Datasets of RT spoofing attacks on MIL-STD-1553 communication traffic.

ABSTRACT: The datasets in this article are produced to evaluate the ability of MIL-STD-1553 intrusion detection systems to detect attacks that emulate normal non-periodical messages, at differing attack occurrence rates. And different data representations. We present three streams of simulated MIL-STD-1553 traffic containing both normal and attack messages corresponding to packets that were injected into the bus by a malicious remote terminal. The implemented attacks emulate normal non-periodical communication so detecting them with a low false positive rate is non-trivial. Each stream is separated into a training set of normal messages and a test set of both normal and attack messages. The test sets differ by the occurrence rate of attack messages (0.01%, 0.10%, and 1.00%). Each stream is also prep

SUBMITTER: Yahalom R 

PROVIDER: S-EPMC6660615 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature