Sökning: id:"swepub:oai:DiVA.org:miun-43062" >
Artificial Neural N...
Artificial Neural Network-Based Stealth Attack on Battery Energy Storage Systems
-
Pasetti, M. (författare)
-
Ferrari, P. (författare)
-
Bellagente, P. (författare)
-
visa fler...
-
Sisinni, Emiliano (författare)
-
de Sa, A. O. (författare)
-
do Prado, C. B. (författare)
-
David, R. P. (författare)
-
Machado, R. C. S. (författare)
-
visa färre...
- Institute of Electrical and Electronics Engineers Inc. 2021
- 2021
- Engelska.
-
Ingår i: IEEE Transactions on Smart Grid. - : Institute of Electrical and Electronics Engineers Inc.. - 1949-3053 .- 1949-3061.
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- As the number of installed Battery Energy Storage Systems (BESSs) increases, the concerns related to possible cyberattacks to these systems rise accordingly. The most of BESS owners knows their systems may be vulnerable, but they often consider only denial of service attacks in their risk assessment. Unfortunately, other, subtler and more dangerous attacks exist. In this paper we show that a stealth attack to BESSs can be performed by applying a Man-in-the-Middle (MitM) approach. The aim of the attack is to stealthily manage the physical system by hiding the actual behavior of the system to its supervisory controller. In this case the attacker would be able to: (i) degrade the BESS by reducing its expected lifetime, (ii) produce economic losses for the prosumer, and (iii) affect the security and stability of the grid. The feasibility of the attack is demonstrated by providing an example of a stealth MitM attack on a real BESS coupled with a photovoltaic power plant. The proposed case study demonstrates that such attack can be performed without being discovered by end-users and shows that its effects can be severe. Finally, possible strategies to avoid or detect such kind of attack are discussed. IEEE
Nyckelord
- Batteries
- Battery Energy Storage System (BESS)
- Cyber-Physical BESS Modelling.
- Cyber-Security
- Inverters
- Man-in-the-Middle (MitM)
- Power conversion
- Power system stability
- Security
- State of charge
- Stealth Attack
- Systems architecture
- Data storage equipment
- Denial-of-service attack
- Electric batteries
- Losses
- Network security
- Neural networks
- Photovoltaic cells
- Risk assessment
- Solar power plants
- Battery energy storage systems
- Expected lifetime
- Man in the middles (MITM)
- Photovoltaic power plant
- Physical systems
- Security and stability
- Stealth attacks
- Supervisory controllers
- Battery storage
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas