A survey of interest flooding attack in named-data networking: Taxonomy, performance and future research challenges

Ren-Ting Lee and Yu-Beng Leau and Yong Jin Park and Mohammed Anbar (2021) A survey of interest flooding attack in named-data networking: Taxonomy, performance and future research challenges. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), 39 (5). pp. 1027-1045. ISSN 2564602

Text FULLTEXT.pdf Restricted to Registered users only Download (1MB) | Request a copy

Abstract

Internet of Things (IoT) allows all entities such as computing devices, machines, objects, people, etc., to interact with each other through their Internet Protocol (IP) addresses without human inter- venti on. Consequently, IP addresses are being exhausted rapidly. Named-Data Networking (NDN) tends to transit the conventional host-centric network into the data-centric network. However, routing attacks such as Interest Flooding Attack (IFA) is a primary security concern. To date, far too little attention has been paid to classify the IFA detection mechanisms and further identify the key points to design an efficient detection technique. This study aimed to conduct a comprehensive survey of state-of-the-art IFA detection mechanisms and analyzed the algorithms used. In this paper, we sum- maize the different types of possible attack models with a specific name with a description in NDN, specifically the PIT-oriented routing attack. Besides, we classified these mechanisms into nine categories with its topology used, analogy metrics and attack focus. Finally, we have highlighted and provide recommendations in some critical pieces of architecture in detection mechanism design as future challenges to secure the IoT data from IFA in NDN.

Item Type:	Article
Keyword:	Analogy metric, Attack model, CIFA, Collusive interest flooding attack, IFA, Interest flooding attack, Named-data networking, NDN, Taxonomy
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q300-390 Cybernetics Q Science > QA Mathematics > QA1-939 Mathematics > QA150-272.5 Algebra
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	JUNAINE JASNI -
Date Deposited:	23 Sep 2025 10:31
Last Modified:	23 Sep 2025 10:31
URI:	https://eprints.ums.edu.my/id/eprint/45168

Actions (login required)

View Item