Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Research on Analysis and Detection Technology for Several Attacks of OSPF Vulnerability

Authors
Nan Li, Yujing Liu, Zexin Lu
Corresponding Author
Nan Li
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.48How to use a DOI?
Keywords
Vulnerability; Simulation; Detection.
Abstract
OSPF is the most widely deployed intra-domain routing protocol within an autonomous system. Although there are several mechanisms, such as flooding and fight-back, strengthening the security of OSPF, some serious vulnerabilities of the protocol are newly exploited. In this paper, we perform simulations of Phantom Router Remote False Adjacency Attack and Disguised LSA Attack against OSPF protocol, analyze their characteristics and compare their effects. According to the analysis results, we propose a Finite State Machine Based detection mechanism to detect the above attacks. Our work shed light on a deep understanding of the attacks and defense of OSPF protocol.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.48How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Nan Li
AU  - Yujing Liu
AU  - Zexin Lu
PY  - 2018/12
DA  - 2018/12
TI  - Research on Analysis and Detection Technology for Several Attacks of OSPF Vulnerability
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.48
DO  - https://doi.org/10.2991/tlicsc-18.2018.48
ID  - Li2018/12
ER  -