Title
An Ant Colony Algorithm Based Content Poisoning Mitigation in Named Data Networking
Abstract
Content Poisoning in Named Data Networking (NDN) can greatly reduce the effect of ubiquitous data caching, which is a prominent feature in NDN. Especially, when the NDN routers are compromised by attackers, finding a suitable scheme to mitigate such content poisoning in NDN routers is a challenge. In this paper, we proposed a scheme named Ant Colony Algorithm Based Content Poisoning Mitigation (ACO-CPM) in NDN. This scheme introduces the ACO to probe the safety transmission path and adjust the content retrieval process, by collecting the security information of all routers on the whole path. Meanwhile, the ACO-CPM can bypass the evil routers and therefore prevent the evil routers distributing illegal content any more. Plus, the proposed scheme can mitigate content poisoning by clearing bogus Data packets in the cache store during the path finding process. We implement our scheme by comparing it with ROM scheme in ndnSIM simulator. Simulation results show that our scheme can alleviate the content poisoning attacks caused by evil routers quickly and effectively.
Year
DOI
Venue
2019
10.1109/TrustCom/BigDataSE.2019.00032
2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
Keywords
Field
DocType
Named Data Networking,Content Poisoning Attack,Ant Colony Algorithm,Compromised Routers,Efficiency
Ant colony optimization algorithms,Content retrieval,Computer science,Cache,Content based networking,Network packet,Computer network
Conference
ISSN
ISBN
Citations 
2324-898X
978-1-7281-2778-1
1
PageRank 
References 
Authors
0.36
8
5
Name
Order
Citations
PageRank
Wenjing Cui110.36
Yang Li220815.35
Yan Zhang3142.91
Chang Liu4101.94
Mengqi Zhan510.36