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Jae Hong Seo

Hanyang University · Computer Science

About the Lab

Professor Jae Hong Seo's research lab specializes in cryptography, with a strong focus on privacy-preserving systems and secure authenticated encryption. The lab explores advanced topics such as revocable identity-based encryption (RIBE), anonymous hierarchical identity-based encryption (HIBE), and secure searchable encryption, aiming to enhance both security and efficiency in real-world applications. Key research directions include constructing scalable, efficient, and provably secure cryptographic primitives under standard assumptions, with particular attention to resistance against advanced attacks like decryption key exposure and chosen-ciphertext attacks. The lab also investigates practical deployment challenges, such as key revocation, rejoining mechanisms, and constant-size ciphertexts, to support secure data outsourcing and cloud security.

identity-based encryptionrevocable encryptionanonymous HIBEsearchable encryptionstandard model cryptography

Research Overview

Papers
83
Total Citations
1,080
Papers (5y)
30
Primary Field
Computer Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
30total
2022
2023
2024
2025
2026
Citations per year (5y)
59total
20222023202420252026

Selected Papers

15
1
Book Chapter|164 citations·2013
Revocable Identity-Based Encryption Revisited: Security Model and Construction
Jae Hong Seo, Keita Emura
SJR Q2Lecture notes in computer science
Artificial IntelligenceComputer Science
2
Book Chapter|87 citations·2009
Anonymous Hierarchical Identity-Based Encryption with Constant Size Ciphertexts
Jae Hong Seo, Tetsutaro Kobayashi, Miyako Ohkubo, Koutarou Suzuki
SJR Q2Lecture notes in computer scienceOA
Artificial IntelligenceComputer Science
3
Article|86 citations·2016
Semi-generic construction of public key encryption and identity-based encryption with equality test
Hyung Tae Lee, San Ling, Jae Hong Seo, Huaxiong Wang
SJR Q1Information SciencesOA
Artificial IntelligenceComputer Science
4
Book Chapter|67 citations·2013
Efficient Delegation of Key Generation and Revocation Functionalities in Identity-Based Encryption
Jae Hong Seo, Keita Emura
SJR Q2Lecture notes in computer science
Artificial IntelligenceComputer Science
5
Article|37 citations·2014
Revocable Identity-Based Cryptosystem Revisited: Security Models and Constructions
Jae Hong Seo, Keita Emura
SJR Q1IEEE Transactions on Information Forensics and Security

Boneh and Franklin gave a naive revocation method in identity-based encryption (IBE) which imposes a huge overhead into the key generation center. Later, Boldyreva, Goyal, and Kumar proposed an elegant way of achieving an IBE with efficient revocation, called revocable IBE (RIBE). In this paper, we revisit RIBE from the viewpoint of both security models and constructions. First, we introduce a realistic threat, which we call decryption key exposure, and show that all prior RIBE constructions, ex

Artificial IntelligenceComputer Science
6
Book Chapter|33 citations·2012
Beyond the Limitation of Prime-Order Bilinear Groups, and Round Optimal Blind Signatures
Jae Hong Seo, Jung Hee Cheon
SJR Q2Lecture notes in computer scienceOA
Artificial IntelligenceComputer Science
7
Book Chapter|31 citations·2015
Revocable Hierarchical Identity-Based Encryption: History-Free Update, Security Against Insiders, and Short Ciphertexts
Jae Hong Seo, Keita Emura
SJR Q2Lecture notes in computer science
Artificial IntelligenceComputer Science
8
Article|26 citations·2019
Public key encryption with equality test from generic assumptions in the random oracle model
Hyung Tae Lee, San Ling, Jae Hong Seo, Huaxiong Wang
SJR Q1Information Sciences
Artificial IntelligenceComputer Science
9
Article|24 citations·2019
Efficient digital signatures from RSA without random oracles
Jae Hong Seo
SJR Q1Information Sciences
Artificial IntelligenceComputer Science
10
Article|20 citations·2014
Revocable hierarchical identity-based encryption
Jae Hong Seo, Keita Emura
SJR Q2Theoretical Computer Science
Computer Vision and Pattern RecognitionComputer Science
11
Preprint|20 citations·2011
Fully Secure Anonymous Hierarchical Identity-Based Encryption with Constant Size Ciphertexts.
Jae Hong Seo, Jung Hee Cheon
IACR Cryptology ePrint Archive

Efficient and privacy-preserving constructions for search functionality on encrypted data is important issues for data outsourcing, and data retrieval, etc. Fully secure anonymous Hierarchical ID-Based Encryption (HIBE) schemes is useful primitives that can be applicable to searchable encryptions [4], such as ID-based searchable encryption, temporary searchable encryption [1], and anonymous forward secure HIBE [9]. We propose a fully secure anonymous HIBE scheme with constant size ciphertexts. k

Artificial IntelligenceComputer Science
12
Book Chapter|19 citations·2012
On the (Im)possibility of Projecting Property in Prime-Order Setting
Jae Hong Seo
SJR Q2Lecture notes in computer scienceOA
Artificial IntelligenceComputer Science
13
Article|19 citations·2016
CCA2 Attack and Modification of Huanget al.’s Public Key Encryption with Authorized Equality Test
Hyung Tae Lee, San Ling, Jae Hong Seo, Huaxiong Wang
SJR Q2The Computer JournalOA

In this article, we identify a flaw in Huang et al.'s public key encryption with authorized equality test (The Computer Journal, 2015). More precisely, we point out that the proof of the indistinguishability under adaptive chosen ciphertext attack (IND-CCA2) security for their scheme has a serious flaw. We illustrate this flaw by presenting a polynomial time CCA2 attack on their scheme. We also provide a solution to correct this flaw by modifying their scheme slightly. Our solution is quite effi

Artificial IntelligenceComputer Science
14
Book Chapter|18 citations·2012
Constant-Round Multi-party Private Set Union Using Reversed Laurent Series
Jae Hong Seo, Jung Hee Cheon, Jonathan Katz
SJR Q2Lecture notes in computer science
Artificial IntelligenceComputer Science
15
Article|18 citations·2019
A new approach to practical function-private inner product encryption
Sungwook Kim, Jinsu Kim, Jae Hong Seo
SJR Q2Theoretical Computer Science
Artificial IntelligenceComputer Science

Research Areas

Artificial IntelligenceComputer Vision and Pattern RecognitionSignal ProcessingInformation SystemsStatistics and ProbabilityComputational Theory and Mathematics

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