TY - JOUR
T1 - Special Characters Usage and Its Effect On Password Security
AU - He, Daojing
AU - Liu, Zhiyong
AU - Zhu, Shanshan
AU - Chan, Sammy
AU - Guizani, Mohsen
PY - 2024/6/1
Y1 - 2024/6/1
N2 - Continuously preventing weak password attacks is one of the most important initiatives to secure IoT and smart contract platforms. Despite their significance as crucial components of passwords, special character segments have been overlooked. This study systematically studies the basic characteristics and semantic patterns of special character segments. We assess the efficacy of special character segment characteristics in cracking trials through assimilation into the latest Probabilistic Context-Free Grammar (PCFGv4) method for password cracking by updating the pre-terminal structure or performing special character segment transformation. Experimental findings demonstrate that a mere 6% transformation rate improves the cracking rate by 3.72% under the optimal assimilation combination. Our investigation reveals that the current password creation policies of mainstream IoT platforms and smart contract wallets overestimate the strength of passwords with special characters. To enhance their passwords, users can employ low-frequency special character semantic strings. For IoT platforms or smart contract wallets, the use of blacklist constructed from special character segment characteristics can effectively mitigate the risk of overestimating the strength of passwords with special characters. © 2024 IEEE.
AB - Continuously preventing weak password attacks is one of the most important initiatives to secure IoT and smart contract platforms. Despite their significance as crucial components of passwords, special character segments have been overlooked. This study systematically studies the basic characteristics and semantic patterns of special character segments. We assess the efficacy of special character segment characteristics in cracking trials through assimilation into the latest Probabilistic Context-Free Grammar (PCFGv4) method for password cracking by updating the pre-terminal structure or performing special character segment transformation. Experimental findings demonstrate that a mere 6% transformation rate improves the cracking rate by 3.72% under the optimal assimilation combination. Our investigation reveals that the current password creation policies of mainstream IoT platforms and smart contract wallets overestimate the strength of passwords with special characters. To enhance their passwords, users can employ low-frequency special character semantic strings. For IoT platforms or smart contract wallets, the use of blacklist constructed from special character segment characteristics can effectively mitigate the risk of overestimating the strength of passwords with special characters. © 2024 IEEE.
KW - Dictionaries
KW - Internet of Things
KW - IoT platforms security
KW - password analysis
KW - password protection
KW - Passwords
KW - Probabilistic logic
KW - Security
KW - Semantics
KW - smart contract wallet security
KW - Smart contracts
KW - weak password attack
KW - Internet of Things (IoT) platforms security
UR - http://www.scopus.com/inward/record.url?scp=85186097440&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85186097440&origin=recordpage
U2 - 10.1109/JIOT.2024.3367323
DO - 10.1109/JIOT.2024.3367323
M3 - RGC 21 - Publication in refereed journal
SN - 2327-4662
VL - 11
SP - 19440
EP - 19453
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 11
ER -