Annihilators through fault injection analysis on selected stream ciphers
Algebraic attacks on stream cipher are important in cryptanalysis to both design- ers and attackers. Generally, complexity of an algebraic attack will increase as the degree of an equation increases. In conducting this attack, we aim to decrease the degree of the targeted boolean equation by...
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my-upm-ir.850112021-05-17T03:13:31Z Annihilators through fault injection analysis on selected stream ciphers 2019-03 Omar @ Othman, Wan Zariman Algebraic attacks on stream cipher are important in cryptanalysis to both design- ers and attackers. Generally, complexity of an algebraic attack will increase as the degree of an equation increases. In conducting this attack, we aim to decrease the degree of the targeted boolean equation by constructing low degree annihilator equa- tion(s). We adopt the Fault Injection Analysis (FIA) methodology to achieve our objectives. In this study, we found annihilator(s) through FIA (inject with value of one (1)) on boolean function of selected stream ciphers. With these injected boolean functions, we proceed to utilize Hao's method to find new annihilator(s). Then we obtained new annihilator(s) on boolean function of Pomaranch, Grain v0 and also LILI-128 stream ciphers. As a result, these newly identified annihilators success- fully reduce the complexity of the published boolean function to guess the initial secret key. It also provides much needed information on the security of these se- lected stream ciphers with respect to FIA. Cryptography stream ciphers 2019-03 Thesis http://psasir.upm.edu.my/id/eprint/85011/ http://psasir.upm.edu.my/id/eprint/85011/1/IPM%202019%2024%20-%20IR.pdf text en public masters Universiti Putra Malaysia Cryptography stream ciphers Kamel Ariffin, Muhammad Rezal |
| institution |
Universiti Putra Malaysia |
| collection |
PSAS Institutional Repository |
| language |
English |
| advisor |
Kamel Ariffin, Muhammad Rezal |
| topic |
Cryptography stream ciphers |
| spellingShingle |
Cryptography stream ciphers Omar @ Othman, Wan Zariman Annihilators through fault injection analysis on selected stream ciphers |
| description |
Algebraic attacks on stream cipher are important in cryptanalysis to both design- ers and
attackers. Generally, complexity of an algebraic attack will increase as the degree of an equation
increases. In conducting this attack, we aim to decrease the degree of the targeted boolean
equation by constructing low degree annihilator equa- tion(s). We adopt the Fault Injection
Analysis (FIA) methodology to achieve our objectives. In this study, we found annihilator(s)
through FIA (inject with value of one (1)) on boolean function of selected stream ciphers. With
these injected boolean functions, we proceed to utilize Hao's method to find new annihilator(s).
Then we obtained new annihilator(s) on boolean function of Pomaranch, Grain v0 and also LILI-128
stream ciphers. As a result, these newly identified annihilators success- fully reduce the
complexity of the published boolean function to guess the initial secret key. It also provides
much needed information on the security of these se-
lected stream ciphers with respect to FIA. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Omar @ Othman, Wan Zariman |
| author_facet |
Omar @ Othman, Wan Zariman |
| author_sort |
Omar @ Othman, Wan Zariman |
| title |
Annihilators through fault injection analysis on selected stream ciphers |
| title_short |
Annihilators through fault injection analysis on selected stream ciphers |
| title_full |
Annihilators through fault injection analysis on selected stream ciphers |
| title_fullStr |
Annihilators through fault injection analysis on selected stream ciphers |
| title_full_unstemmed |
Annihilators through fault injection analysis on selected stream ciphers |
| title_sort |
annihilators through fault injection analysis on selected stream ciphers |
| granting_institution |
Universiti Putra Malaysia |
| publishDate |
2019 |
| url |
http://psasir.upm.edu.my/id/eprint/85011/1/IPM%202019%2024%20-%20IR.pdf |
| _version_ |
1747813511072841728 |