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Yevgeny Korsunsky

Researcher at Blue Coat Systems

Publications -  11
Citations -  1633

Yevgeny Korsunsky is an academic researcher from Blue Coat Systems. The author has contributed to research in topics: CPU time & Information processor. The author has an hindex of 4, co-authored 11 publications receiving 1633 citations. Previous affiliations of Yevgeny Korsunsky include CA Technologies.

Papers
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Patent

Systems and methods for processing data flows

TL;DR: In this article, a flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps.
Patent

Database security via data flow processing

TL;DR: In this paper, an apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and service to received data according to respective subscriber profiles.
Patent

Securing a network with data flow processing

TL;DR: In this paper, an apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and service to received data according to respective subscriber profiles.
Patent

Flow scheduling for network application apparatus

TL;DR: In this paper, a flow scheduling vector related to the identified applications processor(s) is computed for the different applications processor groups, where applications processors can be understood to belong to a group, wherein applications processors within a group can be configured identically.
Patent

Flow scheduling and architecture for network application apparatus

TL;DR: In this article, a method and system for distributing flows between a multiple processors is presented, where flows can be received from an external source such as a network, by a front-end processor that recognizes the flow and the associated request, and identifies at least one internal applicatiolns processor to process the request/flow.