Design and Implementation of ASCII based Method for Author Attribution
Monali P. Mohite1, S. Renuka Devi2

1Monali P. Mohite, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, (Tamil Nadu), India.
2S. Renuka Devi, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, (Tamil Nadu), India.

Manuscript received on 29 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1963-1967 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8519078919/19©BEIESP | DOI: 10.35940/ijitee.I8519.078919

Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: With the presence of computer and internet, a developing variety of hoodlums are utilizing the web to spread a wide extend of illicit materials and wrong information universally in mysterious manner, making criminal personality following troublesome in the cybercrime examination handle. The virtual world provides criminals with an anonymous environment to conduct malicious activities such as malware, sending random messages, spamming, stealing intellectual property and sending ransom e-mails. All of these activities are text in somehow. Therefore, there is a need for a tool in order to identify the author or creator of this criminality by analyzing the text. Text-based Authorship Attribution techniques are used to identify the most possible author from a bunch of potential suspects of text. In this paper, the novel approach is presented for authorship attribution in English text using ASCII based processing approach Using this ASCII based method for authorship attribution help us to obtain better result in terms of accuracy and computational efficiency. The result is based on the text which is posted on social media considering real world data set.
Keywords: Computer Forensic, Social Media Forensics, Digital Evidence, Forensic Investigation, Authorship Attribution

Scope of the Article: Social Sciences