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Liangmin Wang

Researcher at Jiangsu University

Publications -  98
Citations -  2260

Liangmin Wang is an academic researcher from Jiangsu University. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 18, co-authored 79 publications receiving 1549 citations. Previous affiliations of Liangmin Wang include Anhui University.

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Physical Layer Security for Next Generation Wireless Networks: Theories, Technologies, and Challenges

TL;DR: This survey introduces the fundamental theories of PHy-security, covering confidentiality and authentication, and provides an overview on the state-of-the-art works on PHY-security technologies that can provide secure communications in wireless systems, along with the discussions on challenges and their proposed solutions.
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An Efficient Anonymous Batch Authentication Scheme Based on HMAC for VANETs

TL;DR: This paper proposes an efficient anonymous batch authentication scheme (ABAH) to replace the CRL checking process by calculating the hash message authentication code (HMAC), and uses HMAC to avoid the time-consuming CRL Checking and to ensure the integrity of messages that may get loss in previous batch authentication.
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Efficient Privacy-Preserving Authentication for Vehicular Ad Hoc Networks

TL;DR: This paper presents an efficient privacy-preserving authentication scheme based on group signature for vehicular ad hoc networks (VANETs), which uses a hash message authentication code (HMAC) to avoid time-consuming CRL checking and to ensure the integrity of messages before batch group authentication.
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Message Authentication Using Proxy Vehicles in Vehicular Ad Hoc Networks

TL;DR: It is shown from the analysis and simulations that an RSU can verify 26 500 signatures per second simultaneously with the help of the proxy vehicles, and the time needed to verify 3000 signatures in the PBAS can be reduced by 88% compared with existing batch-based authentication schemes.
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Privacy-Aware Task Allocation and Data Aggregation in Fog-Assisted Spatial Crowdsourcing

TL;DR: A privacy-aware task allocation and data aggregation scheme (PTAA) is proposed leveraging bilinear pairing and homomorphic encryption and security analysis shows that PTAA can achieve the desirable security goals.