Detection of IoT-botnet attacks using fuzzy rule interpolation

Author:

Al-Kasassbeh Mouhammd1,Almseidin Mohammad2,Alrfou Khaled3,Kovacs Szilveszter2

Affiliation:

1. Department of Computer Science, Princess Sumaya University for Technology, Amman, Jordan

2. Department of Information Technology, University of Miskolc, Miskolc, Hungary

3. Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference30 articles.

1. King J. and Awad A.I. , A distributed security mechanism for resource-constrained IoT devices, Informatica 40(1), 2016.

2. Gendreau A.A. and Moorman M. , Survey of intrusion detection systems towards an end to end secure internet of things, in 2016 IEEE 4th international conference on future internet of things and cloud (FiCloud). IEEE, (2016), pp. 84–90.

3. Intrusion detection systems for iot-based smart environments: a survey;Elrawy;Journal of Cloud Computing,2018

4. Alkasassbeh M. and Almseidin M. , Machine learning methods for network intrusion detection, in 2018 - the 20th international conference on computing, communication and networking technologies ICCCNT, (2018), pp. 84–90.

5. Fuzzy rule interpolation and snmp-mib for emerging network abnormality;Almseidin;International Journal on Advanced Science, Engineering and Information Technology,2019

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