nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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I2P is an anonymizing network, offering a simple layer that identity-sensitive applications can use to securely communicate. All data is wrapped with several layers of encryption, and the network is both distributed and dynamic, with no trusted parties. This is the source code release version.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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AIEngine is a packet inspection engine with capabilities of learning without any human intervention. It helps network/security professionals to identify traffic and develop signatures for use them on NIDS, Firewalls, Traffic classifiers and so on.
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haveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
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Keystone is a lightweight multi-platform, multi-architecture assembler framework. Highlight features include multi-architecture, with support for Arm, Arm64 (AArch64/Armv8), Hexagon, Mips, PowerPC, Sparc, SystemZ, and X86 (include 16/32/64bit). It has a clean and lightweight architecture-neutral API. It's implemented in C/C++ languages, with bindings for Python, NodeJS, Ruby, Go and Rust available and also has native support for Windows and various Unix flavors.
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haveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
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PacketFence is a network access control (NAC) system. It is actively maintained and has been deployed in numerous large-scale institutions. It can be used to effectively secure networks, from small to very large heterogeneous networks. PacketFence provides NAC-oriented features such as registration of new network devices, detection of abnormal network activities including from remote snort sensors, isolation of problematic devices, remediation through a captive portal, and registration-based and scheduled vulnerability scans.
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haveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
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haveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
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haveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
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Firmware for the ChameleonMini RevE rebooted device. It compiles without errors or warnings and gives you more or less the same functionality as the stock firmware. This version compiles and gives you the same functionality (and more) as the original Chameleon Mini rebooted GUI.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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I2P is an anonymizing network, offering a simple layer that identity-sensitive applications can use to securely communicate. All data is wrapped with several layers of encryption, and the network is both distributed and dynamic, with no trusted parties. This is the source code release version.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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PacketFence is a network access control (NAC) system. It is actively maintained and has been deployed in numerous large-scale institutions. It can be used to effectively secure networks, from small to very large heterogeneous networks. PacketFence provides NAC-oriented features such as registration of new network devices, detection of abnormal network activities including from remote snort sensors, isolation of problematic devices, remediation through a captive portal, and registration-based and scheduled vulnerability scans.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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PacketFence is a network access control (NAC) system. It is actively maintained and has been deployed in numerous large-scale institutions. It can be used to effectively secure networks, from small to very large heterogeneous networks. PacketFence provides NAC-oriented features such as registration of new network devices, detection of abnormal network activities including from remote snort sensors, isolation of problematic devices, remediation through a captive portal, and registration-based and scheduled vulnerability scans.
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nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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