Aug 2026· International Conference on Circuit, Power and Computing Technologies· pp. 1471-1476· 0 citations· 20 references
Abstract
The vehicular ad-hoc network (VANET) provides a way for drivers or vehicles to communicate with each other in a more effective manner, however, there are still many issues with respect to different aspects of security, trust management, and delivering information reliably between two nodes. This study presents a way to facilitate Security in a VANET through a Trust-Aware, Block chain-Supported Information-Centric Networking (ICN) Framework. This Framework allows for more efficient dissemination of secure information in VANETs, making use of the requested/forwarding of Content In-Networks by Caching, which ideally would provide fast access to content and maintain availability and reduced latency for users within the network. A Trust Evaluation Module is employed to determine Node Behavior via the Packet-Forwarding Ratio of Nodes as well as the Validity of Packet-Content being forwarded. Blockchain Technology is used to hold Trust Records using PBFT Consensus, where records of malicious nodes identified. Lastly, Adaptive Trust Thresholds, Probabilistic Caching, and Malicious Content Filtering are utilized for Trust-Aware Forwarding and Caching mechanisms based upon calculated Trust Values with the intent to ensure the delivery of verified Data and to improve Network Performance. Simulation results show that the proposed method achieves a PDR of 98%, higher throughput, reduced delay, and lower packet loss compared to existing approaches, confirming its effectiveness in providing secure and reliable VANET communication under attack conditions.
Vehicle Ad Hoc Networks (VANETs) face critical challenges in trust management, privacy preservation, and scalability, particularly with the integration of 5G networks in Intelligent Transportation Systems (ITS). Traditional centralized trust models present single points of failure and privacy concerns that compromise network security and user anonymity. This paper presents a novel decentralized trust model leveraging blockchain technology, Interplanetary File System (IPFS) integration, and post-quantum cryptographic algorithms to address these limitations. Our proposed TrustChain-VANET framework implements advanced privacy-preserving encryption techniques including threshold and homomorphic encryption, geographical sharding for scalability, and edge-assisted consensus mechanisms. Performance evaluation demonstrates significant improvements: 40% reduction in authentication latency (90–120 ms vs. 150–300 ms), 90% malicious node detection rate (+15% improvement), 300% increase in transaction throughput (2000–2150 TPS), and 100% scalability enhancement supporting up to 5000 nodes. The system integrates seamlessly with 5G network slicing (URLLC, eMBB, mMTC) while maintaining quantum resistance through CRYSTALS-Dilithium, KYBER, and FALCON algorithms. Real-world deployment considerations including OBU computational constraints, standardization gaps, and energy efficiency are comprehensively analyzed. Results indicate that the proposed decentralized approach provides robust security, enhanced privacy, and improved scalability for next-generation vehicular networks, making it suitable for large-scale ITS deployment. The main contribution of this work is the development of a unified TrustChain-VA 48NET framework. The proposed framework integrates blockchain-based trust management, IPFS-assisted storage, 5G network slicing, Mobile Edge Computing (MEC), geographical sharding, and post-quantum cryptographic mechanisms within a single architecture for next-generation VANET environments. While these technologies have been investigated separately in previous studies, this work presents a consolidated framework that analyzes their interoperability, identifies integration challenges, and evaluates their combined impact on trust management, scalability, privacy preservation, and deployment feasibility in Intelligent Transportation Systems.
Rafe Alasem, Rasha Hasan, M. Mansour· World Electric Vehicle Journ...· 0 citations
This work demonstrates that a dynamic, reputation-based security layer can provide near-total protection against the modeled threats at negligible performance cost, offering a viable, highly effective solution for securing resource-constrained IoT deployments.
N. N. A., A. T, Bhuvaneswari M.· Discover Internet of Things· 0 citations
New computing environments such as the cloud, edge, and Internet of Things (IoT) introduce new challenges in trust management, security, and energy efficiency. Centralized trust management systems focus on a single point of failure, making them less transparent and more vulnerable to attack. This paper presents the first trust framework based on blockchain technology to support security and sustainability in distributed computing systems. The methodology presented in this paper combines distributed ledger technology, smart contracts, and a lightweight consensus mechanism to provide a transparent and computationally inexpensive way to trust evaluation. To evaluate trust dynamically at a given node, a multi-factor trust model is used that incorporates trust, security, behavioral factors, and energy efficiency. A distributed system with 100 nodes and 1000 transactions per node was used to evaluate the framework experimentally. Results indicated that the proposed system attained a trust score of 95%, and performed better than centralized (82%) and reputation-based (88%) models. The system also improved energy efficiency by 26.7% relative to baseline systems, indicating that the computing system can be integrated to enhance sustainability. The blockchain framework trust models provided security and energy savings in distributed systems. It also presented robust designs and useful computational environments. Future extensions of this work will focus on Artificial Intelligence (AI) based trust prediction and on determining hybrid blockchains for performance improvements.
