A novel key management protocol for vehicular cloud security

Abstract

Vehicular cloud computing (VCC) is a new hybrid technology which has become an outstanding area of research. VCC combines salient features of cloud computing and wireless communication technology to help drivers in network connectivity, storage space availability and applications. VCC is formed by dynamic cloud formation by moving vehicles. Security plays an important role in VCC communication. Key management is one of the important tasks for security of VCC. This paper proposes a novel key management protocol for VCC security. Proposed scheme is based on Elliptical Curve Cryptography (ECC).The simulation results demonstrated that the proposed protocol is efficient compared to existing key management algorithms in terms of key generation time, memory usage and cpu utilization.

A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications

“…The most common cybersecurity technique is to use cryptographic algorithms to generate a continuous stream of private/public key pairs for the dynamically changing vehicular environment. In [78], the authors present a novel key management protocol for securing cloud-supported CV applications. The scheme presented in [78] uses the ECC.…”

“…In [78], the authors present a novel key management protocol for securing cloud-supported CV applications. The scheme presented in [78] uses the ECC. The certification authority (CA) generates an individual unique key pair for each registered CV, which is securely stored at the CA repository using key wrapping constructors/hash functions.…”

“…The CA uses a global revocation approach based on the Public Key Infrastructure Certificate Revocation List (PKI CRL) to delete keys and certificates of malicious vehicles. The authors in [78] compared the computation time to evaluate the security system's performance, and the analysis shows the group key computation time is 14 ms for keys of 512 bits, whereas it can be up to 160 ms while using any existing base model. Machine learning methods have been used to monitor the raw network data stream and detect intrusions within the network.…”

“…• Elliptical Curve Cryptography (ECC) [78] • Public Key Infrastructure Certificate Revocation List (PKI CRL) [78] • Machine learning [79], [80] • Blockchain [81], [82] • Software-Defined Networking (SDN) [82] Develop Infrastructure as Code to secure network, and quantum machine methods to create unbreakable cryptographic solutions to secure the communication Securing heterogenous networks and nodes (i.e., CVs)…”

Development of vocabulary learning application by using machine learning technique

“…The most common method for mobile application development using image processing machine learning technique is Mobile Cloud Computing (MCC). MCC is combination of mobiles and cloud computing which can simply processing from the user loca l devices to the data centre facilities over the internet [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. The major service providers of MCC are including Google, Amazon, Microsoft and Yahoo.…”