Intrusion Detection System (IDS) for Real-Time applications
keywords AUTHENTICATION, AUTOMOTIVE, IDS, MALWARE, MALWARE DETECTION, REAL TIME, SAFETY, SECURITY
Reference persons STEFANO DI CARLO, ALESSANDRO SAVINO
External reference persons OBERTI FRANCO
Research Groups DAUIN - GR-24 - SMILIES - reSilient coMputer archItectures and LIfE Sci
Thesis type APPLIED, APPLIED RESEARCH, EXPERIMENTAL RESEARCH, HARDWARE DESIGN
Description Real-Time Operating Systems, in the embedded, manage several system functionalities, such as interrupts, memory management and exceptions, further correctly running the program. In safety-critical applications such as Automotive, Space domains are essential to keep the deadline. Even for a single task, losing real-time might cause a safety hazard. The missing real-time deadline can lead to several reasons, like code execution errors, cyber-attacks, etc. The key to making the system resilient to those events, beyond minimizing the occurrences, is a very efficient detection strategy that works quickly.
The work will focus on analyzing and proposing an Intrusion Detection System (IDS) integrated into the real-time operating system that exploits Hardware Performance Counters (HPC). The system shall detect both system malfunctions with safety impacts and potentially malicious software running in real-time to improve the resiliency of the systems.
Notes In collaboration with PUNCH Softronix
Deadline 15/12/2023 PROPONI LA TUA CANDIDATURA