The statistical tool, first known as the hidden semi-Makov model (HsMM), was initially published in 1966 and has now been brought into light by R. Anitha and colleagues at
The botnet, or a network of computers infected with malware-so-called zombies allow a third party to take control of those machines and a hidden-Markov model includes variables of which the observer has no sight but can infer and so predict an outcome and involves a process where the time-elapsed into the current state affects the prediction.
The researchers applied the statistical logic of the hidden semi-Markov model to forecast the characteristics of internet activity on a given computer suspected of being a "zombie computer" in a botnet based on management information base (MIB) variables.
The approach demonstrated by researchers could model the "normal" behavior and then highlight botnet activity as being a deviation from the normal without the specific variables that are altered by the malware being in plain sight.
If implemented widely, such a system could lock down this kind of botnet very quickly and slow the assimilation of zombie computers by criminals and others with malicious intent. (ANI)
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