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ICS Incident Response Automation Framework Python framework for executing automated incident response playbooks in ICS/SCADA environments. Supports network isolation, forensic preservation, logic restoration, and safety system interventions. Designed for defenders, researchers, and red team simulations in operational technology networks.
A centralized repository for technical and cybersecurity white papers published by MottaSec. Each folder contains a distinct white paper along with any relevant supporting materials, tools, or references. This repository serves as a knowledge base reflecting our expertise, research, and thought leadership across key areas of cybersecurity.
A hybrid AI model for predicting failures in water distribution systems using Adaptive Neuro-Fuzzy Inference System (ANFIS). The model integrates Genetic Algorithms (GA) and Ant Colony Optimization (ACO) to improve the accuracy of accident prediction.
Modular ICS/OT cybersecurity toolkit for Modbus/TCP, Siemens S7Comm, and DNP3. Generates JSON/HTML reports and executive dashboards from PCAPs and safe Modbus scans. Includes sample PCAPs and ModbusPal for testing.
Simulates incident handling in data centers using Python and SimPy. Analyze how staffing levels, shift timing, and triage rules affect SLA compliance, resolution time, and backlog size.