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Více informací o knize Simulation and Detection of Self-Propagating Worms and Viruses

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science

• Plný název: Simulation and Detection of Self-Propagating Worms and Viruses
• Autor: Ajay Gupta
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 108
• EAN: 9783639028300
• ISBN: 3639028309
• ID: 06812574
• Nakladatelství: VDM Verlag
• Hmotnost: 154 g
• Rozměry: 229 × 152 × 6 mm
• Datum vydání: 19. November 2008

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