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Frequency of Occurrence Analysis Attack and Its Countermeasure

2010
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Lip Yee Por, IAJIT
Dibuat : 2012-06-23, dengan 1 file

Keyword : FOA, MRA, picture-based password, graphical authentication, shoulder surfing.
Subjek : Frequency of Occurrence Analysis Attack and Its Countermeasure
Url : http://www.ccis2k.org/iajit/PDF/vol.10,no.1/4143-7.pdf
Sumber pengambilan dokumen : Internet

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.

Deskripsi Alternatif :

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.

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