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Zheng Yan

Researcher at Shanghai Jiao Tong University

Publications -  490
Citations -  12887

Zheng Yan is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 47, co-authored 420 publications receiving 8786 citations. Previous affiliations of Zheng Yan include Helsinki University of Technology & Huawei.

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Journal ArticleDOI

Attacks and defenses in user authentication systems: A survey

TL;DR: A comprehensive review on attacks and defenses of the authentication systems, comparing and analyzing the performance of different defense mechanisms in different types of authentication systems and proposing a set of evaluation criteria for evaluating different kinds of attack defense mechanisms.
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A reversible sketch-based method for detecting and mitigating amplification attacks

TL;DR: This work uses a Chinese Reminder Theorem based Reversible Sketch to directly collect network traffic and then monitors the abrupt changes in one-to-one mapping between request packets and response packets to identify amplification attack traffic, which enables the detection method to handle big-volume network traffic.
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Privacy-preserving trust management for unwanted traffic control

TL;DR: The proposed privacy-preserving trust management system is proved to be one-way and semantically secure against chosen-plaintext (IND-CPA) attacks if Computational Composite Residuosity Assumption (CCRA) holds and its performance is extensively examined.
Proceedings ArticleDOI

A Study and Simulation Research of Blackhole Attack on Mobile AdHoc Network

TL;DR: This paper focuses on the Blackhole attack in AODV protocol, and uses NS-3 network simulator to study the impact of Blackhole Attack on network performance parameters, such as the Throughput, End-to-End Delay and Packet Loss Rate.
Journal ArticleDOI

SeDID: An SGX-enabled decentralized intrusion detection framework for network trust evaluation

TL;DR: SeDID as discussed by the authors is a Software Guard Extension (SGX)-enabled decentralized intrusion detection framework for network trust evaluation based on blockchain, where block creation is uniquely consented by miners and block creation difficulty is determined by the number of blocks previously created by a relative miner within a time window.