What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer network
His main research concerns Computer security, Cloud computing, Computer network, Malware and Overhead.
His Computer security research focuses on Android and how it connects with Data science.
In the subject of general Cloud computing, his work in Hypervisor, Cloud computing security and Virtualization is often linked to Covert channel, thereby combining diverse domains of study.
His Computer network research incorporates themes from Data validation and The Internet.
He interconnects False positive paradox, Intrusion detection system, Encryption and Extortion in the investigation of issues within Malware.
As part of the same scientific family, Kevin R. B. Butler usually focuses on Overhead, concentrating on Data loss and intersecting with Software deployment, Metadata and Object.
His most cited work include:
- A Survey of BGP Security Issues and Solutions (285 citations)
- CryptoLock (and Drop It): Stopping Ransomware Attacks on User Data (218 citations)
- Trustworthy whole-system provenance for the Linux kernel (111 citations)
What are the main themes of his work throughout his whole career to date?
Computer security, Operating system, Computer network, The Internet and Embedded system are his primary areas of study.
His research in Computer security intersects with topics in Software, Cloud computing and Internet privacy.
His Cloud computing study combines topics in areas such as Virtual machine and Mobile device.
His Computer network research focuses on subjects like Adversary, which are linked to Public-key cryptography.
Many of his research projects under The Internet are closely connected to Border Gateway Protocol with Border Gateway Protocol, tying the diverse disciplines of science together.
His Embedded system research incorporates elements of Android, USB, Security token and Compiler.
He most often published in these fields:
- Computer security (45.76%)
- Operating system (16.10%)
- Computer network (16.10%)
What were the highlights of his more recent work (between 2019-2021)?
- Identification (4.24%)
- Firmware (8.47%)
- Adversarial machine learning (4.24%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Identification, Firmware, Adversarial machine learning, Computer security and Application programming interface.
His research integrates issues of Traffic analysis, Fuzz testing and Adaptation in his study of Identification.
The various areas that Kevin R. B. Butler examines in his Firmware study include Wireless, Policy analysis and Android.
His Adversarial machine learning research includes themes of Tree traversal and Contextual image classification.
The Authentication research Kevin R. B. Butler does as part of his general Computer security study is frequently linked to other disciplines of science, such as Containerization, therefore creating a link between diverse domains of science.
The concepts of his Application programming interface study are interwoven with issues in Mixed reality, Human–computer interaction, Eye tracking and Gaze.
Between 2019 and 2021, his most popular works were:
- BigMAC: Fine-Grained Policy Analysis of Android Firmware (4 citations)
- A privacy-preserving approach to streaming eye-tracking data (1 citations)
- Brittle Features of Device Authentication (0 citations)
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