What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
His primary areas of investigation include Computer security, Encryption, Password, Password strength and S/KEY.
Fabian Monrose has researched Computer security in several fields, including The Internet and World Wide Web.
The study incorporates disciplines such as Exploit kit and Code reuse in addition to The Internet.
While the research belongs to areas of Encryption, Fabian Monrose spends his time largely on the problem of Network packet, intersecting his research to questions surrounding Network security, Voice over IP, Identification and Traffic generation model.
In his research on the topic of One-time password, Operating system and Input device is strongly related with Human–computer interaction.
In his study, which falls under the umbrella issue of Authentication, Internet privacy is strongly linked to Biometrics.
His most cited work include:
- The design and analysis of graphical passwords (728 citations)
- Keystroke dynamics as a biometric for authentication (621 citations)
- A multifaceted approach to understanding the botnet phenomenon (546 citations)
What are the main themes of his work throughout his whole career to date?
Fabian Monrose mainly investigates Computer security, Encryption, Exploit, The Internet and Network security.
His work in Computer security is not limited to one particular discipline; it also encompasses Internet privacy.
His Encryption research is multidisciplinary, incorporating elements of Hidden Markov model, Keystroke dynamics and Network packet.
His study focuses on the intersection of Network packet and fields such as Voice over IP with connections in the field of Speech recognition.
His The Internet research is multidisciplinary, incorporating perspectives in Code reuse and Cache.
In his work, Machine learning and Artificial intelligence is strongly intertwined with Key, which is a subfield of Password.
He most often published in these fields:
- Computer security (49.65%)
- Encryption (14.89%)
- Exploit (13.48%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer security (49.65%)
- Code reuse (7.80%)
- Exploit (13.48%)
In recent papers he was focusing on the following fields of study:
Fabian Monrose mainly focuses on Computer security, Code reuse, Exploit, Code and Artificial intelligence.
His studies in Computer security integrate themes in fields like Overhead, Compiler and Hypervisor.
His Code reuse research is multidisciplinary, incorporating elements of Return-oriented programming, Byte, Address space layout randomization and Gadget.
His Exploit research is multidisciplinary, relying on both Adversary, The Internet, Enterprise information security architecture and Backward compatibility.
In his study, Inference and Keystroke logging is inextricably linked to Machine learning, which falls within the broad field of Artificial intelligence.
His Encryption research incorporates elements of Password and Cloud computing.
Between 2015 and 2021, his most popular works were:
- SoK: Security Evaluation of Home-Based IoT Deployments (88 citations)
- Virtual U: defeating face liveness detection by building virtual models from your public photos (46 citations)
- Practical Attacks Against Graph-based Clustering (41 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
The scientist’s investigation covers issues in Computer security, Exploit, Adversary, Authentication and Network security.
His Computer security study incorporates themes from Software, Computer network and Scalability.
Fabian Monrose combines subjects such as Correctness, Computer hardware, Central processing unit and Microarchitecture with his study of Exploit.
His research in Adversary intersects with topics in Backward compatibility, The Internet and Enterprise information security architecture.
His research integrates issues of Password and Encryption in his study of Authentication.
His work carried out in the field of Network security brings together such families of science as Unsupervised learning, Clustering coefficient, Cluster analysis and Feature vector.
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