Security challenges in internet of things: Distributed denial of service attack detection using support vector machine‐based expert systems

@article{Mubarakali2020SecurityCI,
  title={Security challenges in internet of things: Distributed denial of service attack detection using support vector machine‐based expert systems},
  author={Azath Mubarakali and Karthik Srinivasan and Reham Faya Mukhalid and Subash Chandra Bose Jaganathan and Ninoslav Marina},
  journal={Computational Intelligence},
  year={2020},
  volume={36},
  pages={1580 - 1592}
}
The rapid development of internet of things (IoT) is to be the next generation of the IoT devices are a simple target for attackers due to the lack of security. Attackers can easily hack the IoT devices that can be used to form botnets, which can be used to launch distributed denial of service (DDoS) attack against networks. Botnets are the most dangerous threat to the security systems. Software‐defined networking (SDN) is one of the developing filed, which introduce the capacity of dynamic… 
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References

SHOWING 1-10 OF 30 REFERENCES
A detection method for a novel DDoS attack against SDN controllers by vast new low-traffic flows
TLDR
This paper proposes an effective detection method, which is designed to detect the DDoS attack and to further locate the compromised interfaces the malicious attackers have connected, and demonstrates the superiority of the method in terms of promptness, versatility and accuracy.
Dynamic attack detection and mitigation in IoT using SDN
  • S. Bhunia, G. Mohan
  • Computer Science
    2017 27th International Telecommunication Networks and Applications Conference (ITNAC)
  • 2017
TLDR
An SDN-based secure IoT framework called SoftThings is proposed to detect abnormal behaviors and attacks as early as possible and mitigate as appropriate and initial results show that this framework is capable to detect attacks on IoT with around 98% precision.
A multi-criteria-based DDoS-attack prevention solution using software defined networking
TLDR
This paper analyzes the characteristics of traffic flows up-streaming to a Vietnamese ISP server, during both states of normal and DDoS attack traffic and proposes an SDN-based Attack Prevention Architecture that is able to capture and analyze incoming flows on-the-fly.
Lightweight DDoS flooding attack detection using NOX/OpenFlow
TLDR
This work presents a lightweight method for DDoS attack detection based on traffic flow features, in which the extraction of such information is made with a very low overhead compared to traditional approaches.
A DDoS Attack Detection Method Based on SVM in Software Defined Network
TLDR
The SDN environment by mininet and floodlight is constructed, 6-tuple characteristic values of the switch flow table is extracted, and then DDoS attack model is built by combining the SVM classification algorithms and average accuracy rate of the method is with a small amount of flow collecting.
Early detection of DDoS attacks against SDN controllers
  • S. Mousavi, M. St-Hilaire
  • Computer Science
    2015 International Conference on Computing, Networking and Communications (ICNC)
  • 2015
TLDR
This paper shows how DDoS attacks can exhaust controller resources and provides a solution to detect such attacks based on the entropy variation of the destination IP address and introduces a solution that is effective and lightweight in terms of the resources that it uses.
Handling a trillion (unfixable) flaws on a billion devices: Rethinking network security for the Internet-of-Things
TLDR
It is argued that the network will have to play a critical role in securing IoT deployments and network security needs to be rethink along three key dimensions: abstractions for security policies; mechanisms to learn attack and normal profiles; and dynamic and context-aware enforcement capabilities.
A SDN-oriented DDoS blocking scheme for botnet-based attacks
TLDR
This paper discusses a DDoS blocking application that runs over the SDN controller while using the standard OpenFlow interface, and investigates how a software-defined network can be utilized to overcome the difficulty and effectively block legitimate looking DDoS attacks mounted by a larger number of bots.
...
...