What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Xiapu Luo mainly focuses on Computer security, Computer network, Android, Smart contract and Network packet.
His study in the field of Access control is also linked to topics like Task analysis.
His work on Network security as part of general Computer network research is often related to Metric, thus linking different fields of science.
In his work, Mechanism is strongly intertwined with Virtual machine, which is a subfield of Smart contract.
The study incorporates disciplines such as Denial-of-service attack, Internet traffic and Vulnerability in addition to Network packet.
His work in Blockchain tackles topics such as Cryptocurrency which are related to areas like Transaction data, Database and Construct.
His most cited work include:
- A survey on the security of blockchain systems (444 citations)
- QDASH: a QoE-aware DASH system (287 citations)
- Information processing method and device (170 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer security, Computer network, Android, The Internet and Network packet.
Xiapu Luo focuses mostly in the field of Computer security, narrowing it down to matters related to Denial-of-service attack and, in some cases, Flooding.
His Computer network research integrates issues from Communication channel and Anonymity.
His Android research incorporates elements of World Wide Web, Privacy policy, Malware and Internet privacy.
His studies deal with areas such as Testbed, Distributed computing and Server as well as The Internet.
His Network packet research includes elements of Decoding methods, Real-time computing, PlanetLab and Channel capacity.
He most often published in these fields:
- Computer security (36.02%)
- Computer network (20.76%)
- Android (16.95%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer security (36.02%)
- Android (16.95%)
- Smart contract (9.32%)
In recent papers he was focusing on the following fields of study:
Xiapu Luo spends much of his time researching Computer security, Android, Smart contract, Internet privacy and Blockchain.
His work focuses on many connections between Computer security and other disciplines, such as Adversarial system, that overlap with his field of interest in Benchmark.
He interconnects Obfuscation, World Wide Web, Malware and Data science in the investigation of issues within Android.
His research in Smart contract intersects with topics in Construct, Software engineering, Bytecode and Symbolic execution.
His Internet privacy research is multidisciplinary, incorporating perspectives in Android app, Cryptocurrency and Security token.
The study incorporates disciplines such as Domain and End-to-end principle in addition to Cryptocurrency.
Between 2019 and 2021, his most popular works were:
- Interpretable Deep Learning under Fire (27 citations)
- Understanding Ethereum via Graph Analysis (15 citations)
- GasChecker: Scalable Analysis for Discovering Gas-Inefficient Smart Contracts (13 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
Xiapu Luo focuses on Computer security, Android, Malware, Artificial intelligence and Blockchain.
His work carried out in the field of Computer security brings together such families of science as Android app and Peer-to-peer.
His research in Android tackles topics such as Mobile apps which are related to areas like User experience design and Web page.
His work on Mobile malware as part of his general Malware study is frequently connected to Extortion, thereby bridging the divide between different branches of science.
Xiapu Luo works mostly in the field of Artificial intelligence, limiting it down to topics relating to Machine learning and, in certain cases, Stack overflow, Software, Software system and Malware analysis, as a part of the same area of interest.
His Blockchain study combines topics from a wide range of disciplines, such as Security analysis and Throughput.
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.
