Abstract. Cryptographic file systems provide little protection against legal or illegal instruments that force the owner of data to release decryption keys for stored data once the presence of encrypted data on an inspected computer has been established. We are interested in how cryptographic file systems can be extended to provide additional protection for such a scenario and we have extended the standard Linux file system (Ext2fs) with a plausible-deniability encryption function. Even though it is obvious that our computer has harddisk encryption software installed and might contain some encrypted data, an inspector will not be able to determine whether we have revealed the access keys to all security levels or only those to a few selected ones. We describe the design of our freely available implementation of this steganographic file system and discuss its security and performance characteristics.

Abstract. This paper presents Anonymouth, a novel framework for anonymizing writing style. Without accounting for style, anonymous authors risk identification. This framework is necessary to provide a tool for testing the consistency of anonymized writing style and a mechanism for adaptive attacks against stylometry techniques. Our framework defines the steps necessary to anonymize documents and implements them. A key contribution of this work is this framework, including novel methods for identifying which features of documents need to change and how they must be changed to accomplish document anonymization. In our experiment, 80% of the user study participants were able to anonymize their documents in terms of a fixed corpus and limited feature set used. However, modifying pre-written documents were found to be difficult and the anonymization did not hold up to more extensive feature sets. It is important to note that Anonymouth is only the first step toward a tool to acheive stylometric anonymity with respect to state-of-the-art authorship attribution techniques. The topic needs further exploration in order to accomplish significant anonymity.

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