Anomaly Detection Brendan Juba Washington University / Martin Rinard Massachusetts Institute of Technology / Indiana University’s Bloomington campus / Indiana University / PageRank Building / Harvard University / /
IndustryTerm
detection systems / web-data based anomaly detectors / power-law distributions / computer security systems / public Internet / empirical power law distribution / actual web / walk algorithm / Internet data / deployed anomaly detection systems / sampling algorithm / search result / security systems / above algorithm / distributed crawler infrastructure / web interface / benchmark applications / web-data anomaly detectors / anomaly detection systems / system based on this algorithm / random walk algorithm / sample applications / above sampling algorithm / proposed sampling algorithm / basic web crawling procedure / search queries / typical Internet user / security tools / Internet interface / distribution and accompanying sampling algorithm / download malicious software / web data / search results / /
MarketIndex
URL / /
Organization
Washington University in St. Louis / Institutional Review Board / Harvard University / Bloomington office of Human Research Protections / ISBN / Massachusetts Institute of Technology / Indiana University / Internet Society / /
Person
Alexa Ranking / Brendan Juba / Ai / Christopher Musco / Martin Rinard / Stelios Sidiroglou-Douskos / /
Principled Sampling for Anomaly Detection Brendan Juba Washington University in St. Louis Abstract—Anomaly detection plays an important role in protecting computer systems from unforeseen attack b