G
Gil Raanan
Publications - 10
Citations - 1070
Gil Raanan is an academic researcher. The author has contributed to research in topics: Set (abstract data type) & Data processing system. The author has an hindex of 7, co-authored 10 publications receiving 1070 citations.
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Patent
System for determining web application vulnerabilities
TL;DR: In this article, a method for detecting security vulnerabilities in a web application includes analyzing the client requests and server responses resulting therefrom in order to discover pre-defined elements of the application's interface with external clients and the attributes of these elements.
Patent
Method and system for protecting operations of trusted internal networks
TL;DR: In this paper, the authors present a security gateway system between an external, untrusted computing environment and an internal, trusted computing environment that converts mesages received from the external environment into simplified messages and converts the simplified messages into messages suitable for use on the internal environment.
Patent
Method and system for maintaining restricted operating environments for application programs or operating systems
TL;DR: In this paper, a method for protecting an operating environment on a processor from a rogue program operating on the processor comprising isolating simultaneously executing programs or operating systems is disclosed, where the first program and the computer's operating environment are communicated through a single link employing one of several methods including using shared memory space, a dedicated interrupt or a dedicated I/O port.
Patent
Method and system for extracting application protocol characteristics
TL;DR: In this article, the authors present a method and computer program for automatically and continually extracting application protocols (i.e., defining a set of allowable or authorized actions) for any application.
Patent
Method and system for discriminating a human action from a computerized action
TL;DR: In this article, a method and system are disclosed for discriminating automatic computerized action from a human performed action based on applying human advantage in applying sensory and cognitive skills to solving simple problems that prove to be extremely hard for computer software.