What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer security
- Programming language
His primary scientific interests are in Computer security, Internet privacy, Password, Security policy and Password strength.
The Information security standards research Lujo Bauer does as part of his general Computer security study is frequently linked to other disciplines of science, such as Structure, therefore creating a link between diverse domains of science.
Internet privacy is often connected to Usability in his work.
His is doing research in Cognitive password and Password policy, both of which are found in Password.
Lujo Bauer has researched Password strength in several fields, including Probabilistic logic and JavaScript.
His Artificial neural network research focuses on Focus and how it relates to Access control.
His most cited work include:
- Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition (725 citations)
- Edit automata: enforcement mechanisms for run-time security policies (339 citations)
- Guess Again (and Again and Again): Measuring Password Strength by Simulating Password-Cracking Algorithms (321 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer security, Access control, Internet privacy, Password and Usability.
His work on Security policy, Authentication and Key as part of general Computer security study is frequently linked to Enforcement and USable, therefore connecting diverse disciplines of science.
His Security policy research includes elements of Automaton, Set, Information security standards, Software and Computer security model.
His research integrates issues of User interface and World Wide Web in his study of Access control.
His Internet privacy research overlaps with other disciplines such as Data sharing and Notice.
His study in the fields of Password strength, Password policy and Cognitive password under the domain of Password overlaps with other disciplines such as Service provider.
He most often published in these fields:
- Computer security (47.33%)
- Access control (28.67%)
- Internet privacy (28.00%)
What were the highlights of his more recent work (between 2016-2021)?
- Internet privacy (28.00%)
- Computer security (47.33%)
- Password (22.00%)
In recent papers he was focusing on the following fields of study:
Internet privacy, Computer security, Password, Artificial intelligence and Artificial neural network are his primary areas of study.
His work deals with themes such as Software deployment and Malware, which intersect with Internet privacy.
His Usability research extends to the thematically linked field of Computer security.
In general Password study, his work on Password policy and Password strength often relates to the realm of Expiration, thereby connecting several areas of interest.
He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Machine learning and, in certain cases, Hybrid approach and Task, as a part of the same area of interest.
He has included themes like Adversarial system and Robustness in his Artificial neural network study.
Between 2016 and 2021, his most popular works were:
- Privacy expectations and preferences in an IoT world (73 citations)
- Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition. (71 citations)
- Some Recipes Can Do More Than Spoil Your Appetite: Analyzing the Security and Privacy Risks of IFTTT Recipes (63 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer security
Lujo Bauer spends much of his time researching Internet privacy, Computer security, Robustness, Artificial neural network and Adversarial system.
His Internet privacy research incorporates themes from Authentication, Software deployment and Usability.
Many of his studies on Computer security involve topics that are commonly interrelated, such as Pattern recognition.
The concepts of his Robustness study are interwoven with issues in Classifier, Adversary, Theoretical computer science and Generative grammar.
His Cognitive password research integrates issues from Data-driven, Password management and Human–computer interaction.
His studies deal with areas such as Fingerprint, Key and Fingerprint as well as Authentication.
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