What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Dongyan Xu spends much of his time researching Computer network, Virtual machine, Distributed computing, Operating system and Malware.
The concepts of his Computer network study are interwoven with issues in Key and Service level requirement.
His research in Virtual machine intersects with topics in Temporal isolation among virtual machines, Virtualization and Hypervisor.
His research integrates issues of Network topology, Randomized algorithm, Resource and Brooks–Iyengar algorithm in his study of Distributed computing.
His work in Operating system addresses issues such as Kernel, which are connected to fields such as Privilege level and Embedded system.
When carried out as part of a general Malware research project, his work on Rootkit is frequently linked to work in Semantic gap, therefore connecting diverse disciplines of study.
His most cited work include:
- Stealthy malware detection through vmm-based "out-of-the-box" semantic view reconstruction (507 citations)
- PROMISE: peer-to-peer media streaming using CollectCast (414 citations)
- Guest-Transparent Prevention of Kernel Rootkits with VMM-Based Memory Shadowing (288 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Distributed computing, Computer network, Operating system, Virtual machine and Virtualization.
His Distributed computing research focuses on subjects like Middleware, which are linked to Scalability.
His biological study spans a wide range of topics, including Service delivery framework and The Internet.
Dongyan Xu works mostly in the field of Operating system, limiting it down to topics relating to Embedded system and, in certain cases, Software.
His Virtual machine research is multidisciplinary, relying on both Computer security and Virtual network.
The Hypervisor study which covers Rootkit that intersects with Kernel.
He most often published in these fields:
- Distributed computing (26.24%)
- Computer network (25.74%)
- Operating system (20.30%)
What were the highlights of his more recent work (between 2015-2021)?
- Embedded system (9.41%)
- Computer security (12.87%)
- Software (10.40%)
In recent papers he was focusing on the following fields of study:
Dongyan Xu mostly deals with Embedded system, Computer security, Software, Real-time computing and Operating system.
His Computer security research incorporates elements of Cloud computing and Cyber-physical system.
Dongyan Xu has included themes like Binary code, Reverse engineering and Compile time in his Software study.
His Reverse engineering study combines topics from a wide range of disciplines, such as Probabilistic logic and Computer network, Communications protocol, Encryption.
His Android, Virtualization, Usability and Malware study, which is part of a larger body of work in Operating system, is frequently linked to Smartwatch, bridging the gap between disciplines.
Dongyan Xu performs integrative study on Reuse and Distributed computing in his works.
Between 2015 and 2021, his most popular works were:
- ProTracer: Towards Practical Provenance Tracing by Alternating Between Logging and Tainting. (98 citations)
- HERCULE: attack story reconstruction via community discovery on correlated log graph (57 citations)
- Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach (46 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
Dongyan Xu mainly focuses on Inference, Exploit, Real-time computing, Computer security and Theoretical computer science.
His studies deal with areas such as Program analysis and Audit as well as Inference.
His study looks at the relationship between Real-time computing and fields such as Aspect-oriented programming, as well as how they intersect with chemical problems.
His work on Exploit kit, Evasion and Obfuscation as part of general Computer security study is frequently linked to Multiple stages, bridging the gap between disciplines.
His research investigates the connection between Theoretical computer science and topics such as Granularity that intersect with issues in Distributed computing.
His Malware study results in a more complete grasp of Operating system.
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