What is she best known for?
The fields of study she is best known for:
- The Internet
- Computer network
- Operating system
Joan Feigenbaum mainly focuses on Trust management, Computer security, Theoretical computer science, Discrete mathematics and Combinatorics.
Her Trust management research integrates issues from The Internet, Knowledge management and Public-key cryptography.
Her study on Computer security is mostly dedicated to connecting different topics, such as Internet privacy.
The study incorporates disciplines such as Programming language, Computation, Distributed algorithmic mechanism design and Multicast in addition to Theoretical computer science.
Her Discrete mathematics research includes elements of Function and Computational complexity theory.
Her Security policy research is multidisciplinary, incorporating elements of Security information and event management and Cryptography.
Her most cited work include:
- Decentralized trust management (1911 citations)
- The KeyNote Trust-Management System Version 2 (555 citations)
- The role of trust management in distributed systems security (489 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Computer security, Discrete mathematics, Theoretical computer science, Combinatorics and Computer network.
Her work deals with themes such as The Internet and Internet privacy, which intersect with Computer security.
She combines subjects such as Function, Set and Computational complexity theory with her study of Discrete mathematics.
Joan Feigenbaum has included themes like Space and Secure multi-party computation, Computation in her Theoretical computer science study.
Her Combinatorics research is multidisciplinary, relying on both PSPACE and Probabilistic logic.
Her studies examine the connections between Computer network and genetics, as well as such issues in Distributed computing, with regards to Distributed algorithmic mechanism design.
She most often published in these fields:
- Computer security (32.47%)
- Discrete mathematics (17.32%)
- Theoretical computer science (12.99%)
What were the highlights of her more recent work (between 2011-2020)?
- Computer security (32.47%)
- Computer network (11.69%)
- Encryption (8.23%)
In recent papers she was focusing on the following fields of study:
The scientist’s investigation covers issues in Computer security, Computer network, Encryption, Internet privacy and Anonymity.
In her study, Network security is strongly linked to The Internet, which falls under the umbrella field of Computer security.
Her Encryption study integrates concerns from other disciplines, such as Secure multi-party computation, Computation, Cryptography, Key and Communications protocol.
She has included themes like Database and Intellectual property in her Cryptography study.
Her biological study spans a wide range of topics, including Control, Information sensitivity, World Wide Web and Revenue.
Her work deals with themes such as Probabilistic analysis of algorithms and A priori and a posteriori, which intersect with Anonymity.
Between 2011 and 2020, her most popular works were:
- A new approach to interdomain routing based on secure multi-party computation (39 citations)
- Reuse It Or Lose It: More Efficient Secure Computation Through Reuse of Encrypted Values (36 citations)
- Probabilistic analysis of onion routing in a black-box model (35 citations)
In her most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Operating system
Joan Feigenbaum spends much of her time researching Computer security, Secure multi-party computation, Computer network, Computation and Adversary.
As part of her studies on Computer security, she frequently links adjacent subjects like The Internet.
Joan Feigenbaum interconnects Network element, Information assurance and Internet privacy in the investigation of issues within The Internet.
The study incorporates disciplines such as Field, Guard, Theoretical computer science and Boolean circuit in addition to Secure multi-party computation.
Her study looks at the intersection of Computation and topics like Distributed computing with Secure two-party computation and Encryption.
Joan Feigenbaum usually deals with Adversary and limits it to topics linked to Autonomous system and Network simulation, Path, Network security and Network architecture.
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