A Detection Method for I-CIFA Attack in NDN Network

Zheng, Han; Feng, Wenzhi; Wu, Zhijun

doi:10.1007/978-3-030-97774-0_33

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…As with the prior solution [160], the detection process may consume a lot of resources. In [162], the authors set up sample sets with various detection granularities to improve detection accuracy using an RF classifier. Experimental results show that the scheme could detect IFA attacks with a high detection rate.…”

Section: Machine Learning-based Detection Methodsmentioning

confidence: 99%

DDoS Attack and Detection Methods in Internet-Enabled Networks: Concept, Research Perspectives, and Challenges

Adedeji

Abu‐Mahfouz

Kurien

2023

JSAN

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In recent times, distributed denial of service (DDoS) has been one of the most prevalent security threats in internet-enabled networks, with many internet of things (IoT) devices having been exploited to carry out attacks. Due to their inherent security flaws, the attacks seek to deplete the resources of the target network by flooding it with numerous spoofed requests from a distributed system. Research studies have demonstrated that a DDoS attack has a considerable impact on the target network resources and can result in an extended operational outage if not detected. The detection of DDoS attacks has been approached using a variety of methods. In this paper, a comprehensive survey of the methods used for DDoS attack detection on selected internet-enabled networks is presented. This survey aimed to provide a concise introductory reference for early researchers in the development and application of attack detection methodologies in IoT-based applications. Unlike other studies, a wide variety of methods, ranging from the traditional methods to machine and deep learning methods, were covered. These methods were classified based on their nature of operation, investigated as to their strengths and weaknesses, and then examined via several research studies which made use of each approach. In addition, attack scenarios and detection studies in emerging networks such as the internet of drones, routing protocol based IoT, and named data networking were also covered. Furthermore, technical challenges in each research study were identified. Finally, some remarks for enhancing the research studies were provided, and potential directions for future research were highlighted.

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Section: Machine Learning-based Detection Methodsmentioning

confidence: 99%

DDoS Attack and Detection Methods in Internet-Enabled Networks: Concept, Research Perspectives, and Challenges

Adedeji

Abu‐Mahfouz

Kurien

2023

JSAN

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“…NDN is a hot topic these days, as many researchers are developing new and novel techniques for NDN [92]. In this article, we collected latest research from different perspectives and distribute it into three classifications as shown in Figure 5.…”

Section: Existing Routing Techneques In Ndnmentioning

confidence: 99%

Named Data Networking: A Survey on Routing Strategies

et al. 2022

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Data has become an increasingly significant component of the Internet as it has increased in popularity. Where people care more about the data than the location of data. The Named Data Network (NDN) took this concept and paired it with the idea of making data a core component rather than host addresses. Because of its in-network caching capability, NDN will become a better contender than current Transmission Control Protocol and Internet Protocol (TCP/IP) based networks as data traffic grows exponentially. NDNrelated challenges are available for investigation as NDN becomes more important. Routing in NDN is another essential domain that needs to be addressed, and several approaches have been presented to address routing concerns in NDN. In this study, we discuss and highlight NDN and its routing strategies comprehensively. In addition, this research illustrates a comparison of important routing paradigms to emphasis the breadth of routing research in NDN. Also, we investigate the routing attributes of NDN and expose the latest literature on this critical topic. Finally, this study provides useful insights into the emerging areas of guidance in the NDN to assist future studies in addressing challenges and open research issues. INDEX TERMSNamed Data Networks, Open Research issues in NDN, Routing in NDN I.

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