Applying Big Data Analytics in DDos Forensics: Challenges and Opportunities-Reference-Cited by-同舟云学术

Applying Big Data Analytics in DDos Forensics: Challenges and Opportunities

Published:2021 Issue: Volume: Page:235-252
ISSN:1613-5113
Container-title:Cybersecurity, Privacy and Freedom Protection in the Connected World
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Author:

Sarmento Augusto Gonzaga,Yeo Kheng Cher,Azam Sami^ORCID,Karim Asif^ORCID,Al Mamun Abdullah^ORCID,Shanmugam Bharanidharan^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-68534-8_15

Reference15 articles.

1. Khattak R, Bano S, Hussain S, Anwar Z (2011) DOFUR: DDoS using mapReduce. Front Inf Technol 117–120

2. Fadil A, Riadi I, Aji S (2017) A novel DDoS attack detection based on Gaussian Naïve Bayes. Bull Electr Eng Inform 6(2):140–148

3. Kupreev O, Badovskaya E, Gutnikov A (2019) DDoS attacks in Q3 2019. SECURELIST [post-print]. https://securelist.com/ddos-report-q3-2019/94958/

4. Zawoad, S, Hasan R (2015) Digital forensics in the age of big data: challenges, approaches, and opportunities. In: 17th international conference on high performance computing and communication (HPCC). 7th international symposium on cyberspace safety and security (CSS), pp 1320–1325

5. Adedayo OM (2016) Big data and digital forensics. In: International conference on cybercrime and computer forensics (ICCCF), pp 1–7

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