What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer network
Wenke Lee focuses on Intrusion detection system, Data mining, Computer security, Anomaly detection and Anomaly-based intrusion detection system.
His studies deal with areas such as Wireless ad hoc network, Machine learning and Computer network as well as Intrusion detection system.
The various areas that he examines in his Data mining study include Pattern matching, Software deployment, Cluster analysis and Audit.
Particularly relevant to Malware is his body of work in Computer security.
The concepts of his Anomaly detection study are interwoven with issues in Data security, Conditional entropy and Intrusion prevention system.
His studies in Anomaly-based intrusion detection system integrate themes in fields like Exploit and Construct.
His most cited work include:
- Data mining approaches for intrusion detection (1119 citations)
- A data mining framework for building intrusion detection models (1101 citations)
- Intrusion detection in wireless ad-hoc networks (1074 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer security, Intrusion detection system, Data mining, Malware and Computer network.
His biological study spans a wide range of topics, including Botnet, The Internet, World Wide Web and Server.
His study in Intrusion detection system is interdisciplinary in nature, drawing from both Anomaly detection, Real-time computing and Host.
He has researched Data mining in several fields, including Machine learning, Cluster analysis, Set and Audit.
His Malware study incorporates themes from Virtualization and Executable.
Computer network and Wireless ad hoc network are commonly linked in his work.
He most often published in these fields:
- Computer security (38.73%)
- Intrusion detection system (28.52%)
- Data mining (19.37%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer security (38.73%)
- Information flow (5.28%)
- Overhead (5.63%)
In recent papers he was focusing on the following fields of study:
Wenke Lee spends much of his time researching Computer security, Information flow, Overhead, Distributed computing and Stochastic game.
His Computer security research incorporates themes from Metadata and Internet privacy.
His Information flow study also includes fields such as
- Nash equilibrium which intersects with area such as Security policy,
- Enhanced Data Rates for GSM Evolution which connect with State, Approximation algorithm and Submodular set function.
His Overhead research is multidisciplinary, relying on both Data flow diagram, Process, Theoretical computer science and Memory corruption.
His Distributed computing research includes themes of Resource, Host and Network packet.
His work investigates the relationship between Malware and topics such as Pipeline that intersect with problems in Program analysis.
Between 2015 and 2021, his most popular works were:
- Cloak and Dagger: From Two Permissions to Complete Control of the UI Feedback Loop (64 citations)
- Enforcing Kernel Security Invariants with Data Flow Integrity. (57 citations)
- How to Make ASLR Win the Clone Wars: Runtime Re‐Randomization (52 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
His primary scientific interests are in Computer security, Scalability, Internet privacy, Overhead and Process.
His research on Computer security frequently links to adjacent areas such as Workflow.
His Scalability study integrates concerns from other disciplines, such as Computer engineering, Software license, Source lines of code, Java and Data compaction.
Wenke Lee combines subjects such as Clickjacking, Permission system and Login with his study of Internet privacy.
His research in Overhead intersects with topics in Real-time computing, Pre-play attack and Filter.
The Exploit study combines topics in areas such as Implementation, Server and Control-flow integrity, Code.
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