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An Efficient and Generic Construction of Public Key Encryption With Equality Test Under the Random Oracle Model

IEEE Access 2025年 13卷 89411-89427页

作者： Choi, Seongbong Park, Chanhyeok Lee, Hyung Tae Chung-Ang University School of Computer Science and Engineering Seoul06974 Korea Republic of

Public key encryption with equality test (PKE-ET) facilitates authorized entities in distinguishing if two ciphertexts involve the identical underlying message. This functionality has driven its adoption across various applications, such as secure data management in cloud environments, encrypted spam filtering, and keyword searches in encrypted databases. However, existing generic PKE-ET constructions often rely on cryptographic primitives that require strong security assumptions or additional complex functionalities, leading to inefficiencies. This paper proposes an improved generic construction for PKE-ET under the random oracle model. The proposed method leverages only fundamental cryptographic building blocks, relying exclusively on a standard public key encryption (PKE) scheme along with cryptographic hash functions, without requiring additional complex primitives. More concretely, the proposed construction leverages a PKE scheme that ensures one-wayness against chosen plaintext attacks (OW-CPA), differing from earlier generic frameworks that necessitate stronger security guarantees. We demonstrate that the proposed construction satisfies one-wayness against adaptively chosen ciphertext attacks (OW-CCA2) for a Type-1 adversary-who possesses equality test trapdoors-and indistinguishability against adaptively chosen ciphertext attacks (IND-CCA2) for a Type-2 adversary-who lacks such trapdoors-assuming that the exploited PKE scheme achieves OW-CPA security. Furthermore, we present three concrete instantiations of our generic framework using well-established PKE schemes: The hashed ElGamal encryption, the RSA encryption, and the BIKE cryptosystem. These instantiations offer notable advantages over existing PKE-ET designs. The first two constructions enhance efficiency in comparison to prior schemes, while the third stands out as the first code-based PKE-ET instantiation, relying solely on code-based security assumptions. © 2013 IEEE.

关键词： Public key cryptography

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Defect modulation and in-situ exsolution in Y2Ru2O7@NiFeP/Ru heterostructure for enhanced oxygen evolution reaction

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稀有金属（英文版） 2025年第2期44卷 1014-1023页

作者： Eunsu Jang Jihoon Kim Jangwoo Cho Jaeho Lee Jooheon Kim School of Chemical Engineering and Materials Science Chung-Ang UniversitySeoul 06974Republic of Korea School of Chemical Engineering and Materials Science Chung-Ang UniversitySeoul 06974Republic of Korea Department of Advanced Materials Engineering Chung-Ang UniversityAnseong-si 17546Republic of Korea School of Chemical Engineering and Materials Science Chung-Ang UniversitySeoul 06974Republic of Korea Department of Mechanical and Aerospace Engineering University of CaliforniaIrvineCA 92679USA School of Chemical Engineering and Materials Science Chung-Ang UniversitySeoul 06974Republic of Korea Department of Intelligent Energy and Industry Graduate SchoolChung-Ang UniversitySeoul 06974Republic of Korea

Pyrochlore oxide(Y2Ru2O7)has been identified as a promising catalyst for the oxygen evolution reaction(OER)in advanced green energy ***,its electrochemical inertness necessitates the exploration of an effective strategy to facilitate electronic *** study proposes a surface modification approach involving the integration of defective NiFe(D-NiFe)nanoparticles onto a Y2Ru2O7(YRO)support(YRO@D-NiFeP/Ru)using a Prussian blue analog(PBA).Numerous cyanide(CN)vacancies are generated through the oxidation treat-ment of the NiFe PBA grown on the YRO support,yielding a defective PBA precursor(YRO@D-PBA).Subsequent annealing facilitates the transformation to the D-NiFe nanoparticles on the YRO support(YRO@D-NiFeP/Ru),which augments the exposure of Ni3+active sites benefi-cial for the ***,the reduction of Ru cations from YRO results in the exsolution of Ru nanoparticles,which promotes synergistic charge transfer from the nanoparticles to the interior of ***,YRO@D-NiFeP/Ru exhibits a remarkable voltage of 1.49 V at 10 mA·cm-2 and the lowest Tafel slope of 42.4 *** addition,a Zn-air battery constructed with YRO@D-NiFeP/Ru exhibits an outstanding power density of 136.2 mW·cm-2 and high charge-discharge stability,confirming the applicability of YRO@D-NiFeP/Ru in metal-air batteries.

