Paper Info
Title
Interactive Artificial Bee Colony Supported Passive Continuous Authentication System
Abstract
In this paper, an initiative passive continuous authentication (CA) system based on both hard and soft biometrics is presented. Human facial features are used as hard biometric information for the authentication process, and the clothes' color of a user is employed as the soft biometric information. The passive CA system keeps verifying, without interrupting the user from concentrating on his work. It also provides the capacity for the machine to recognize who is in front of the terminal, reduces the potential security leaks, and denies access to the invader with the stolen account and password. In this system, the face recognition core is implemented not only by the Eigenface method, but also assisted by the interactive artificial bee colony optimization algorithm. The proposed method is evaluated by the ORL face database and tested on the prototype CA system for computer security. The experimental results indicate that the accuracy of recognition is raised up to 3.13%, i.e., from 83.75% to 86.88%, with data from the ORL database, and it is improved by 34.53% on average in the real-time continuous authentication environment.
Year
DOI
Venue
2014
10.1109/JSYST.2012.2208153
IEEE SYSTEMS JOURNAL
Keywords
DocType
Volume
Artificial bee colony (ABC),biometric,continuous authentication (CA),face recognition,passive authentication
Journal
8
Issue
ISSN
Citations 
2
1932-8184
17
PageRank 
References 
Authors
0.78
10
4
Name
Order
Citations
PageRank
Tsai Pei-wei112715.88
Muhammad Khurram Khan23538204.81
Pan Jeng-Shyang32466269.74
Bin-Yih Liao413014.77