文章基本信息

标题：A Novel Approach for the Adaptation of Honey Encryption to Support Natural Language Message
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作者：Abiodun Esther Omolara ; Aman Jantan ; Oludare Isaac Abiodun 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2233&2234
页码：134-139
出版社：Newswood and International Association of Engineers
摘要：Modern cryptosystems, even though they give confidentiality do not provide resilience against brute-force attacks. Honey encryption (HE) was proposed as a countermeasure to this problem of cryptography. HE is an encryption scheme that supplies valid-looking, but fake plaintext for every incorrect key used by an intruder to decrypt a message. All possible messages relative to the original message are mapped to a seed space such that any key supplied by the attacker when decrypting a message produces a relative, but fake message from the original message and this makes it difficult for him to determine if he has recovered the original message or not. However, a challenging problem with HE is adapting it to natural language message to produce convincing fake messages for documents such as emails. We propose a novel approach of generating decoy message using Stanford Dependency Parser and Wordnet from Princeton. The result shows that the proposed scheme effectively produces convincing decoy messages that fools the attacker. In addition, the structure, length and content of the original message are concealed. Finally, we verify the effectiveness of the proposed scheme by checking the entropy of decoy messages from the plaintext.
关键词：Ciphertext; Brute;Force; Distribution Transforming Encoder (DTE); Honey Encryption (HE); Natural Language Processing (NLP); Plaintext