关键词： Pyrochlore oxide structure Prussian blue analog Defect structure Oxygen evolution reaction Zn-air battery

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Resource Management, Security, and Privacy Issues in Semantic Communications: A Survey

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IEEE Communications Surveys and Tutorials 2024年第3期27卷 1758-1797页

作者： Won, Dongwook Woraphonbenjakul, Geeranuch Wondmagegn, Ayalneh Bitew Tran, Anh Tien Lee, Donghyun Lakew, Demeke Shumeye Cho, Sungrae Chung-Ang University School of Computer Science and Engineering Seoul06974 Korea Republic of

Resource management, security, and privacy stand as fundamental pillars for the reliable and secure operation of efficient semantic communications (SC) system. By addressing these aspects, SC system can pave the way for efficient resource utilization, improved network efficiency, enhanced communication performance, and protection of sensitive information. In this study, we begin by presenting the background of SC and reviewing several existing studies in this field. Subsequently, we provide a comprehensive and exhaustive survey of resource management, security, and privacy in SC. We identify and highlight existing challenges and open research challenges related to resource management, security, and privacy in SC in order to spur further investigation in these areas. © 1998-2012 IEEE.

关键词： Differential privacy

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A Blockchain-Based Trust Model for Supporting Collaborative Healthcare Data Management

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computer Systems science & engineering 2023年第9期46卷 3403-3421页

作者： Jiwon Jeon Junho Kim Mincheol Shin Mucheol Kim Department of Computer Science and Engineering Chung-Ang UniversitySeoul06911Korea

The development of information technology allows the collaborative business process to be run across multiple enterprises in a larger market ***,while collaborative business expands the realm of businesses,it also causes various hazards in collaborative Interaction,such as data falsification,inconstancy,*** solve these issues,a blockchainbased collaborative business modeling approach was proposed and ***,the existing studies lack the blockchain risk problem-solving specification,and there is no verification technique to examine the ***,it is difficult to confirm the appropriateness of the ***,here,we propose and build a blockchain-based trust model to strengthen and verify the integrity and security of the collaborative business process;Integrity and security address the validity of collaborative interactions in terms of a trust,and we construct a blockchain pattern based on trust elements to meet the required the ***,a trust model can be applied to the healthcare data-sharing process,and then the achievement of the trustbased safe data-sharing process can be *** model can be used as a trust-building guidance tool or for integrity and security verification with the collaborative business process in a distributed environment with blockchain.

关键词： Blockchain business process trustmodel healthcare data-sharing data science

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A Survey on Copy-on-Write File Systems 15

A Survey on Copy-on-Write File Systems

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Tran, Manh Dat Nguyen, Lan Anh Lee, Hyung Tae Paek, Jeongyeup Cho, Sungrae Son, Yongseok Chung-Ang University Department of Computer Science and Engineering China

ISBN: (纸本)9798350364637

Crash consistency is crucial for ensuring the correctness of a storage system. One of the three classic file system consistency techniques is shadow paging (i.e., CoW). In CoW file system, instead of in-place modifying data on disk, the file system writes updates to newly-allocated blocks. It copies over old blocks and newly-allocated ones if it is necessary. After the updates have been confirmed as completed, the old ones can be released. CoW file systems, such as ZFS, BTRFS, BCacheFS, have still attracted attention in usage and development for years. This study firstly provides an overview of a CoW filesystem. Second, the comparison of CoW file systems in terms of provided features is provided. Besides, we compare CoW file systems to popular file systems applying the two other consistency techniques (i.e., journaling and log-structuring file systems) in terms of provided features. © 2024 IEEE.

关键词： File organization

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PageRank-Guided Random Walks for Improved Graph Representations 15

PageRank-Guided Random Walks for Improved Graph Representati...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Ryu, Yejong Choe, Tae Young Park, Taeyoon Kim, Mucheol Chung-Ang University Department of Computer Science and Engineering Yongin City Korea Republic of Chung-Ang University Department of Computer Science and Engineering Seoul Korea Republic of Chung-Ang University Department of Physics Seoul Korea Republic of School of Computer Science & Engineering Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)9798350364637

Graph embedding efficiently maps complex graph features within a low-dimensional vector space, facilitating a variety of downstream network prediction tasks. Recent advancements often leverage random walk-based methods due to their proficiency in capturing the structural information of graphs. However, these methods tend to exhibit an inherent bias toward high-centrality nodes, which frequently serve as pivotal bridges in network topology. Such biases disproportionately influence the learning process and can skew embeddings. This leads to inaccurate predictions, particularly for nodes with sparse connections. This paper proposes a novel approach that utilizes the PageRank algorithm to quantify node importance and identify imbalances. By integrating these insights, we aim to mitigate centrality bias in graph embeddings, thus enhancing the representational fairness and predictive accuracy of the model. © 2024 IEEE.

