A Privacy-Preserving Incentive Framework for the Vehicular Cloud

Alamer, Abdulrahman; Basudan, Sultan; Lin, Xiaodong

doi:10.1109/cybermatics_2018.2018.00098

Cited by 11 publications

(7 citation statements)

References 9 publications

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“…The TA-server generates a public key pki and private key ski for each registered user. In addition, it generates a pseudo identity pidi that is computed by a random salt number, as proposed in (Alamer et al , 2018), in order to protect the user's identity from a rainbow attack. Encryption. Any registered user i can generate a ciphertext αi using the receiver user j 's public key pkj.…”

Section: A Secure Tracing Mechanismmentioning

confidence: 99%

“…The certificate allows the public IoRT devices to check the validity of Ri's public key (pki). Generating (pseudonym identity). The TA-server generates a pseudonym identity for each Ri by selecting a random salt number ri∈Zq* (Alamer et al , 2018) and expired time of the pseudonym identity ti⊂Time. The TA-server then computes the pseudonym identity as pidi=H1true(Ridi||ritrue) and vi=pidi⊕H2true(sicerttrue)⊕ti.…”

Section: Proposed Sat Schemementioning

confidence: 99%

“…Generating (pseudonym identity). The TA-server generates a pseudonym identity for each Ri by selecting a random salt number ri∈Zq* (Alamer et al , 2018) and expired time of the pseudonym identity ti⊂Time. The TA-server then computes the pseudonym identity as pidi=H1true(Ridi||ritrue) and vi=pidi⊕H2true(sicerttrue)⊕ti.…”

Section: Proposed Sat Schemementioning

confidence: 99%

“…(1) A secure anonymous authentication (SAA) scheme, based on the elliptic curve cryptography technique (Aydos et al, 1998), is proposed. This scheme generates a pseudonym identity with a random salt number (Alamer et al, 2018) to achieve confidentiality, anonymity, integrity and mutual authentication among robot devices and fog nodes.…”

Section: Introductionmentioning

confidence: 99%

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A secure anonymous tracing fog-assisted method for the Internet of Robotic Things

Alamer

2020

LHT

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PurposeEmploying a fog computing (FC) network system in the robotic network system is an effective solution to support robotic application issues. The interconnection between robotic devices through an FC network can be referred as the Internet of Robotic Things (IoRT). Although the FC network system can provide number of services closer to IoRT devices, it still faces significant challenges including real-time tracing services and a secure tracing services. Therefore, this paper aims to provide a tracking mobile robot devices in a secure and private manner, with high efficiency performance, is considered essential to ensuring the success of IoRT network applications.Design/methodology/approachThis paper proposes a secure anonymous tracing (SAT) method to support the tracing of IoRT devices through a FC network system based on the Counting Bloom filter (CBF) and elliptic curve cryptography techniques. With the proposed SAT mechanism, a fog node can trace a particular robot device in a secure manner, which means that the fog node can provide a service to a particular robot device without revealing any private data such as the device's identity or location.FindingsAnalysis shows that the SAT mechanism is both efficient and resilient against tracing attacks. Simulation results are provided to show that the proposed mechanism is beneficial to support IoRT applications over an FC network system.Originality/valueThis paper represents a SAT method based on CBF and elliptic curve cryptography techniques as an efficient mechanism that is resilient against tracing attacks.

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Section: A Secure Tracing Mechanismmentioning

confidence: 99%

Section: Proposed Sat Schemementioning

confidence: 99%

Section: Proposed Sat Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A secure anonymous tracing fog-assisted method for the Internet of Robotic Things

Alamer

2020

LHT

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“…In addition, a VANET technology offers the drivers and passengers services such as Internet access, location-based services, and entertainment content [4]- [7]. Nevertheless, the main goal of VANET is to improve transportation by preventing and mitigating road traffic and accident [8]- [15].…”

Section: Introductionmentioning

confidence: 99%

Security and Privacy Schemes in Vehicular Ad-Hoc Network With Identity-Based Cryptography Approach: A Survey

Al-Shareeda

Anbar²,

Manickam

et al. 2021

IEEE Access

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Vehicular Ad hoc Networks (VANET) broadcast messages regarding road and environmental conditions. Due to its design, VANET inadvertently introduced security and privacy issues. Many researchers have suggested various approaches to address these shortcomings as the deployment of VANET becomes more widespread. Nevertheless, these solutions could not address all the security and privacy shortcomings in VANET. Furthermore, the proposed approaches incur high costs in terms of computation due to the complexity involved in doing so sequentially. One of the significant approaches used in VANET security and privacy mitigation is identity-based schemes. This paper provides a comprehensive survey on VANETs and the entities involved, attack models, and an analysis of the security and privacy requirements for identity-based security and privacy schemes for VANETs.INDEX TERMS VANET, cyber-attack, bilinear pair, elliptic curve cryptography, identity-based cryptography.

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A Proxy Re-signcryption Scheme with Delegation Property

Alamer

2022

Proceedings of International Conference on Computing and Communication Networks

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A Privacy-Preserving Incentive Framework for the Vehicular Cloud

Cited by 11 publications

References 9 publications

A secure anonymous tracing fog-assisted method for the Internet of Robotic Things

A secure anonymous tracing fog-assisted method for the Internet of Robotic Things

Security and Privacy Schemes in Vehicular Ad-Hoc Network With Identity-Based Cryptography Approach: A Survey

A Proxy Re-signcryption Scheme with Delegation Property

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