Multiple Simultaneous Threat Detection in UNIX Environment
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چکیده
Although UNIX is considered a very stable and secure platform, the development of Intrusion Detection Systems (IDS) is essential as current and future generations of hackers are continuously attempting to undermine its integrity. The empirical experiment of multiple simultaneous threat detection system proved that use of hybrid data fusion model of Bayesian, Dempster Shafer and extended Dempster Shafer increased an average 20% threat detection rate. The false positive rate also went down by 51%. The use of Extended Dempster Shafer to combine probability mass of 4 intrusion detection (Multisensor) systems increased precision of threat detection by 36% whilst the initial probability mass of the Dempster Shafer of Multisensor was only 0.03.
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Generalized Evidential Processing in Multiple Simultaneous Threat Detection in UNIX
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