Detection and Mitigation of LFA Attack in SDN-IoT Network

Alaa Allakany, Geeta Yadav, Kolin Paul, Koji Okamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The security of the Internet of Things (IoT) ecosystem has become a critical challenge due to a tremendous increase in the vulnerable connected IoT devices. Software-Defined Network (SDN) becomes a choice for managing IoT and offers new approaches to solve security problems. Link flooding attack (LFA), cut off the network connectivity on a particular target area of the network. This attack uses legitimate, and low density flows to flood selected links of the target area. Therefore, these flows can not be easily distinguished by traditional approaches. In this paper, firstly, we present a framework for IoT network based on SDN designed for security solutions against LFA attack. The presented framework consists of an SDN controller connected with SDN switches and SDN switches integrated with the IoT-getaway. Secondly, we proposed a scheme that employs hop-by-hop network measurement to capture abnormal link performance for detecting LFA. Afterward, it employs a centralized traffic engineering to eliminate link bottlenecks and mitigating LFA. The proposed scheme will be developed as an application at the application layer of POX controller. The evaluation demonstrates that the proposed method can effectively optimize the process of measuring link performance for detecting and mitigating LFA.

Original languageEnglish
Title of host publicationWeb, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
EditorsLeonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
PublisherSpringer
Pages1087-1096
Number of pages10
ISBN (Print)9783030440374
DOIs
Publication statusPublished - 2020
EventWorkshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020 - Caserta, Italy
Duration: Apr 15 2020Apr 17 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1150 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceWorkshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
Country/TerritoryItaly
CityCaserta
Period4/15/204/17/20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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