Malware Attack Detection on IoT Devices Using Machine Learning-Reference-Cited by-同舟云学术

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Malware Attack Detection on IoT Devices Using Machine Learning

Published:2022 Issue: Volume: Page:11-22
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
language:
Short-container-title:

Author:

Achary Rathnakar,Shelke Chetan J.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3311-0_2

Reference20 articles.

1. Dietz C, Castro RL, Steinberger J, Wilczak C, Antzek M, Sperotto A, Pras A (2018) IoT-botnet detection and isolation by access routers. In: 2018 9th International conference on the network of the future

2. Muncaster P (2017) Mirai-busting Hajime worm could be work of white hat. Infosecurity Mag, 20 Apr 2017. www.infosecurity-magazine.com/news/mirai-busting-hajime-worm-could

3. Yegenshen (2017) IoT_reaper: a rapid spreading new IoT botnet. http://blog.netlab.360.com/iot_reaper-a-rappid-spreading-new-iot-botnet-en/

4. Beek C. Mirai botnet creates army of IoT orcs. https://securingtomorrow.mcafee.com/mcafee-labs/mirai-botnet-creates-army-iot-orcs/

5. Kolias C, Kambourakis G, Stavrou A, Voas J (2017) Ddos in the IoT: Mirai and other botnets. Computer 50(7):80–84

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1. Social Engineering Defender (SE.Def): Human Emotion Factor Based Classification and Defense against Social Engineering Attacks;2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1);2023-04-21

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