Published May 2018 | Version v1
Journal article

Uncovering cyber-threats to nuclear system sensing and observability

  • 1. Department of Mechanical Engineering and Materials Science, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA (United States)

Description

Cyber-physical systems are engineered systems that integrate physical processes and computational resources. But, by integrating cyber and physical worlds, the physical assets are vulnerable to cyber-attack. Two things are of importance for the security of cyber-physical assets: access to control inputs by the attacker, and the ability of an attacker to mask inputs. This combination of attacker control and masking measurements can allow an attacker to cause significant damage to a system while remaining undetected. By masking certain measurement signals, an attacker may affect the observability of the system and create a condition where part of the state space is unobservable, meaning that it is impossible to reconstruct those states. This is called an observability attack. This paper presents a technique for analyzing observability attacks. How an attacker can design an attack to maximize the impact on the unobservable states while minimizing the possibility of detection is discussed. Criteria for maintaining a stealthy attack are given, and a design method is provided. For a nuclear balance of plant system, combinations of sensor omissions are analyzed to find an observability attack with maximum impact and minimum detection. An appropriate attack input signal is created, an attack is simulated, and the system response is shown.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nucengdes.2018.02.028

Additional details

Identifiers

DOI
10.1016/j.nucengdes.2018.02.028;
PII
S0029549318301833;

Publishing Information

Journal Title
Nuclear Engineering and Design
Journal Volume
331
Journal Page Range
p. 204-210
ISSN
0029-5493
CODEN
NEDEAU

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50082129
Subject category
S42: ENGINEERING; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
CYBER ATTACKS; NUCLEAR POWER PLANTS; SECURITY; SIMULATION
Descriptors DEC
CRIME; NUCLEAR FACILITIES; POWER PLANTS; SABOTAGE; THERMAL POWER PLANTS

Optional Information

Notes
© 2018 Elsevier B.V. All rights reserved.