Biblio

Filters: Author is Schiavone, Enrico  [Clear All Filters]
2022-02-25
Itria, Massimiliano Leone, Schiavone, Enrico, Nostro, Nicola.  2021.  Towards anomaly detection in smart grids by combining Complex Events Processing and SNMP objects. 2021 IEEE International Conference on Cyber Security and Resilience (CSR). :212—217.
This paper describes the architecture and the fundamental methodology of an anomaly detector, which by continuously monitoring Simple Network Management Protocol data and by processing it as complex-events, is able to timely recognize patterns of faults and relevant cyber-attacks. This solution has been applied in the context of smart grids, and in particular as part of a security and resilience component of the Information and Communication Technologies (ICT) Gateway, a middleware-based architecture that correlates and fuses measurement data from different sources (e.g., Inverters, Smart Meters) to provide control coordination and to enable grid observability applications. The detector has been evaluated through experiments, where we selected some representative anomalies that can occur on the ICT side of the energy distribution infrastructure: non-malicious faults (indicated by patterns in the system resources usage), as well as effects of typical cyber-attacks directed to the smart grid infrastructure. The results show that the detection is promisingly fast and efficient.
2020-06-01
Laranjeiro, Nuno, Gomez, Camilo, Schiavone, Enrico, Montecchi, Leonardo, Carvalho, Manoel J. M., Lollini, Paolo, Micskei, Zoltán.  2019.  Addressing Verification and Validation Challenges in Future Cyber-Physical Systems. 2019 9th Latin-American Symposium on Dependable Computing (LADC). :1–2.
Cyber-physical systems are characterized by strong interactions between their physical and computation parts. The increasing complexity of such systems, now used in numerous application domains (e.g., aeronautics, healthcare), in conjunction with hard to predict surrounding environments or the use of non-traditional middleware and with the presence of non-deterministic or non-explainable software outputs, tend to make traditional Verification and Validation (V&V) techniques ineffective. This paper presents the H2020 ADVANCE project, which aims precisely at addressing the Verification and Validation challenges that the next-generation of cyber-physical systems bring, by exploring techniques, methods and tools for achieving the technical objective of improving the overall efficiency and effectiveness of the V&V process. From a strategic perspective, the goal of the project is to create an international network of expertise on the topic of V&V of cyber-physical systems.