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A Characterization of Cybersecurity Posture from Network Telescope Data
- Source :
- Trusted Systems ISBN: 9783319279978, INTRUST
- Publication Year :
- 2015
- Publisher :
- Springer International Publishing, 2015.
-
Abstract
- Data-driven understanding of cybersecurity posture is an important problem that has not been adequately explored. In this paper, we analyze some real data collected by CAIDA's network telescope during the month of March 2013. We propose to formalize the concept of cybersecurity posture from the perspectives of three kinds of time series: the number of victims i.e., telescope IP addresses that are attacked, the number of attackers that are observed by the telescope, and the number of attacks that are observed by the telescope. Characterizing cybersecurity posture therefore becomes investigating the phenomena and statistical properties exhibited by these time series, and explaining their cybersecurity meanings. For example, we propose the concept of sweep-time, and show that sweep-time should be modeled by stochastic process, rather than random variable. We report that the number of attackers and attacks from a certain country dominates the total number of attackers and attacks that are observed by the telescope. We also show that substantially smaller network telescopes might not be as useful as a large telescope.
- Subjects :
- Series (mathematics)
Computer science
Stochastic process
Network telescope
Darknet
Astrophysics::Instrumentation and Methods for Astrophysics
ComputingMilieux_LEGALASPECTSOFCOMPUTING
020206 networking & telecommunications
02 engineering and technology
Characterization (mathematics)
Computer security
computer.software_genre
law.invention
Telescope
law
020204 information systems
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
0202 electrical engineering, electronic engineering, information engineering
Time series
computer
Random variable
Computer Science::Cryptography and Security
Subjects
Details
- ISBN :
- 978-3-319-27997-8
- ISBNs :
- 9783319279978
- Database :
- OpenAIRE
- Journal :
- Trusted Systems ISBN: 9783319279978, INTRUST
- Accession number :
- edsair.doi...........3c5b71fc2bce48d72e71d513bf33904b