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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
There has been a correlation between security concerns and the rise of the artificial intelligence industry. Given its propensity to mine huge data for insights, In the domains of spam, machine learning has become widely used, fraud, and malicious file identification. Malicious attackers, on the other hand, have a strong incentive to avoid these techniques. Attackers are limited to using a "black box" assault because they don't know the exact details of the machine type. This study presents an overview of machine learning-based spam detection techniques for Internet of Things devices.
Keyword
Spam, Machine, IOT, Detection, Security, AI.
PDF Download (click here)
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