What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Statistics
His scientific interests lie mostly in Computational trust, Computer security, Subjective logic, Reputation system and Trust anchor.
The Web of trust research Audun Jøsang does as part of his general Computational trust study is frequently linked to other disciplines of science, such as Knowledge management, Internet privacy and Focus, therefore creating a link between diverse domains of science.
His Internet privacy study combines topics from a wide range of disciplines, such as E-commerce, User-centered design, Identity management, Usability and Service provider.
His Computer security research incorporates elements of Control and Protocol.
His Subjective logic study introduces a deeper knowledge of Artificial intelligence.
His study in Marketing is interdisciplinary in nature, drawing from both Statistical theory, Simplicity and Collaborative filtering.
His most cited work include:
- A survey of trust and reputation systems for online service provision (2860 citations)
- The Beta Reputation System (1314 citations)
- A logic for uncertain probabilities (912 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer security, Subjective logic, Artificial intelligence, Internet privacy and Computational trust.
His Computer security study incorporates themes from Service provider and Usability.
Audun Jøsang focuses mostly in the field of Subjective logic, narrowing it down to matters related to Theoretical computer science and, in some cases, Transitive relation.
Much of his study explores Artificial intelligence relationship to Machine learning.
Internet privacy is closely attributed to The Internet in his research.
His work in the fields of Computational trust, such as Trust anchor, overlaps with other areas such as Knowledge management, Trust management, Express trust and Information security.
He most often published in these fields:
- Computer security (36.00%)
- Subjective logic (28.89%)
- Artificial intelligence (18.22%)
What were the highlights of his more recent work (between 2015-2021)?
- Subjective logic (28.89%)
- Computer security (36.00%)
- Artificial intelligence (18.22%)
In recent papers he was focusing on the following fields of study:
Audun Jøsang mostly deals with Subjective logic, Computer security, Artificial intelligence, Probability distribution and Authentication.
His Subjective logic research integrates issues from Vagueness, Bayesian network, Multinomial distribution and Calculus.
Audun Jøsang integrates many fields, such as Multinomial distribution and Computational trust, in his works.
His biological study deals with issues like Data-driven, which deal with fields such as Threat assessment.
His Artificial intelligence study combines topics in areas such as Truth table and Natural language processing.
His work in the fields of Authentication, such as Identity management, intersects with other areas such as USable.
Between 2015 and 2021, his most popular works were:
- Subjective Logic: A Formalism for Reasoning Under Uncertainty (82 citations)
- The impact of quantum computing on present cryptography (52 citations)
- Global perspectives on cybersecurity education for 2030: a case for a meta-discipline (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Statistics
His primary areas of study are Subjective logic, Artificial intelligence, Vagueness, Computer security and Probability distribution.
The concepts of his Subjective logic study are interwoven with issues in Discrete mathematics and Expected utility hypothesis.
His studies in Artificial intelligence integrate themes in fields like Cognitive science and Natural language processing.
Audun Jøsang interconnects Variety, Data-driven and Premise in the investigation of issues within Computer security.
His Probability distribution study integrates concerns from other disciplines, such as Machine learning, Bayesian network, Probabilistic logic and Random variable.
He integrates many fields, such as Multinomial distribution, Base and Computational trust, in his works.
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