What is she best known for?
The fields of study she is best known for:
- Cryptography
- Encryption
- Algebra
Susan Hohenberger mainly investigates Encryption, Computer security, Ciphertext, Cryptography and Attribute-based encryption.
The various areas that she examines in her Encryption study include Theoretical computer science, Distributed computing and Commitment scheme.
Her Key, Credential and Anonymity study in the realm of Computer security connects with subjects such as Cheating and TRACE.
Her studies in Ciphertext integrate themes in fields like Obfuscation, Semantic security and Public-key cryptography.
Her studies link Random oracle with Cryptography.
Her Proxy re-encryption research is multidisciplinary, incorporating elements of Plaintext, Distributed data store and Access control.
Her most cited work include:
- Improved proxy re-encryption schemes with applications to secure distributed storage (1087 citations)
- Outsourcing the decryption of ABE ciphertexts (449 citations)
- Chosen-ciphertext secure proxy re-encryption (439 citations)
What are the main themes of her work throughout her whole career to date?
Susan Hohenberger mainly focuses on Theoretical computer science, Computer security, Encryption, Cryptography and Random oracle.
Her Theoretical computer science research also works with subjects such as
- Standard model that intertwine with fields like Pseudorandom number generator,
- Signature together with Public-key cryptography,
- Oblivious transfer that intertwine with fields like Commitment scheme.
Her work in the fields of Access control, Credential and Anonymity overlaps with other areas such as Email authentication.
Her work on Ciphertext, Attribute-based encryption and Homomorphic encryption as part of her general Encryption study is frequently connected to Proxy, thereby bridging the divide between different branches of science.
She has included themes like Plaintext and Semantic security in her Ciphertext study.
Her Random oracle research includes themes of Algorithm, Hash function, Security parameter and Blind signature.
She most often published in these fields:
- Theoretical computer science (38.24%)
- Computer security (37.25%)
- Encryption (36.27%)
What were the highlights of her more recent work (between 2013-2020)?
- Theoretical computer science (38.24%)
- Encryption (36.27%)
- Cryptography (22.55%)
In recent papers she was focusing on the following fields of study:
Susan Hohenberger focuses on Theoretical computer science, Encryption, Cryptography, Public-key cryptography and Discrete mathematics.
Her Theoretical computer science research incorporates elements of SWIFFT, Random oracle, Hash chain, Obfuscation and Algorithm.
Her Random oracle study introduces a deeper knowledge of Computer security.
Within one scientific family, she focuses on topics pertaining to Correctness under Cryptography, and may sometimes address concerns connected to Oblivious transfer and Provable security.
Her Public-key cryptography course of study focuses on Signature and Overhead and Authentication.
Her Discrete mathematics study integrates concerns from other disciplines, such as Key Holder and Function.
Between 2013 and 2020, her most popular works were:
- Online/Offline Attribute-Based Encryption (134 citations)
- Replacing a Random Oracle: Full Domain Hash from Indistinguishability Obfuscation (113 citations)
- Adaptively Secure Puncturable Pseudorandom Functions in the Standard Model (32 citations)
In her most recent research, the most cited papers focused on:
- Cryptography
- Public-key cryptography
- Algebra
Her main research concerns Random oracle, Theoretical computer science, Public-key cryptography, Algorithm and Pseudorandom number generator.
Her research in Random oracle intersects with topics in Signature and Protocol.
Her Theoretical computer science study combines topics from a wide range of disciplines, such as SWIFFT, Hash chain, Hash function and Pseudorandom function family.
Her studies deal with areas such as Secure multi-party computation, Cryptography, World Wide Web and Digital signature as well as Public-key cryptography.
Her study looks at the relationship between Discrete mathematics and topics such as Variety, which overlap with Encryption.
The subject of her Encryption research is within the realm of Computer security.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
