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Digital Investigation of Cybercrimes Based on Big Data Analytics Using Deep Learning

Digital Investigation of Cybercrimes Based on Big Data Analytics Using Deep Learning

Ezz El-Din Hemdan, Manjaiah D. H.
Copyright: © 2018 |Pages: 23
ISBN13: 9781522530152|ISBN10: 1522530150|EISBN13: 9781522530169
DOI: 10.4018/978-1-5225-3015-2.ch005
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MLA

Hemdan, Ezz El-Din, and Manjaiah D. H. "Digital Investigation of Cybercrimes Based on Big Data Analytics Using Deep Learning." Deep Learning Innovations and Their Convergence With Big Data, edited by S. Karthik, et al., IGI Global, 2018, pp. 79-101. https://doi.org/10.4018/978-1-5225-3015-2.ch005

APA

Hemdan, E. E. & H., M. D. (2018). Digital Investigation of Cybercrimes Based on Big Data Analytics Using Deep Learning. In S. Karthik, A. Paul, & N. Karthikeyan (Eds.), Deep Learning Innovations and Their Convergence With Big Data (pp. 79-101). IGI Global. https://doi.org/10.4018/978-1-5225-3015-2.ch005

Chicago

Hemdan, Ezz El-Din, and Manjaiah D. H. "Digital Investigation of Cybercrimes Based on Big Data Analytics Using Deep Learning." In Deep Learning Innovations and Their Convergence With Big Data, edited by S. Karthik, Anand Paul, and N. Karthikeyan, 79-101. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3015-2.ch005

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Abstract

Big Data Analytics has become an important paradigm that can help digital investigators to investigate cybercrimes as well as provide solutions to malware and threat prediction, detection and prevention at an early stage. Big Data Analytics techniques can use to analysis enormous amount of generated data from new technologies such as Social Networks, Cloud Computing and Internet of Things to understand the committed crimes in addition to predict the new coming severe attacks and crimes in the future. This chapter introduce principles of Digital Forensics and Big Data as well as exploring Big Data Analytics and Deep Learning benefits and advantages that can help the digital investigators to develop and propose new techniques and methods based on Big Data Analytics using Deep Learning techniques that can be adapted to the unique context of Digital Forensics as well as support performing digital investigation process in forensically sound and timely fashion manner.

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