TY - JOUR
T1 - SSDS
T2 - A smart software-defined security mechanism for vehicle-to-grid using transfer learning
AU - Wang, Shen
AU - Wu, Jun
AU - Zhang, Shanghua
AU - Wang, Kuan
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2018/9/17
Y1 - 2018/9/17
N2 - Nowadays, vehicle-to-grid (V2G) is a very important component for smart cities, which provide a novel energy storage and scheduling approach. However, security threats currently disturb the normal operations of V2G. There are two challenges for the security of V2G. On one hand, existing security schemes for V2G just consider the static security strategy, which cannot deal well with the problem of high dynamics and advanced persistent threat in V2G. On the other hand, existing V2G lacks a unified information modeling approach, which results in the difficulties of security and communications. To address above challenges, this paper proposes a smart software-defined security mechanism, SSDS, for V2G using transfer learning and IEC 61850 standards. First, as next generation networking technology, software-defined networking (SDN) is adopted to establish a dynamic security protection architecture for V2G, which can provide dynamic security strategy configuration capability. Second, IEC 61850 is introduced to model SSDS, including SDN controller and OpenFlow switch. Third, transfer learning-based security strategy constructing scheme is proposed for the security strategy updating dynamically. Simulation results in terms of network performance and security strategy constructing verify the efficiency as well as feasibility of the proposed security mechanism.
AB - Nowadays, vehicle-to-grid (V2G) is a very important component for smart cities, which provide a novel energy storage and scheduling approach. However, security threats currently disturb the normal operations of V2G. There are two challenges for the security of V2G. On one hand, existing security schemes for V2G just consider the static security strategy, which cannot deal well with the problem of high dynamics and advanced persistent threat in V2G. On the other hand, existing V2G lacks a unified information modeling approach, which results in the difficulties of security and communications. To address above challenges, this paper proposes a smart software-defined security mechanism, SSDS, for V2G using transfer learning and IEC 61850 standards. First, as next generation networking technology, software-defined networking (SDN) is adopted to establish a dynamic security protection architecture for V2G, which can provide dynamic security strategy configuration capability. Second, IEC 61850 is introduced to model SSDS, including SDN controller and OpenFlow switch. Third, transfer learning-based security strategy constructing scheme is proposed for the security strategy updating dynamically. Simulation results in terms of network performance and security strategy constructing verify the efficiency as well as feasibility of the proposed security mechanism.
KW - Machine learning
KW - Security
KW - Software architecture
KW - Vehicles
UR - http://www.scopus.com/inward/record.url?scp=85053610468&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053610468&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2870955
DO - 10.1109/ACCESS.2018.2870955
M3 - Article
AN - SCOPUS:85053610468
SN - 2169-3536
VL - 6
SP - 63967
EP - 63975
JO - IEEE Access
JF - IEEE Access
M1 - 8467301
ER -