Isolation forest-based mechanism to defend against interest flooding attacks in named data networking

Interest flooding attacks (named as IFA) have been known as one of the most harmful security attacks in named data network (NDN), information-centric network and content-centric network. When an IFA happens, the attacker will send huge number of interest packets into the network to occupy the networ...

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Main Author: Huang, Chaoran
Other Authors: Ma Maode
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/143788
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1437882023-07-04T16:55:01Z Isolation forest-based mechanism to defend against interest flooding attacks in named data networking Huang, Chaoran Ma Maode School of Electrical and Electronic Engineering EMDMa@ntu.edu.sg Engineering::Electrical and electronic engineering Interest flooding attacks (named as IFA) have been known as one of the most harmful security attacks in named data network (NDN), information-centric network and content-centric network. When an IFA happens, the attacker will send huge number of interest packets into the network to occupy the network resources and prevent legitimate consumers from acquiring high quality of service (QoS). In order to provide efficient network service for normal users, it is critical to design an IFA detection method which can detect malicious packets accurately and rapidly. In this project, the isolation forest algorithm is introduced to tackle this IFA problem by identifying abnormal and legitimate prefix data while constructing iTrees. This method is able to detect malicious prefixes among legitimate prefixes, thereby tracing back to the attackers and restricting the forwarding of malicious interest packets. The results of some experiments show that it is a useful and efficient way to detect malicious intent flooding attacks. Master of Science (Communications Engineering) 2020-09-24T01:49:32Z 2020-09-24T01:49:32Z 2020 Thesis-Master by Coursework https://hdl.handle.net/10356/143788 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Huang, Chaoran
Isolation forest-based mechanism to defend against interest flooding attacks in named data networking
description Interest flooding attacks (named as IFA) have been known as one of the most harmful security attacks in named data network (NDN), information-centric network and content-centric network. When an IFA happens, the attacker will send huge number of interest packets into the network to occupy the network resources and prevent legitimate consumers from acquiring high quality of service (QoS). In order to provide efficient network service for normal users, it is critical to design an IFA detection method which can detect malicious packets accurately and rapidly. In this project, the isolation forest algorithm is introduced to tackle this IFA problem by identifying abnormal and legitimate prefix data while constructing iTrees. This method is able to detect malicious prefixes among legitimate prefixes, thereby tracing back to the attackers and restricting the forwarding of malicious interest packets. The results of some experiments show that it is a useful and efficient way to detect malicious intent flooding attacks.
author2 Ma Maode
author_facet Ma Maode
Huang, Chaoran
format Thesis-Master by Coursework
author Huang, Chaoran
author_sort Huang, Chaoran
title Isolation forest-based mechanism to defend against interest flooding attacks in named data networking
title_short Isolation forest-based mechanism to defend against interest flooding attacks in named data networking
title_full Isolation forest-based mechanism to defend against interest flooding attacks in named data networking
title_fullStr Isolation forest-based mechanism to defend against interest flooding attacks in named data networking
title_full_unstemmed Isolation forest-based mechanism to defend against interest flooding attacks in named data networking
title_sort isolation forest-based mechanism to defend against interest flooding attacks in named data networking
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/143788
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