Priyanka Singh, Sonam Dubey· 2026 4th International Confe...· 0 citations
The rapid development of the Internet of Things (IoT) has placed considerable pressure on both security and stability in heterogeneous, resource-constrained networks. In such dynamic environments, trust management is a central issue to determine which service providers can be trusted and to combat malicious activity. Although blockchain-based solutions have offered a means for decentralized, tamper-resistant trust management, most rely on classical cryptographic primitives, which are vulnerable to future quantum computing attacks. This study proposes a Quantum-Resistant Blockchain-Based Trust Management (QR-BCTM) framework in which Post-Quantum Cryptographic mechanisms, Permissioned Blockchain Platform, and Fog-assisted Trust Management architecture are combined and utilized in IoT networks. The framework introduces a quantum-aware trust computation model that combines behavioral trust, indirect recommendations, and a cryptographic assurance score quantifying each participant’s compliance with security requirements. Trust evidence is compressed to reduce blockchain storage and communication overhead, while the hierarchical fog-blockchain architecture offloads computationally intensive operations from resource-constrained IoT devices. The performance of the framework has been simulated in the presence of an adversary, including bad-mouthing, ballot-stuffing, on-off behavior, and identity attacks using a Sybil-type mechanism. Trust accuracy, false trust acceptance, communication overhead, and computation cost were measured, and a sensitivity analysis on the trust-weight parameters was performed. The simulation results suggest that QR-BCTM can enhance the accuracy of trust evaluation, mitigate the impact of malicious nodes, and remain scalable and efficient despite the existing cryptographic overhead. Post-quantum digital signatures and formal security analysis provide protection against quantum-era threats and attacks, while classical threats are mitigated through behavioral trust aggregation and recommendation filtering. In summary, QR-BCTM provides a scalable, simulation-validated and quantum-aware framework for trustworthy IoT network operation, offering practical guidelines for future deployment and prototyping.
M. A. Al-Khasawneh, D. Alsekait, K. Alkayid et al.· Scientific Reports· 0 citations
Cognitive Radio Networks (CRNs) are a new era of wireless communication systems that enable secondary users to access spectrum bands opportunistically when primary users are not using them. Although a CRN can provide high-quality service and enhance spectrum utilization, there are still some important urgent problems to be solved, such as insecure communication, malicious nodes participating in the network, and unreliable routing performance. However, none of the existing security and communication schemes can achieve trusted entity validation, shortest-path optimization, and communication reliability simultaneously in CRNs. To address these challenges, this paper presents the AI assisted Blockchain Decentralized Zero Trust Authentication (BDZTA) approach for secure communication in CRN. Initially, the proposed Trust-Energy Aware Transmission Node Assessment (TEATNA) method is employed to identify the reliable transmission nodes. Then, the Adaptive Graph Neural Network (AGNN) model is used to classify the optimal shortest communication path by capturing the dynamic topological structure among cognitive radio nodes. After optimal route selection, Quantum-Inspired Whale Optimization with Elliptic Curve Cryptography (QIWO-ECC) approach is utilised for key generation and lightweight data encryption. Subsequently, the BDZTA approach is used to enable secure, decentralized communication through continuous identity verification. Finally, the Proof of Authority Verification (PoAV) scheme is used to validate authorized communication entities and ensure secure participation in transactions. The integrated framework significantly improves secure communication, trusted routing, Packet Delivery Ratio (PDR), energy efficiency, end-to-end delay, and energy consumption. The results of the experimental analysis show that the proposed approach achieves the best performance among existing schemes, thereby providing strong, reliable, and intelligent communication in CRNs.
T. Sundar, A. Senthilkumar· International journal of com...· 0 citations
The high mobility and decentralized nature of Vehicular Ad Hoc Networks (VANETs) present significant security challenges. Specifically, detecting attacks and establishing secure, reliable routing protocols are major critical concerns in the vehicular environment. These attacks can significantly degrade network performance and hinder communication between vehicles. Insider attacks, such as Blackhole attacks, have the potential to severely disrupt VANET systems. This study introduces a novel trust management scheme that incorporates cryptographic techniques to address the important issues of secure routing in VANETs, which also helps in the detection of attacks. In this work, nodes' trust scores are evaluated, and the forwarding node for packet dissemination is chosen based on these scores. Furthermore, an elliptic curve cryptographic (ECC) signcryption technique is added for providing security to the network by authenticating the nodes, which mitigates the misbehaving nodes from the network. The simulation and comparative analysis show the efficacy of the proposed scheme. The proposed approach attained a packet delivery ratio (PDR) of 92.8%, indicating high reliability in data dissemination. Furthermore, the achieved results of throughput and End‐to‐End (E2E) delay are 232.32 KBps and 0.02 s, respectively. The obtained outcomes show enhancements of 94.182%, 49.67%, and 6% in PDR, throughput, and E2E delay, respectively, with respect to the existing techniques.
Nidhi Jaswani, Mou Dasgupta, Sangram Ray et al.· Security and Privacy· 0 citations
