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Nisha Malik
Researcher at University of Technology, Sydney
Publications - 7
Citations - 677
Nisha Malik is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Vehicular ad hoc network & Blockchain. The author has an hindex of 4, co-authored 6 publications receiving 401 citations.
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Journal ArticleDOI
Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems
TL;DR: The blockchain is a public ledger that works like a log by keeping a record of all transactions in chronological order, secured by an appropriate consensus mechanism and providing an immutable record.
Journal ArticleDOI
The Blockchain as a Decentralized Security Framework [Future Directions]
TL;DR: An overview of this technology for the realization of security across distributed parties in an impregnable and transparent way is presented.
Proceedings ArticleDOI
Blockchain Based Secured Identity Authentication and Expeditious Revocation Framework for Vehicular Networks
TL;DR: A blockchain based authentication and revocation framework for vehicular networks, which not only reduces the computation and communication overhead by mitigating dependency on a trusted authority for identity verification, but also speedily updates the status of revocated vehicles in the shared blockchain ledger.
Journal ArticleDOI
Vehicular networks with security and trust management solutions: proposed secured message exchange via blockchain technology
TL;DR: This research work intends to introduce a new trust management system in VANET with two major phases: secured message transmission and node trustability prediction and the performance of the proposed model is verified and proved over other conventional methods for certain measures.
Proceedings ArticleDOI
Trust and Reputation in Vehicular Networks: A Smart Contract-Based Approach
TL;DR: A smart contract-based approach to update and query the reputation of nodes, stored and maintained by IPFS distributed storage, deals with an emergency scenario, dealing against colluding attacks and the results show how smart contracts are capable of accurately identifying trustworthy nodes and record the reputationof a node transparently and immutably.