TY - JOUR
T1 - Cybersecurity Measures for Geocasting in Vehicular Cyber Physical System Environments
AU - Kumar, Sushil
AU - Dohare, Upasana
AU - Kumar, Kirshna
AU - Prasad Dora, Durga
AU - Naseer Qureshi, Kashif
AU - Kharel, Rupak
N1 - Funding Information:
Manuscript received August 1, 2018; revised September 9, 2018; accepted September 16, 2018. Date of publication September 27, 2018; date of current version July 31, 2019. This research was supported by the School of Engineering, Manchester Metropolitan University. (Corresponding author: Rupak Kharel.) S. Kumar, U. Dohare, and K. Kumar are with the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2014 IEEE.
PY - 2019/8/1
Y1 - 2019/8/1
N2 - Geocasting in vehicular communication has witnessed significant attention due to the benefits of location oriented information dissemination in vehicular traffic environments. Various measures have been applied to enhance geocasting performance including dynamic relay area selection, junction nodes incorporation, caching integration, and geospatial distribution of nodes. However, the literature lacks toward geocasting under malicious relay vehicles leading to cybersecurity concern in vehicular traffic environments. In this context, this paper presents cybersecurity measures for geocasting in vehicular traffic environments focusing on security oriented vehicular connectivity. Specifically, a vehicular intrusion prevention technique is developed to measure the connectivity between the cache agent (CA) and cache user (CU) vehicles. The connectivity between static transport vehicles and CA/CU is measured via vehicular intrusion detection approach. The performance of the proposed vehicular cybersecurity measure is evaluated in realistic traffic environments. The comparative performance evaluation attests the benefits of security oriented geocasting in vehicular traffic environments.
AB - Geocasting in vehicular communication has witnessed significant attention due to the benefits of location oriented information dissemination in vehicular traffic environments. Various measures have been applied to enhance geocasting performance including dynamic relay area selection, junction nodes incorporation, caching integration, and geospatial distribution of nodes. However, the literature lacks toward geocasting under malicious relay vehicles leading to cybersecurity concern in vehicular traffic environments. In this context, this paper presents cybersecurity measures for geocasting in vehicular traffic environments focusing on security oriented vehicular connectivity. Specifically, a vehicular intrusion prevention technique is developed to measure the connectivity between the cache agent (CA) and cache user (CU) vehicles. The connectivity between static transport vehicles and CA/CU is measured via vehicular intrusion detection approach. The performance of the proposed vehicular cybersecurity measure is evaluated in realistic traffic environments. The comparative performance evaluation attests the benefits of security oriented geocasting in vehicular traffic environments.
KW - Caching
KW - geocasting
KW - vehicle cybersecurity
KW - vehicular ad-hoc networks
UR - http://www.scopus.com/inward/record.url?scp=85054199627&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2018.2872474
DO - 10.1109/JIOT.2018.2872474
M3 - Article
AN - SCOPUS:85054199627
VL - 6
SP - 5916
EP - 5926
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
SN - 2327-4662
IS - 4
M1 - 8474336
ER -