Thriving on chaos: Proactive detection of command and control domains in internet of things‐scale botnets using DRIFT

Author:

Spaulding Jeffrey1ORCID,Park Jeman1,Kim Joongheon2,Nyang DaeHun3,Mohaisen Aziz1

Affiliation:

1. Computer Science Department University of Central Florida Orlando Florida

2. School of Software Chung‐Ang University Seoul South Korea

3. Computer Science and Information Engineering Inha University Incheon South Korea

Funder

National Science Foundation

National Research Foundation of Korea

Chung-Ang University

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference55 articles.

1. MiddletonP.Forecast analysis: Internet of Things–endpoints worldwide 2016 update.2017.http://gtnr.it/2oRo4aN

2. OWASP.OWASP Internet of Things (IoT) Project.http://bit.ly/1k0dSrD

3. OVH.The DDoS that didn't break the camel's VAC.http://bit.ly/2D36Ufm

4. AntonakakisM AprilT BaileyM et al.Understanding the Mirai botnet. In: Proceedings of the 26th USENIX Security Symposium;2017;Vancouver Canada.

5. WangA MohaisenA ChenS.An adversary‐centric behavior modeling of DDoS attacks. In: Proceedings of the 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS);2017;Atlanta GA.

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2. Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research;Applied Sciences;2021-06-20

3. IoT-based botnet attacks systematic mapping study of literature;Scientometrics;2021-02-09

4. BotDetector: An extreme learning machine‐based Internet of Things botnet detection model;Transactions on Emerging Telecommunications Technologies;2020-06-16

5. Systematic Literature Review on IoT-Based Botnet Attack;IEEE Access;2020

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