Developing a Reliable System for Real-Life Emails Classification Using Machine Learning Approach

Author:

Hamdi Sally D.,Radhi Abdulkareem Merhej

Publisher

Springer Singapore

Reference28 articles.

1. Charalambou, E., Bratskas, R., Karkas, G., Anastasiades, A.: Email forensic tools: a roadmap to email header analysis through a cybercrime use case. J. Pol. Saf. Reliab. Assoc. Summer Saf. Reliab. Semin. 7(1) (2016)

2. Meghanathan, N., Allam, S.R., Moore, L.A.: Tools and techniques for network forensics (2010). arXiv preprint: arXiv:1004.0570

3. Tsochataridou, C., Arampatzis, A., Katos, V.: Improving digital forensics through data mining. In: IMMM 2014, The Fourth International Conference on Advances in Information Mining and Management, September 2016

4. Maria, K.A.: Authorship Attribution Forensics: Feature Selection Methods in Authorship Identification Using A Small E-mail Dataset. M.Sc. thesis, University of Athens (2016)

5. Sridhar, N., Lalitha Bhaskari, D., Avadhani, P.S.: Survey paper on cyber forensics. Int. J. Comput. Sci. Syst. Eng. Inf. Technol. pp. 113–118 (2011)

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