My name is Grigoriy Khoroshilov, and I've been studying at HSE University since 2022, specializing in Information Security.
I'm passionate about identifying vulnerabilities and developing countermeasures.
Additionally, I'm studying machine learning to address further tasks within the CAVISE project, of which I'm a participant.
- Building and maintaining secure development processes (SSDLC);
- Performing security audits and defining security requirements;
- Deploying and administering infrastructure using Docker-rootless;
- Implementing CI/CD pipelines with SAST, SCA, and SBOM integrations, including automated report uploads;
- Monitoring and managing security events with Wazuh;
- Developing decoders and rules for Wazuh;
- Investigating security incidents: analyzing malware, attack scripts, and writing reports;
- YARA rule writing and automating incident response.
CAVISE aims to enhance the accuracy of modeling and training connected and autonomous vehicles by developing an integrated simulation environment (based on Unreal Engine 4/5). It focuses on training through the integration and modification of existing high-precision simulation and training tools using deep reinforcement learning.
I. Doroshev, G. Khoroshilov and V. Stepanyants,
"Evaluation of Cooperative Perception Algorithms in Simulation Environments with Realistic Communication Models",
2024 International Russian Automation Conference (RusAutoCon), Sochi, Russian Federation, 2024, pp. 943–947.
DOI: 10.1109/RusAutoCon61949.2024.10694627
I. Dolgov, G. Khoroshilov and V. Stepanyants,
"CAVISE: Connected and Automated Vehicle Integrated Simulation Environment for Realistic … Modeling",
🔄 In progress — submission planned for ..., 2025
