TY - GEN
T1 - Computational intelligence algorithms analysis for smart grid cyber security
AU - Wang, Yong
AU - Ruan, Da
AU - Xu, Jianping
AU - Wen, Mi
AU - Deng, Liwen
A2 - Wagemans, Jan
N1 - Score = 3
PY - 2010/6
Y1 - 2010/6
N2 - The cyber attack risks are threatening the smart grid security. Malicious worm could spread from meter to meter to take out power in a simulated attack. The North American Electric Reliability Corporation (NERC) has thus developed several iterations of cyber security standards. According to the NERC cyber standards CIP-002-2 requirements, in this paper, we present cyber security risk analysis using computational intelligence methods and review on core methods, such as in risk assessment HHM, IIM, RFRM algorithms, fault analysis FTA, ETA, FMEA, FMECA algorithms, fuzzy sets, intrusion detection systems, artificial neural networks and artificial immune systems. Through the analysis of the core computational intelligence algorithms used in the smart grid cyber security in power system network security lab, we clearly defined existing smart grid research challenges.
AB - The cyber attack risks are threatening the smart grid security. Malicious worm could spread from meter to meter to take out power in a simulated attack. The North American Electric Reliability Corporation (NERC) has thus developed several iterations of cyber security standards. According to the NERC cyber standards CIP-002-2 requirements, in this paper, we present cyber security risk analysis using computational intelligence methods and review on core methods, such as in risk assessment HHM, IIM, RFRM algorithms, fault analysis FTA, ETA, FMEA, FMECA algorithms, fuzzy sets, intrusion detection systems, artificial neural networks and artificial immune systems. Through the analysis of the core computational intelligence algorithms used in the smart grid cyber security in power system network security lab, we clearly defined existing smart grid research challenges.
KW - Smart Grid
KW - Cyber Security
KW - Computational Intelligence
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_106559
UR - http://knowledgecentre.sckcen.be/so2/bibref/7047
M3 - In-proceedings paper
SN - 978-3-642-13494-4
VL - 2
T3 - Lecture Notes in Computer Sciences (LNCS)
SP - 77
EP - 84
BT - Advances in Swarm Intelligence
CY - Heidelberg, Germany
T2 - First International Conference in Swarm Intelligence
Y2 - 12 June 2010 through 15 June 2010
ER -