7 projects for "python ids" with 2 filters applied:

  • Keep company data safe with Chrome Enterprise Icon
    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
    Download Chrome
  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
    Start Free
  • 1
    DeepCluster

    DeepCluster

    Deep Clustering for Unsupervised Learning of Visual Features

    DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    ospfdiscoverysnmp

    ospfdiscoverysnmp

    OSPF network discovery script via SNMP.

    ...After providing necessary info and the OSPF info is gathered, the user has three choices: display the OSPF routers info on the screen, export the data to a file for Excel importing and generate the OSPF topology showing neighborships, router IDs and neighbor IPs. Tools used for coding and testing: Python 2.7.3, PySNMP, GNS3, Linux. Tested on Cisco 2621, 2691, 3660.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    DogoIDS

    DogoIDS

    Active-probing-based network IDS for wireless networks

    DogoIDS is an open-source active-probing-based network intrusion detection system (AP-NIDS) for wireless multihop networks (MANETs, Wireless Mesh Networks, Sensor Networks, etc). At this stage, DogoIDS only support the IEEE 802.11s standard for Wireless Mesh Networks. DogoIDS is now under construction in a very early stage and mainly for research purposes. However, we aim to release a stable version ready for production soon. *** IMPORTANT *** We uploaded the very first experimental...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 4
    PyIDS is an intrusion detection system whose aim is to provide concise information to administrators about some parts of the system i.e filesystem checksums, unknown connections to the machine, access control lists of special files, log revision...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Level Up Your Cyber Defense with External Threat Management Icon
    Level Up Your Cyber Defense with External Threat Management

    See every risk before it hits. From exposed data to dark web chatter. All in one unified view.

    Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
    Try for Free
  • 5
    STAT is a framework for building modular, stateful signature-based intrusion detection systems. STAT provides a means to develop sensors which operate in different domains and environments.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Snort IDS library for Python
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    This toolkit will provide seemless backend support for multiple Firewall and IDS systems deployment. The initial release will only support Snort and FreeBSD\\\'s ipfw, but future releases will expand the firewall selection. The main code is Python,
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next