Spam and Criminal Activity

Author:

Alazab Mamoun,Broadhurst Roderic

Publisher

Elsevier BV

Reference49 articles.

1. Detecting malicious behaviour using supervised learning algorithms of the function calls;M Alazab;International Journal of Electronic Security and Digital Forensics,2013

2. Measuring the Cost of Cybercrime;R Anderson;The Economics of Information Security and Privacy IV,2013

3. Spam, Spam, Spam, Spam, Spam, the FTC, and Spam

4. Developments in the global law enforcement of cyber-crime;R Broadhurst;Policing: an International Journal of Police Strategies and Management,2006

5. Aboriginal sovereignty, ‘crime’ and criminology

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1. Detection of Cyber Attacks in Network Using ML;International Journal of Scientific Research in Science and Technology;2023-03-01

2. Spam Email Filtering using Machine Learning Algorithm;2023 7th International Conference on Computing Methodologies and Communication (ICCMC);2023-02-23

3. A review of spam email detection: analysis of spammer strategies and the dataset shift problem;Artificial Intelligence Review;2022-05-11

4. Detection of P2P Botnets and Creating Smart Grids using Machine Learning and Structured Graph Analysis;2022 6th International Conference on Computing Methodologies and Communication (ICCMC);2022-03-29

5. Spam Emails Detection Based on Distributed Word Embedding with Deep Learning;Studies in Computational Intelligence;2020-12-15

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