The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Password Strength: An Empirical Analysis
Abstract
It is a well known fact that user-chosen passwords are somewhat predictable: by using tools such as dictionaries or probabilistic models, attackers and password recovery tools can drastically reduce the number of attempts needed to guess a password. Quite surprisingly, however, existing literature does not provide a satisfying answer to the following question: given a number of guesses, what is the probability that a state-of-the-art attacker will be able to break a password? To answer the former question, we compare and evaluate the effectiveness of currently known attacks using various datasets of known passwords. We find that a "diminishing returns" principle applies: in the absence of an enforced password strength policy, weak passwords are common; on the other hand, as the attack goes on, the probability that a guess will succeed decreases by orders of magnitude. Even extremely powerful attackers won't be able to guess a substantial percentage of the passwords. The result of this work will help in evaluating the security of authentication means based on user- chosen passwords, and our methodology for estimating password strength can be used as a basis for creating more effective proactive password checkers for users and security auditing tools for administrators.
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Cites
Adams, A., & Sasse, M. A. (1999) · Communications of the ACM · doi:10.1145/322796.322806 · Cited by 1,401
A large-scale study of web password habits
Florencio, D., & Herley, C. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242661 · Cited by 1,047
Password security: a case history
Morris, R., & Thompson, K. (1979) · Communications of the ACM · doi:10.1145/359168.359172 · Cited by 926
Telling humans and computers apart automatically
von Ahn, L., Blum, M., & Langford, J. (2004) · Communications of the ACM · doi:10.1145/966389.966390 · Cited by 895
Password Cracking Using Probabilistic Context-Free Grammars
Weir, M., Aggarwal, S., Medeiros, B. D., & Glodek, B. (2009) · 2009 30th IEEE Symposium on Security and Privacy · doi:10.1109/sp.2009.8 · Cited by 524
Making a Faster Cryptanalytic Time-Memory Trade-Off
Oechslin, P. (2003) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-45146-4_36 · Cited by 494
Fast dictionary attacks on passwords using time-space tradeoff
Narayanan, A., & Shmatikov, V. (2005) · Proceedings of the 12th ACM conference on Computer and communications security · doi:10.1145/1102120.1102168 · Cited by 447
Foiling the cracker: A survey of, and improvements to, password security
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Securing passwords against dictionary attacks
Pinkas, B., & Sander, T. (2002) · Proceedings of the 9th ACM conference on Computer and communications security · doi:10.1145/586110.586133 · Cited by 307
Human selection of mnemonic phrase-based passwords
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Cited by
The Science of Guessing: Analyzing an Anonymized Corpus of 70 Million Passwords
Bonneau, J. (2012) · 2012 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2012.49 · Cited by 687
Wang, D., Cheng, H., Wang, P., Huang, X., & Jian, G. (2017) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2017.2721359 · Cited by 499
A Survey on Systems Security Metrics
Pendleton, M., Garcia-Lebron, R., Cho, J.-H., & Xu, S. (2017) · ACM Computing Surveys · doi:10.1145/3005714 · Cited by 283
(2017) · doi:10.1145/3133956.3134067 · Cited by 187
Blockchain based approach to enhance big data authentication in distributed environment
Abdullah, N., Hakansson, A., & Moradian, E. (2017) · 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) · doi:10.1109/icufn.2017.7993927 · Cited by 72
Metadata
- Authors
- Dell'Amico, M., Michiardi, P., & Roudier, Y.
- Venue
- 2010 Proceedings IEEE INFOCOM
- Publisher
- IEEE
- Published
- 2010-03
- Pages
- 1-9
- OpenAlex
- W1487941708
- Cited by
- 290
- References
- 14
- FWCI
- 8.10
- Type
- conference paper
- Language
- en
- Open access
- closed
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