TY - GEN
T1 - Measuring and characterizing IPv6 router availability
AU - Beverly, Robert
AU - Luckie, Matthew
AU - Mosley, Lorenza
AU - Claffy, Kc
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - We consider the problem of inferring IPv6 router uninterrupted system availability, or uptime, from a remote vantage point without privileged access. Uptime inference is important to broader efforts to measure and characterize the availability of critical infrastructure, provides insight into network operations, and has subtle security implications. Our approach utilizes active probes to periodically elicit IPv6 fragment identifiers from IPv6 router interfaces, and analyzes the resulting identifier time series for reboots. We demonstrate the approach’s potential by characterizing 21,539 distinct IPv6 router interfaces over a five-month period. We find evidence of clustered reboot events, popular maintenance windows, and correlation with globally visible control plane data. Our results, validated by five ASes, provide initial insight into the current state of IPv6 router availability.
AB - We consider the problem of inferring IPv6 router uninterrupted system availability, or uptime, from a remote vantage point without privileged access. Uptime inference is important to broader efforts to measure and characterize the availability of critical infrastructure, provides insight into network operations, and has subtle security implications. Our approach utilizes active probes to periodically elicit IPv6 fragment identifiers from IPv6 router interfaces, and analyzes the resulting identifier time series for reboots. We demonstrate the approach’s potential by characterizing 21,539 distinct IPv6 router interfaces over a five-month period. We find evidence of clustered reboot events, popular maintenance windows, and correlation with globally visible control plane data. Our results, validated by five ASes, provide initial insight into the current state of IPv6 router availability.
UR - http://www.scopus.com/inward/record.url?scp=84924388832&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84924388832&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-15509-8_10
DO - 10.1007/978-3-319-15509-8_10
M3 - Conference contribution
AN - SCOPUS:84924388832
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 123
EP - 135
BT - Passive and Active Measurement - 16th International Conference, PAM 2015, Proceedings
A2 - Liu, Yong
A2 - Mirkovic, Jelena
PB - Springer Verlag
T2 - 16th International Conference on Passive and Active Measurement, PAM 2015
Y2 - 19 March 2015 through 20 March 2015
ER -