scispace - formally typeset
X

Xiang Lu

Researcher at Chinese Academy of Sciences

Publications -  39
Citations -  1107

Xiang Lu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Smart grid & Authentication. The author has an hindex of 12, co-authored 38 publications receiving 962 citations. Previous affiliations of Xiang Lu include Newcastle University & Xidian University.

Papers
More filters
Proceedings ArticleDOI

Review and evaluation of security threats on the communication networks in the smart grid

TL;DR: This work provides initial experimental data of DoS attacks against a power network and shows that the network performance degrades dramatically only when the DoS attack intensity approaches to the maximum.
Journal ArticleDOI

A privacy preserving three-factor authentication protocol for e-Health clouds

TL;DR: A robust three-factor authentication protocol is put forward, which not only guards various known attacks, but also provides more desired security properties, and it is demonstrated that the scheme provides mutual authentication using the Burrows–Abadi–Needham logic.
Journal ArticleDOI

An efficient two-factor user authentication scheme with unlinkability for wireless sensor networks

TL;DR: The proposed enhanced authentication scheme with unlinkability not only remedies its security flaws but also improves its performance and is more suitable for practical applications of WSNs than Xue et al.
Journal ArticleDOI

An Empirical Study of Communication Infrastructures Towards the Smart Grid: Design, Implementation, and Evaluation

TL;DR: A case study of a smart grid demonstration project, the Future Renewable Electric Energy Delivery and Management (FREEDM) systems, and measures the message delivery performance of the DNP3-based communication infrastructure, revealing that diverse timing requirements of message deliveries are arguably primary concerns in a way that dominates viabilities of protocols or schemes in the communication infrastructure of the smart grid.
Proceedings ArticleDOI

Achieving Privacy Preservation in WiFi Fingerprint-Based Localization

TL;DR: This paper analyzes the privacy issues of WiFi fingerprint-based localization and proposes a Privacy-Preserving WiFi Fingerprint Localization scheme (PriWFL) that can protect both the client's location privacy and the service provider's data privacy and presents a performance enhancement algorithm by exploiting the indoor mobility prediction.