TY - JOUR
T1 - Password typographical error resilience in honey encryption
AU - Choi, Hoyul
AU - Jeong, Jongmin
AU - Woo, Simon S.
AU - Kang, Kyungtae
AU - Hur, Junbeom
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Honey encryption (HE) is a novel password-based encryption scheme that is secure against brute-force attacks even if users’ passwords have min-entropy. However, in HE, decryption with an incorrect key produces fake messages that appear valid. Hence, password typographical errors may confuse even legitimate users. This has been one of the most challenging problems in HE. To tackle this challenge, we propose three types of protocols that enable legitimate users to detect password typographical errors in HE. We conducted a theoretical analysis and performed an IRB-approved user study with 150 participants to compare the performance of each scheme. We also analyzed the security of the proposed schemes against online and offline brute-force attacks. The results from the user study and theoretical analysis show that the proposed schemes can effectively solve the typographical error problem of HE, which can detect typographical errors with 99% accuracy.
AB - Honey encryption (HE) is a novel password-based encryption scheme that is secure against brute-force attacks even if users’ passwords have min-entropy. However, in HE, decryption with an incorrect key produces fake messages that appear valid. Hence, password typographical errors may confuse even legitimate users. This has been one of the most challenging problems in HE. To tackle this challenge, we propose three types of protocols that enable legitimate users to detect password typographical errors in HE. We conducted a theoretical analysis and performed an IRB-approved user study with 150 participants to compare the performance of each scheme. We also analyzed the security of the proposed schemes against online and offline brute-force attacks. The results from the user study and theoretical analysis show that the proposed schemes can effectively solve the typographical error problem of HE, which can detect typographical errors with 99% accuracy.
KW - Brute-force resilience
KW - Honey encryption
KW - Password typographical error
KW - Password-based encryption
KW - Typographical error resilience
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U2 - 10.1016/j.cose.2018.07.020
DO - 10.1016/j.cose.2018.07.020
M3 - Article
AN - SCOPUS:85055653864
JO - Computers and Security
JF - Computers and Security
SN - 0167-4048
ER -