A passive fingerprint feature for the recognition of Cisco routers

Autor: Jie Liang, Jiesi Han, Gang Xiong
Rok vydání: 2017
Předmět:
Zdroj: 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).
DOI: 10.1109/iaeac.2017.8054168
Popis: Fingerprint recognition of network equipment is closely related to network security. Router equipment, as one of the critical device in network, is the key object of study on the recognition of network equipment. Due to the biggest market shares of Cisco routers, which dominate the data exchange of internet, it's significant to study the recognition of Cisco routers for safeguarding network security. Thus this passage takes Cisco routers as an example to accomplish fingerprint recognition. We extract the inter-arrival time of a Cisco router's private protocol as the signature fingerprint and analyze its probability density distribution. Through experiments we effectively achieve accurate identification under Cisco routers of different models.
Databáze: OpenAIRE