What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of investigation include Computer network, Computer security, Wireless sensor network, Authentication and Wireless.
His Computer network research includes themes of Network Access Control and Cryptography.
In the field of Computer security, his study on Information privacy and Security service overlaps with subjects such as Service provider and Grid computing.
His Wireless sensor network research is multidisciplinary, incorporating elements of Wireless ad hoc network and Global Positioning System.
Cryptographic protocol is closely connected to Wireless network in his research, which is encompassed under the umbrella topic of Authentication.
His Wireless study integrates concerns from other disciplines, such as Trust management, Network performance and Base station.
His most cited work include:
- An Enhanced Two-factor User Authentication Scheme in Wireless Sensor Networks (190 citations)
- A strong user authentication scheme with smart cards for wireless communications (169 citations)
- ReTrust: Attack-Resistant and Lightweight Trust Management for Medical Sensor Networks (163 citations)
What are the main themes of his work throughout his whole career to date?
Daojing He mostly deals with Computer security, Computer network, Wireless sensor network, Authentication and Wireless.
His study explores the link between Computer security and topics such as Internet privacy that cross with problems in App store.
He has researched Computer network in several fields, including Network Access Control, Wireless network and Cryptography.
His Wireless sensor network study incorporates themes from Key distribution in wireless sensor networks, Node, Protocol, Base station and Dissemination.
In general Authentication study, his work on Authentication protocol often relates to the realm of Process, thereby connecting several areas of interest.
His Wireless research incorporates themes from Trust management, Network performance and Distributed computing.
He most often published in these fields:
- Computer security (45.54%)
- Computer network (36.61%)
- Wireless sensor network (24.11%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer security (45.54%)
- Password (9.82%)
- Intrusion detection system (7.14%)
In recent papers he was focusing on the following fields of study:
Daojing He mainly investigates Computer security, Password, Intrusion detection system, Artificial intelligence and Electronic systems.
Borrowing concepts from Vulnerability assessment, Daojing He weaves in ideas under Computer security.
His study in the fields of Password strength under the domain of Password overlaps with other disciplines such as Firmware.
His Intrusion detection system research is multidisciplinary, incorporating perspectives in Real-time computing and Network security.
His biological study spans a wide range of topics, including Machine learning and App store.
Daojing He has included themes like Interconnection, Security compliance and Digital signature in his Authentication study.
Between 2019 and 2021, his most popular works were:
- Dynamic Control of Fraud Information Spreading in Mobile Social Networks (10 citations)
- Location Privacy-Preserving Distance Computation for Spatial Crowdsourcing (5 citations)
- Security Analysis of Cryptocurrency Wallets in Android-Based Applications (4 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of study are Computer security, Password strength, Authentication, Password and Security analysis.
His research on Computer security often connects related topics like Crowdsourcing.
His research integrates issues of Artificial neural network, Web service and Pattern matching in his study of Password strength.
His work carried out in the field of Authentication brings together such families of science as Semantics and The Internet.
His Security analysis research is multidisciplinary, incorporating elements of Cryptocurrency, Attack surface and Threat model.
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