What is he best known for?
The fields of study he is best known for:
- Cryptography
- Algebra
- Algorithm
His main research concerns Encryption, Discrete mathematics, Homomorphic encryption, Cryptography and Theoretical computer science.
Jung Hee Cheon studies Encryption, focusing on Diffie–Hellman key exchange in particular.
His Discrete mathematics study integrates concerns from other disciplines, such as Multilinear map, Security parameter, Signature, Algorithm and Abelian group.
His biological study spans a wide range of topics, including Ciphertext, Computation, Multiplication, Information sensitivity and Homomorphic secret sharing.
His research in Cryptography intersects with topics in Computer hardware, Key and Braid group.
His Theoretical computer science study combines topics in areas such as Random oracle, Public-key cryptography and Hash function.
His most cited work include:
- An Identity-Based Signature from Gap Diffie-Hellman Groups (791 citations)
- New Public-Key Cryptosystem Using Braid Groups (347 citations)
- Homomorphic Encryption for Arithmetic of Approximate Numbers (239 citations)
What are the main themes of his work throughout his whole career to date?
Jung Hee Cheon focuses on Encryption, Discrete mathematics, Homomorphic encryption, Theoretical computer science and Algorithm.
His Encryption research incorporates elements of Key and Cryptography.
His Discrete mathematics research integrates issues from Elliptic curve, Discrete logarithm and Combinatorics.
His Homomorphic encryption study incorporates themes from Plaintext, Multiplication, Computation and Homomorphic secret sharing.
His studies deal with areas such as ElGamal encryption, Random oracle, Cryptanalysis, Construct and Protocol as well as Theoretical computer science.
His Algorithm research includes themes of Polynomial and Diffie–Hellman key exchange.
He most often published in these fields:
- Encryption (34.02%)
- Discrete mathematics (31.95%)
- Homomorphic encryption (26.97%)
What were the highlights of his more recent work (between 2018-2021)?
- Homomorphic encryption (26.97%)
- Encryption (34.02%)
- Algorithm (17.43%)
In recent papers he was focusing on the following fields of study:
Jung Hee Cheon mostly deals with Homomorphic encryption, Encryption, Algorithm, Ciphertext and Public-key cryptography.
His work carried out in the field of Homomorphic encryption brings together such families of science as Computation, Support vector machine, Parallel computing, Function and Key.
His Encryption research includes elements of Numerical analysis, Multiplication, Arithmetic and Information privacy.
The Algorithm study combines topics in areas such as Polynomial and Lattice.
His Public-key cryptography research is multidisciplinary, incorporating elements of Discrete mathematics and Key.
His studies in Theoretical computer science integrate themes in fields like Multilinear map and Cryptanalysis.
Between 2018 and 2021, his most popular works were:
- Numerical Method for Comparison on Homomorphically Encrypted Numbers (17 citations)
- Logistic Regression on Homomorphic Encrypted Data at Scale (16 citations)
- Improved Homomorphic Discrete Fourier Transforms and FHE Bootstrapping (10 citations)
In his most recent research, the most cited papers focused on:
- Algebra
- Cryptography
- Algorithm
His primary areas of study are Homomorphic encryption, Encryption, Algorithm, Key and Discrete mathematics.
The study incorporates disciplines such as Hardware acceleration, Multiplication, Ciphertext and Degree in addition to Homomorphic encryption.
His Encryption research is multidisciplinary, incorporating perspectives in Data mining, Computer engineering, Residue number system, Information privacy and Mean-shift.
His research integrates issues of Structure, Secret sharing, Cryptography, Proactive secret sharing and Public-key cryptography in his study of Information privacy.
His studies in Key integrate themes in fields like Cryptosystem and Learning with errors.
Jung Hee Cheon interconnects Function, Bootstrapping and Ternary operation in the investigation of issues within Discrete mathematics.
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