributes, compared against their peers. We have performed experimentation using that the system can identify anomalous behavior that may be indicative of a potential threat. We also show how our detection system can be combined with visual analytics tools to support further investigation by an analyst.

Keywords :
Intrusion, Cyber security, Insider threat

Publication Details:

Unique Identification Number : IJTSRD10956

Published In : Volume-2 | Issue-3, April 2018

Page Number(s) : 484-488

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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