Search Results for "gnu science" - Page 12
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Showing 291 open source projects for "gnu science"
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preplay is intended to be a general user-space tool for packet replaying and packet modification on Linux. It is in the early development stage.
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A suite of reverse engineering tools for ELF executables and any operating system that supports it, including numerous gdb patches.
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A similar to Tripwire, file system integrity checking tool but develop in java and cross platform. This tools checking and source control using check sum algorithm like MD5, SHA and CRC.
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This is a non-causal non-linear encryption system that cannot be cracked by the von-neuman architectures available today
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The purpose of this project is to develop and maintain a Virtual Reality network interface to provide for network management and security for heterogenous networks of all types. This interface will allow you to monitor and actively scan your network.
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Raksha is an open source platform for hardware dynamic information flow tracking (DIFT). The project encompasses a full open source SPARC V8 CPU for use on an FPGA, a modified Linux 2.6 kernel, and Gentoo.
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An implementation of a Non-Interactive Zero knowledge Proof system to be used in a voting simulation software, as part of our BCS project.
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This is project should implement different biometrics algorithms for fingerprint and face recognition.
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Tool for performing special mathematic operations needed for cryptography on your mobile. Useful for cryptography-lectures.
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Kerbproto will add user tracking and one-time-password feature in existing MIT kerberos implementation.
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This project is intended for generating a series of patches for the current version of QEMU to counter anti-detection and anti-debugging technics.
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Keylogger Hooks is a project designed to teach the implementation of keyloggers using hooks on Windows machines. Associated blog located at http://www.progproj.net.
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CSI PC2 is a project for verification and identification of biometrical information that scales up to tens of millions of entries. Several algorithms are implemented. It includes testbeds, benchmarks and genetic algorithms for optimization.
