What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Liehuang Zhu spends much of his time researching Computer security, Encryption, Blockchain, Computer network and Distributed computing.
His study in the fields of Information privacy, Access control and Adversary under the domain of Computer security overlaps with other disciplines such as Differential.
His work carried out in the field of Encryption brings together such families of science as Wireless, Bigram, Data mining and Fuzzy logic.
His research in Blockchain intersects with topics in Edge computing and Cryptography.
His Computer network study deals with Vehicular ad hoc network intersecting with Routing, Routing protocol and Testbed.
His Distributed computing research incorporates themes from Node, Information sensitivity, Denial-of-service attack and Private information retrieval.
His most cited work include:
- Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid (172 citations)
- Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks (114 citations)
- Search pattern leakage in searchable encryption: Attacks and new construction (109 citations)
What are the main themes of his work throughout his whole career to date?
Liehuang Zhu mostly deals with Computer security, Computer network, Encryption, Blockchain and Distributed computing.
His Computer security study frequently draws connections to other fields, such as The Internet.
His study in Overhead, Wireless sensor network, Public-key cryptography, Data aggregator and Protocol falls under the purview of Computer network.
His Encryption study integrates concerns from other disciplines, such as Data mining, Information sensitivity, Server and Information retrieval.
Liehuang Zhu conducts interdisciplinary study in the fields of Blockchain and Data sharing through his works.
His study of Software-defined networking is a part of Distributed computing.
He most often published in these fields:
- Computer security (38.15%)
- Computer network (21.85%)
- Encryption (21.11%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer security (38.15%)
- Blockchain (14.44%)
- Encryption (21.11%)
In recent papers he was focusing on the following fields of study:
Computer security, Blockchain, Encryption, Computer network and Data sharing are his primary areas of study.
His studies link The Internet with Computer security.
Liehuang Zhu combines subjects such as Information privacy, Distributed computing and Protocol with his study of Blockchain.
His Distributed computing research integrates issues from Scalability, Edge computing and Differential privacy.
The concepts of his Encryption study are interwoven with issues in Information sensitivity, Overhead, Data mining and Access control.
His Computer network study incorporates themes from Hash function and Key.
Between 2019 and 2021, his most popular works were:
- Differential Privacy-Based Blockchain for Industrial Internet-of-Things (48 citations)
- ASAP: An Anonymous Smart-Parking and Payment Scheme in Vehicular Networks (45 citations)
- Blockchain-Assisted Secure Device Authentication for Cross-Domain Industrial IoT (32 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
The scientist’s investigation covers issues in Computer security, Encryption, Blockchain, Security analysis and Edge computing.
His work on Authentication and Anonymity as part of general Computer security study is frequently connected to Work, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His study with Encryption involves better knowledge in Computer network.
His Blockchain research includes elements of Information privacy, Identity and The Internet.
His study in Security analysis is interdisciplinary in nature, drawing from both Privacy preserving, Server, Mobile device and Vehicular ad hoc network.
The Edge computing study combines topics in areas such as Dynamic programming, Lightning and Traceability.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
