What is she best known for?
The fields of study Wenke Lee is best known for:
- Computer network
- False positives and false negatives
- Operating system
Her Linguistics study typically links adjacent topics like TRACE (psycholinguistics) and Feature (linguistics).
Her Feature (linguistics) study frequently links to other fields, such as Linguistics.
She integrates Intrusion detection system with Honeypot in her research.
She undertakes interdisciplinary study in the fields of Honeypot and Intrusion detection system through her works.
Her work blends Computer security and Attack patterns studies together.
While working on this project, Wenke Lee studies both Operating system and Embedded system.
She combines Embedded system and Operating system in her research.
Her Artificial intelligence study frequently links to other fields, such as False positive paradox.
In her research, Wenke Lee undertakes multidisciplinary study on False positive paradox and False positives and false negatives.
Her most cited work include:
- A framework for constructing features and models for intrusion detection systems (823 citations)
- None (631 citations)
- Lares: An Architecture for Secure Active Monitoring Using Virtualization (356 citations)
What are the main themes of her work throughout her whole career to date
Wenke Lee is involved in relevant fields of research such as Overhead (engineering) and Process (computing) in the domain of Operating system.
In her works, she undertakes multidisciplinary study on Computer security and Computer network.
Her study deals with a combination of Computer network and Network packet.
As part of her studies on Network packet, Wenke Lee often connects relevant areas like Computer security.
Her Intrusion detection system study frequently links to other fields, such as Artificial intelligence.
Her Artificial intelligence study typically links adjacent topics like Intrusion detection system.
She merges Data mining with Machine learning in her research.
She merges Machine learning with Data mining in her study.
Her study connects Botnet and World Wide Web.
Wenke Lee most often published in these fields:
- Computer security (57.78%)
- Intrusion detection system (40.00%)
- Operating system (37.78%)
What were the highlights of her more recent work (between 2018-2021)?
- Computer hardware (50.00%)
- Operating system (50.00%)
- Computer security (50.00%)
In recent works Wenke Lee was focusing on the following fields of study:
Her work on Geometry is being expanded to include thematically relevant topics such as Flow (mathematics) and Point (geometry).
Her Flow (mathematics) study frequently draws parallels with other fields, such as Geometry.
Wenke Lee combines topics linked to Random access memory with her work on Computer hardware.
Random access memory is often connected to Computer hardware in her work.
Operating system and Malware are two areas of study in which she engages in interdisciplinary work.
Wenke Lee integrates several fields in her works, including Computer security and Misinformation.
Her study deals with a combination of Misinformation and Computer security.
Wenke Lee undertakes interdisciplinary study in the fields of Programming language and Control flow through her research.
Wenke Lee combines Control flow and Programming language in her studies.
Between 2018 and 2021, her most popular works were:
- The Creation and Detection of Deepfakes (140 citations)
- Stopping Memory Disclosures via Diversification and Replicated Execution (14 citations)
- A Game-Theoretic Approach for Dynamic Information Flow Tracking to Detect Multistage Advanced Persistent Threats (13 citations)
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