Hybrid Feature Selection for Efficient Detection of DDoS Attacks in IoT-Reference-Cited by-同舟云学术

Hybrid Feature Selection for Efficient Detection of DDoS Attacks in IoT

Published:2022-07-26 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Deep Learning Technologies (ICDLT)
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Author:

Hong Liang¹,Wehbi Khadijeh²,Alsalah Tulha Hasan²

Affiliation:

1. Department of Electrical and Computer Engineering, Tenneessee State University, USA

2. Department of Electrical and Computer Engineering, Tennessee State University, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3556677.3556687

Reference19 articles.

1. Yang Y. Wu L. Yin G. Li L. and Zhao H. 2017. A survey on security and privacy issues in Internet-of-Things. IEEE Internet of Things Journal 4(5) pp.1250-1258. Yang Y. Wu L. Yin G. Li L. and Zhao H. 2017. A survey on security and privacy issues in Internet-of-Things. IEEE Internet of Things Journal 4(5) pp.1250-1258.

2. Sonar K. and Upadhyay H. 2014. A survey: DDOS attack on Internet of Things. International Journal of Engineering Research and Development 10(11) pp.58-63.Alsboui T. Qin Y. Hill R. and Al-Aqrabi H. 2020. Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents. Computing 102(6) pp.1345-1363. Sonar K. and Upadhyay H. 2014. A survey: DDOS attack on Internet of Things. International Journal of Engineering Research and Development 10(11) pp.58-63.Alsboui T. Qin Y. Hill R. and Al-Aqrabi H. 2020. Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents. Computing 102(6) pp.1345-1363.

3. Alsboui , T. , Qin , Y. , Hill , R. and Al-Aqrabi , H. , 2020. Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents. Computing, 102(6) , pp. 1345 - 1363 . Alsboui, T., Qin, Y., Hill, R. and Al-Aqrabi, H., 2020. Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents. Computing, 102(6), pp.1345-1363.

4. A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework

5. Wehbi K. Hong L. Al-salah T. and Bhutta A.A. 2019 April. A survey on machine learning based detection on DDoS attacks for IoT systems. In 2019 SoutheastCon (pp. 1-6). IEEE. Wehbi K. Hong L. Al-salah T. and Bhutta A.A. 2019 April. A survey on machine learning based detection on DDoS attacks for IoT systems. In 2019 SoutheastCon (pp. 1-6). IEEE.

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