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Books > Computing & IT > General theory of computing
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Simulation and Detection of Self-Propagating Worms and Viruses (Paperback)
Loot Price: R1,219
Discovery Miles 12 190
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Simulation and Detection of Self-Propagating Worms and Viruses (Paperback)
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Large-scale attacks generated by fast spreading worms and viruses
have emerged as a major threat to the Internet. These worms are
capable of infecting and crippling substantial portions of the
Internet as well as the enterprise networks of large public and
private agencies in a very short time. This dissertation work
studies the behavior of such viruses and examines the problem of
their detection and containment. It develops a simulation testbed
to study the propagation and threat potentials of self- propagating
viruses. Using the testbed, a new approach is developed for
detecting self-propagating worms/viruses based on statistical
anomaly detection. The approach assumes that a key characteristic
of a worm/virus attack is an increase in application based network
traffic, which will eventually overwhelm servers and clients. The
effectiveness of the detection approach has been tested for email
based viruses in an intranet setting. The report concludes with
results of experiments using a novel approach for cleaning up virus
infections, based on the model of "predators" in an ecosystem.
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