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Statistical analysis of large passwords lists, used to optimize brute force attacks

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dc.contributor.author Van Heerden, Renier P
dc.contributor.author Vorster, JS
dc.date.accessioned 2009-04-20T13:55:28Z
dc.date.available 2009-04-20T13:55:28Z
dc.date.issued 2009-03
dc.identifier.citation Van Heerden, RP and Vorster, JS. Statistical analysis of large passwords lists, used to optimize brute force attacks. 4th International Conference on Information Warfare and Security. Cape Town, South Africa; 26-27 March 2009, pp 16 en
dc.identifier.isbn 978-1-906638-28-3
dc.identifier.uri http://hdl.handle.net/10204/3328
dc.description 4th International Conference on Information Warfare and Security. Cape Town, South Africa, 26-27 March 2009 en
dc.description.abstract The use of passwords has become endemic in everyday life, and passwords have penetrated most aspects of modern life. The purpose of this paper was to investigate the types of information that can be deduced from password lists, where such lists can be obtained and whether the information obtained can be used to aid brute force password attacks. The World Wide Web and other Internet related search methods were used to obtain password lists. Researchers found that Peer to Peer networks have the most information available. From previous studies and the World Wide Web, the ten most popular passwords from different systems were obtained. Not surprisingly, “password” , “123” and “abc” were found to be the most common passwords. Researchers also obtained the default passwords used by hardware manufacturers from the World Wide Web en
dc.language.iso en en
dc.subject Passwords en
dc.subject Brute force attacks en
dc.subject World Wide Web en
dc.subject Passwords cracking system en
dc.subject Password list en
dc.subject Networks en
dc.subject Information Warfare and Security en
dc.title Statistical analysis of large passwords lists, used to optimize brute force attacks en
dc.type Conference Presentation en
dc.identifier.apacitation Van Heerden, R. P., & Vorster, J. (2009). Statistical analysis of large passwords lists, used to optimize brute force attacks. http://hdl.handle.net/10204/3328 en_ZA
dc.identifier.chicagocitation Van Heerden, Renier P, and JS Vorster. "Statistical analysis of large passwords lists, used to optimize brute force attacks." (2009): http://hdl.handle.net/10204/3328 en_ZA
dc.identifier.vancouvercitation Van Heerden RP, Vorster J, Statistical analysis of large passwords lists, used to optimize brute force attacks; 2009. http://hdl.handle.net/10204/3328 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Van Heerden, Renier P AU - Vorster, JS AB - The use of passwords has become endemic in everyday life, and passwords have penetrated most aspects of modern life. The purpose of this paper was to investigate the types of information that can be deduced from password lists, where such lists can be obtained and whether the information obtained can be used to aid brute force password attacks. The World Wide Web and other Internet related search methods were used to obtain password lists. Researchers found that Peer to Peer networks have the most information available. From previous studies and the World Wide Web, the ten most popular passwords from different systems were obtained. Not surprisingly, “password” , “123” and “abc” were found to be the most common passwords. Researchers also obtained the default passwords used by hardware manufacturers from the World Wide Web DA - 2009-03 DB - ResearchSpace DP - CSIR KW - Passwords KW - Brute force attacks KW - World Wide Web KW - Passwords cracking system KW - Password list KW - Networks KW - Information Warfare and Security LK - https://researchspace.csir.co.za PY - 2009 SM - 978-1-906638-28-3 T1 - Statistical analysis of large passwords lists, used to optimize brute force attacks TI - Statistical analysis of large passwords lists, used to optimize brute force attacks UR - http://hdl.handle.net/10204/3328 ER - en_ZA


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