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Simulation and Detection of Self-Propagating Worms and Viruses

Langue AnglaisAnglais
Livre Livre de poche
Livre Simulation and Detection of Self-Propagating Worms and Viruses Ajay Gupta
Code Libristo: 06812574
Éditeurs VDM Verlag, novembre 2008
Large-scale attacks generated by fast spreading §worms and viruses have emerged as a major threat to... Description détaillée
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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. 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.

À propos du livre

Nom complet Simulation and Detection of Self-Propagating Worms and Viruses
Auteur Ajay Gupta
Langue Anglais
Reliure Livre - Livre de poche
Date de parution 2008
Nombre de pages 108
EAN 9783639028300
ISBN 3639028309
Code Libristo 06812574
Éditeurs VDM Verlag
Poids 154
Dimensions 152 x 229 x 6
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