Botnet and Internet of Things (IoTs)

Author:

Alieyan Kamal1ORCID,Almomani Ammar2ORCID,Abdullah Rosni1,Almutairi Badr3,Alauthman Mohammad4ORCID

Affiliation:

1. Universiti Sains Malaysia, Malaysia

2. Al-Balqa Applied University, Jordan

3. Majmaah University, Saudi Arabia

4. Zarqa University, Jordan

Abstract

In today's internet world the internet of things (IoT) is becoming the most significant and developing technology. The primary goal behind the IoT is enabling more secure existence along with the improvement of risks at various life levels. With the arrival of IoT botnets, the perspective towards IoT products has transformed from enhanced living enabler into the internet of vulnerabilities for cybercriminals. Of all the several types of malware, botnet is considered as really a serious risk that often happens in cybercrimes and cyber-attacks. Botnet performs some predefined jobs and that too in some automated fashion. These attacks mostly occur in situations like phishing against any critical targets. Files sharing channel information are moved to DDoS attacks. IoT botnets have subjected two distinct problems, firstly, on the public internet. Most of the IoT devices are easily accessible. Secondly, in the architecture of most of the IoT units, security is usually a reconsideration. This particular chapter discusses IoT, botnet in IoT, and various botnet detection techniques available in IoT.

Publisher

IGI Global

Reference53 articles.

1. Akiyama, M., Kawamoto, T., Shimamura, M., Yokoyama, T., Kadobayashi, Y., & Yamaguchi, S. (2007). A proposal of metrics for botnet detection based on its cooperative behaviour. Applications and the Internet Workshops, 2007. SAINT Workshops in 2007. International Symposium on, 82–82.

2. A Survey of Botnet Technology and Defenses

3. A Survey of Botnet Technology and Defenses

4. An Inside Look at Botnets.;P.Barford;Special Workshop on Malware Detection, Advances in Information Security,2006

5. An algorithm for anomaly-based botnet detection.;J.Binkley;Proceedings of USENIX Steps to Reducing Unwanted Traffic on the Internet Workshop (SRUTI),2006

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1. Towards Evaluating the Effectiveness of Botnet Detection Techniques;Communications in Computer and Information Science;2022

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