关键词： Graph embeddings

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4D-printed intelligent reflecting surface with improved beam resolution via both phase modulation and space modulation

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Microsystems & Nanoengineering 2024年第5期10卷 407-415页

作者： Kyounghwan Kim Ratanak Phon Eiyong Park Sungjoon Lim Department of Intelligent Semiconductor Engineering Chung-Ang UniversitySeoul 06974Republic of Korea Department of Electrical and Computer Engineering Stevens Institute of TechnologyHoboken NJ 07030USA School of Electrical and Electronic Engineering Chung-Ang UniversitySeoul 06974Republic of Korea

Recently,intelligent reflecting surfaces(IRSs)have emerged as potential candidates for overcoming the line-of-sight issue in 5 G/6 G wireless *** IRSs can manipulate the direction of reflected beams,enabling efficient beam steering to enhance the performance of wireless *** unit cell(or unit structure)of an IRS commonly consists of electrical elements for phase ***,by employing phase modulation alone,an IRS can steer the reflected electromagnetic waves toward only discrete and specific angles,leaving a wide range of out-of-beam *** this work,an IRS that uses both phase modulation and space modulation is presented to improve the beam resolution and continuously cover out-of-beam areas that phase modulation alone cannot address.A positive-intrinsic-negative diode is mounted on a unit cell for phase modulation,and a 4D-printed reconfigured structure is fabricated to demonstrate space *** beam-steering function is achieved by alternating the states of the diodes in the same columns,while the beam resolution is improved by controlling the gaps between the *** functions are frst theoretically and numerically analyzed and then experimentally verified,demonstrating that additional angles of-46°/+50°,-22°/+14°,and -16°/+12°are achieved with space modulation and -60°/+62°,-30°/+22°,and±16°are achieved by phase modulation *** proposed IRS offers the possibility of functional integration in a variety of indoor applications within the wireless communication field.

关键词： alone beam columns

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A Survey on Metadata Management in File Systems 15

A Survey on Metadata Management in File Systems

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Ahn, Taehwan Choi, Munhyeong Lee, Hyung Tae Paek, Jeongyeup Cho, Sungrae Son, Yongseok Chung-Ang University Department of Computer Science and Engineering Korea Republic of

ISBN: (纸本)9798350364637

This paper examines recent research focused on optimizing the performance of file system metadata. File system metadata performance significantly impacts overall file system performance and serves as a crucial indicator in server and storage environments that handle a large volume of file man-agement. Recently, various studies have proposed techniques to improve metadata performance. For example, IndexFS combines multiple techniques to achieve meta data throughput that sur-passes existing solutions. Soft updates have been implemented to sequence granular updates to writeback cache blocks at a low cost. The versioning file system employs journal-based metadata to minimize space used by inodes and indirect blocks. The multiversion B-tree uses timestamps to reduce spatial requirements related to directories. In distributed file systems, metadata load is distributed, and the reliability of the metadata service improves as the system size increases. With the importance of metadata management, this paper explores recent research trends in metadata structure and performance optimization based on these studies. © 2024 IEEE.

关键词： Metadata

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Continual Learning for Multiple Task Complexities 15

Continual Learning for Multiple Task Complexities

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Jin, Hyundong Kim, Eunwoo School of Computer Science and Engineering Chung-Ang University Korea Republic of

ISBN: (纸本)9798350364637

Continual learning aims to acquire knowledge from sequentially incoming tasks while mitigating the forgetting of knowledge from previous tasks. Existing continual learning methods have primarily focused on tasks with a consistent objective, such as a sequential image classification task, which limits their effectiveness when extended to tasks with different complexities in terms of objectives (e.g., modalities). This limitation makes the model prone to forgetting knowledge from relatively simple tasks when learning more complex tasks. To address this issue, we propose a continual learning framework for tasks of different complexities. We allocate a separate set of learnable parameters based on task complexity, thereby mitigating forgetting caused by overwritten knowledge from other tasks. Experimental results demonstrate that the proposed method outperforms other continual learning methods for tasks with varying complexities. © 2024 IEEE.

关键词： Multi-task learning

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Kim, Gyeong-Hyeon Ko, Nayoung Kim, Eunwoo School of Computer Science and Engineering Chung-Ang University Korea Republic of Chung-Ang University Department of Ai Korea Republic of

ISBN: (纸本)9798350364637

Class-incremental semantic segmentation faces challenges in retaining the knowledge of old classes while learning new ones. Catastrophic forgetting and background shift are the primary hurdles causing performance degradation. Moreover, class confusion arises when new classes share categorical similarities with existing ones. Due to class confusion, the class-incremental semantic segmentation model overwrites the knowledge of old classes with similar new classes. In this paper, we introduce Similarity-aware Class Discrimination (SCD) to address the class confusion problem. SCD increases the distance between classes that share categorical similarities (i.e., visually similar but different classes) in the embedding space, preventing new knowledge from overwriting old knowledge. This approach encourages the model to discriminate between similar categorical classes, mitigating class confusion in class-incremental semantic segmentation. Our method surpasses existing CNN-based and transformer-based class-incremental semantic segmentation methods in PASCAL VOC 2012. © 2024 IEEE.

关键词： Semantic Segmentation

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