diff --git a/README.md b/README.md index 413ebdd571..6656a210dc 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,9 @@ Slips v1.0.5 # Slips: Behavioral Machine Learning-Based Intrusion Prevention System -Slips is a behavioral intrusion prevention system that uses machine learning to detect malicious behaviors in network traffic. Slips focus on targeted attacks, detection of command and control channels, and providing a good visualization for the analyst. It can analyze network traffic in real-time, network captures such as pcap files, and network flows produced by Suricata, Zeek/Bro, and Argus. Slips processes the input data, analyzes it, and highlights suspicious behavior that needs the analyst's attention. +Slips is a powerful behavioral intrusion prevention system that utilizes machine learning to detect malicious behaviors in network traffic. With a strong emphasis on targeted attacks and command and control channels, Slips offers the flexibility to analyze network traffic in real-time, pcap files, and network flows from popular tools like Suricata, Zeek/Bro, and Argus. + +Running Slips becomes effortless through Docker. Linux systems can seamlessly leverage the Slips docker image for real-time traffic analysis. Detailed documentation is available to guide users through the usage instructions, ensuring effective utilization of Slips' advanced features.