Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/165579
Title: Hidden Markov model for masquerade detection based on sequence alignment
Authors: Wei, Qiu
Khong, Andy Wai Hoong
Tay, Wee Peng
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2018
Source: Wei, Q., Khong, A. W. H. & Tay, W. P. (2018). Hidden Markov model for masquerade detection based on sequence alignment. 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 278-285. https://dx.doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00055
Conference: 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Abstract: A masquerade attack, in which an attacker impersonates a legitimate user to utilize the user's privileges, can be triggered either by someone within the organization or by an outsider. We propose the sequence alignment based hidden Markov model (SA-HMM) approach, where we incorporate the benefits of both the sequence alignment and continuous hidden Markov model (HMM). The sequence alignment module for the proposed algorithm allows the algorithm to tolerate variations in user activity sequence. The HMM module takes the positional information between the observations of users into account. The proposed approach achieves a high hit ratio of 94.1% outperforming existing masquerade detection approaches.
URI: https://hdl.handle.net/10356/165579
DOI: 10.1109/dasc/picom/datacom/cyberscitec.2018.00055
Schools: School of Electrical and Electronic Engineering 
Rights: © 2018 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

SCOPUSTM   
Citations 50

3
Updated on May 17, 2024

Web of ScienceTM
Citations 50

3
Updated on Oct 30, 2023

Page view(s)

98
Updated on May 17, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.