Frequency of occurrence analysis attack and its countermeasure
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 10, Issue 1 (31 Jan. 2013)9 p.
Publisher
Publication Date
2013-01-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Topics
Abstract EN
This paper addresses a newly discovered security threat named Frequency of Occurrence Analysis (FOA) attack in searchmetics password authentication scheme.
A countermeasure technique that utilises Metaheuristic Randomisation Algorithm (MRA) is proposed to address the FOA attack.
The proposed Algorithm is presented and an offline FOA attack simulation tool is developed to verify the effectiveness of the proposed method.
In addition, a shoulder surfing testing is conducted to evaluate the effectiveness of the proposed method in terms of mitigating shoulder surfing attack.
The experiment results show that MRA is able to prevent FOA and mitigate shoulder surfing attacks.
Moreover, the proposed method is able to provide larger password space compare to the benchmarking scheme.
American Psychological Association (APA)
Por, Lip Yee. 2013. Frequency of occurrence analysis attack and its countermeasure. The International Arab Journal of Information Technology،Vol. 10, no. 1.
https://search.emarefa.net/detail/BIM-312005
Modern Language Association (MLA)
Por, Lip Yee. Frequency of occurrence analysis attack and its countermeasure. The International Arab Journal of Information Technology Vol. 10, no. 1 (Jan. 2013).
https://search.emarefa.net/detail/BIM-312005
American Medical Association (AMA)
Por, Lip Yee. Frequency of occurrence analysis attack and its countermeasure. The International Arab Journal of Information Technology. 2013. Vol. 10, no. 1.
https://search.emarefa.net/detail/BIM-312005
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-312005