密码
计算机科学
密码破解
性格(数学)
计算机安全
密码强度
一次性密码
几何学
数学
作者
Daojing He,Xiaogang Li,Shanshan Zhu,Sammy Chan,Mohsen Guizani
标识
DOI:10.1109/jiot.2024.3367323
摘要
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.
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