Authorship Identification and Writeprint Visualization

We describe a new supervised machine learning approach for detecting authorship deception, a specific type of authorship attribution task particularly relevant for cybercrime forensic investigations, and demonstrate its validity on two case studies drawn from realistic online data sets. The core of our approach involves identifying uncharacteristic behavior for an author, based on a writeprint ...

Deliberate differences in how authors represent characters has been a core area of literary investigation since the dawn of literary theory. Here, we focus on epistolary literature, where authors consciously attempt to create different character styles through series of documents like letters. Previous studies suggest that the linguistic gestalt of an author’s style – the author’s writeprint – ...

The cyber world provides an anonymous environment for criminals to conduct malicious activities such as spamming, sending ransom e-mails, and spreading botnet malware. Often, these activities involve textual communication between a criminal and a victim, or between criminals themselves. The forensic analysis of online textual documents for addressing the anonymity problem called authorship anal...

Due to the ubiquitous nature and anonymity abuses in cyberspace, it’s difficult to make criminal identity tracing in cybercrime investigation. Writeprint identification offers a valuable tool to counter anonymity by applying stylometric analysis technique to help identify individuals based on textual traces. In this study, a framework for online writeprint identification is proposed. Variable l...

With the widespread application of computer network technology, diverse anonymous cyber crimes begin to appear in the online community. The anonymous nature of online-information distribution makes writeprint identification a critical forensic problem. But the difficulty of the task is the huge number of features in even a moderate-sized available text corpus, which causes the problem of over-t...

Abstract Synergetic neural network (SNN) associates synergetics with artificial neural network, it can rigorously deal with the behavior of network in the mathematical theory, and have the advantage of fast learning, short pattern recalling time and so on. In this paper, a pattern recognition method based on the self-adaptive attention parameters presented on the basis of analyzing the key tech...

Framing a collective identity is an essential process in a social movement. The identity defines the orientation of public actions to take and establishes an informal interaction network for circulating important information and material resources. While domestic social movements emphasize the coherence of identity in alliance, global or cyber-activism is now flexible in its collective identity...

Many criminals exploit the convenience of anonymity in the cyber world to conduct illegal activities. E-mail is the most commonly used medium for such activities. Extracting knowledge and information from e-mail text has become an important step for cybercrime investigation and evidence collection. Yet, it is one of the most challenging and timeconsuming tasks due to special characteristics of ...