***** To join INSNA, visit http://www.sfu.ca/~insna/ *****
See -
Li-Chiou Chen and Kathleen M. Carley, forthcoming, “The Impact of Social
Networks in the Propagation of Computer Viruses and Countermeasures.”
IEEE Trasactions on Systems, Man and Cybernetics
also see Li-Chiou's thesis at CMU dept of engineering and public policy
김 세권 wrote:
> ***** To join INSNA, visit http://www.sfu.ca/~insna/ *****
>
> Dear list members.
>
> Are there any researches or example about how to apply "social network
> analysis" to analyze & predict computer intrusion ([virus] or [traffic
> anomaly because of DoS] or [port scanning]) spread pattern?
>
> In fact, situation is like this :
>
> 1. In flow networks, node = computer, link = virtual network link
> (through what packet travels).
> 2. There are many measures for each node ,for example, in/out bandwidth,
> port usage, intrusion state, etc.
> 3. There are many measures for each link, for example, RTT (round-trip
> time), traffic (per port), intrusion state, frequency that link is
> used in
> routing, etc.
> 4. 2, 3's data is current, and we can accumulate these measures to some
> extent.
>
>
> And problem is this :
>
> 1. How fast do [intrusion] or [network traffic jam] spread over network?
> Where is the pattern of spread of intrusion?
> 2. How can we predict speed & direction (intrusion spread-path) &
> pattern of spread of intrusion?
>
>
> My current possible approaches are [Markov Chain Modeling] and
> [Friedkin's
> Influence Modeling].
> We can simulate network's dynamics using two modeling. (But these are not
> formal. I have only dim thought. How can I elaborate this dim thought?)
>
> Are there any advices (about my current approach & another approach)?
> I'm waiting your good insights. Thank you for any reply.
>
> Best regards. -
> Se Kwon, Kim
>
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