What is she best known for?
The fields of study she is best known for:
- Cryptography
- Computer network
- Programming language
The scientist’s investigation covers issues in Computer security, Cryptography, Theoretical computer science, Random oracle and Credential.
Group signature and Strong RSA assumption are the core of her Computer security study.
Her research integrates issues of Encryption, Ring signature and Blind signature in her study of Cryptography.
Her study focuses on the intersection of Theoretical computer science and fields such as Proof of knowledge with connections in the field of Hash function, Accumulator and Revocation.
Her Random oracle research integrates issues from Algorithm and Signature.
Her Credential research is multidisciplinary, incorporating elements of Scheme, Security parameter, Authentication and Anonymity.
Her most cited work include:
- An Efficient System for Non-transferable Anonymous Credentials with Optional Anonymity Revocation (1005 citations)
- Signature Schemes and Anonymous Credentials from Bilinear Maps (792 citations)
- Dynamic accumulators and application to efficient revocation of anonymous credentials (618 citations)
What are the main themes of her work throughout her whole career to date?
Anna Lysyanskaya spends much of her time researching Computer security, Cryptography, Theoretical computer science, Random oracle and Credential.
Anna Lysyanskaya usually deals with Computer security and limits it to topics linked to Scheme and Identity.
Her Cryptography research is multidisciplinary, relying on both Discrete logarithm, Adversary, Verifiable secret sharing and Blind signature.
Her Theoretical computer science research incorporates elements of Signature, Mathematical proof, Digital signature, Proof of knowledge and Strong RSA assumption.
Her Random oracle research incorporates themes from Algorithm and Security parameter.
Anna Lysyanskaya has included themes like Accumulator, Revocation, Internet privacy and Delegate in her Credential study.
She most often published in these fields:
- Computer security (60.31%)
- Cryptography (36.64%)
- Theoretical computer science (19.85%)
What were the highlights of her more recent work (between 2013-2021)?
- Computer security (60.31%)
- Encryption (16.03%)
- Adversary (9.92%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Computer security, Encryption, Adversary, Computer network and Credential.
Her Identification research extends to the thematically linked field of Computer security.
Her research investigates the connection with Adversary and areas like Stateless protocol which intersect with concerns in Line, Random oracle, Distributed computing and Oblivious transfer.
Anna Lysyanskaya combines subjects such as Scheme and Scalability with her study of Computer network.
Her Credential course of study focuses on Delegate and Generic group model.
Her study in Cryptography is interdisciplinary in nature, drawing from both Modular design, Communication complexity, Anonymity, Accumulator and Revocation.
Between 2013 and 2021, her most popular works were:
- Malleable Signatures: New Definitions and Delegatable Anonymous Credentials (32 citations)
- Memento: How to Reconstruct Your Secrets from a Single Password in a Hostile Environment (25 citations)
- Accumulators with Applications to Anonymity-Preserving Revocation (23 citations)
In her most recent research, the most cited papers focused on:
- Cryptography
- Programming language
- Computer network
Her primary scientific interests are in Computer security, Identification, Cryptography, Hash-based message authentication code and DUAL.
Her research in Computer security intersects with topics in Signature, Mathematical proof and Theoretical computer science.
Anna Lysyanskaya has researched Identification in several fields, including Scheme, Focus and Component.
Her Cryptography research includes elements of Communication complexity, Anonymity, Accumulator, Revocation and Credential.
Her Hash-based message authentication code research is classified as research in Algorithm.
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