2,394 research outputs found
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory
In Internet of Vehicles (IoV), data sharing among vehicles is essential to
improve driving safety and enhance vehicular services. To ensure data sharing
security and traceability, highefficiency Delegated Proof-of-Stake consensus
scheme as a hard security solution is utilized to establish blockchain-enabled
IoV (BIoV). However, as miners are selected from miner candidates by
stake-based voting, it is difficult to defend against voting collusion between
the candidates and compromised high-stake vehicles, which introduces serious
security challenges to the BIoV. To address such challenges, we propose a soft
security enhancement solution including two stages: (i) miner selection and
(ii) block verification. In the first stage, a reputation-based voting scheme
for the blockchain is proposed to ensure secure miner selection. This scheme
evaluates candidates' reputation by using both historical interactions and
recommended opinions from other vehicles. The candidates with high reputation
are selected to be active miners and standby miners. In the second stage, to
prevent internal collusion among the active miners, a newly generated block is
further verified and audited by the standby miners. To incentivize the standby
miners to participate in block verification, we formulate interactions between
the active miners and the standby miners by using contract theory, which takes
block verification security and delay into consideration. Numerical results
based on a real-world dataset indicate that our schemes are secure and
efficient for data sharing in BIoV.Comment: 12 pages, submitted for possible journal publicatio
When Mobile Blockchain Meets Edge Computing
Blockchain, as the backbone technology of the current popular Bitcoin digital
currency, has become a promising decentralized data management framework.
Although blockchain has been widely adopted in many applications, e.g.,
finance, healthcare, and logistics, its application in mobile services is still
limited. This is due to the fact that blockchain users need to solve preset
proof-of-work puzzles to add new data, i.e., a block, to the blockchain.
Solving the proof-of-work, however, consumes substantial resources in terms of
CPU time and energy, which is not suitable for resource-limited mobile devices.
To facilitate blockchain applications in future mobile Internet of Things
systems, multiple access mobile edge computing appears to be an auspicious
solution to solve the proof-of-work puzzles for mobile users. We first
introduce a novel concept of edge computing for mobile blockchain. Then, we
introduce an economic approach for edge computing resource management.
Moreover, a prototype of mobile edge computing enabled blockchain systems is
presented with experimental results to justify the proposed concept.Comment: Accepted by IEEE Communications Magazin
Blockchain-Based and Fuzzy Logic-Enabled False Data Discovery for the Intelligent Autonomous Vehicular System
Since the beginning of this decade, several incidents report that false data
injection attacks targeting intelligent connected vehicles cause huge
industrial damage and loss of lives. Data Theft, Flooding, Fuzzing, Hijacking,
Malware Spoofing and Advanced Persistent Threats have been immensely growing
attack that leads to end-user conflict by abolishing trust on autonomous
vehicle. Looking after those sensitive data that contributes to measure the
localisation factors of the vehicle, conventional centralised techniques can be
misused to update the legitimate vehicular status maliciously. As investigated,
the existing centralized false data detection approach based on state and
likelihood estimation has a reprehensible trade-off in terms of accuracy,
trust, cost, and efficiency. Blockchain with Fuzzy-logic Intelligence has shown
its potential to solve localisation issues, trust and false data detection
challenges encountered by today's autonomous vehicular system. The proposed
Blockchain-based fuzzy solution demonstrates a novel false data detection and
reputation preservation technique. The illustrated proposed model filters false
and anomalous data based on the vehicles' rules and behaviours. Besides
improving the detection accuracy and eliminating the single point of failure,
the contributions include appropriating fuzzy AI functions within the Road-side
Unit node before authorizing status data by a Blockchain network. Finally,
thorough experimental evaluation validates the effectiveness of the proposed
model.Comment: 11 pages, 11 figures, 4 tables AsiaCCS conference 202
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