Non-harmful insertion of data mimicking computer network attacks

Neil, Joshua Charles; Kent, Alexander; Hash, Jr, Curtis Lee

Non-harmful insertion of data mimicking computer network attacks

Patent · 21 June 2016

OSTI ID:1257984

Neil, Joshua Charles; Kent, Alexander; Hash, Jr, Curtis Lee

Non-harmful data mimicking computer network attacks may be inserted in a computer network. Anomalous real network connections may be generated between a plurality of computing systems in the network. Data mimicking an attack may also be generated. The generated data may be transmitted between the plurality of computing systems using the real network connections and measured to determine whether an attack is detected.

Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC52-06NA25396

Assignee:: Los Alamos National Security, LLC (Los Alamos, NM)

Patent Number(s):: 9,374,380

Application Number:: 13/826,736

OSTI ID:: 1257984

Country of Publication:: United States

Language:: English

References (7)

Alert correlation in a cooperative intrusion detection framework Cuppens, F.; Miege, A. Proceedings 2002 IEEE Symposium on Security and Privacy https://doi.org/10.1109/SECPRI.2002.1004372	conference	January 2002
Probabilistic Alert Correlation Valdes, Alfonso; Skinner, Keith; Goos, Gerhard Recent Advances in Intrusion Detection, p. 54-68 https://doi.org/10.1007/3-540-45474-8_4	book	January 2001
Two-tier data-driven intrusion detection for automatic generation control in smart grid Ali, Muhammad Qasim; Yousefian, Reza; Al-Shaer, Ehab 2014 IEEE Conference on Communications and Network Security, p. 292-300 https://doi.org/10.1109/CNS.2014.6997497	conference	December 2014
A survey of coordinated attacks and collaborative intrusion detection Zhou, Chenfeng Vincent; Leckie, Christopher; Karunasekera, Shanika Computers & Security, Vol. 29, Issue 1, p. 124-140 https://doi.org/10.1016/j.cose.2009.06.008	journal	February 2010
Identifying botnets by capturing group activities in DNS traffic Choi, Hyunsang; Lee, Heejo Computer Networks, Vol. 56, Issue 1, p. 20-33 https://doi.org/10.1016/j.comnet.2011.07.018	journal	January 2012
The link-prediction problem for social networks Liben-Nowell, David; Kleinberg, Jon Journal of the American Society for Information Science and Technology, Vol. 58, Issue 7, p. 1019-1031 https://doi.org/10.1002/asi.20591	journal	January 2007
Scan Statistics for the Online Detection of Locally Anomalous Subgraphs Neil, Joshua; Hash, Curtis; Brugh, Alexander Technometrics, Vol. 55, Issue 4, p. 403-414 https://doi.org/10.1080/00401706.2013.822830	journal	August 2013

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