Article
Computer Science, Hardware & Architecture
Geong Sen Poh, Prosanta Gope, Jianting Ning
Summary: A smart home provides convenience and security for users, but concerns exist around security and privacy due to the potential leakage and unauthorized access of sensitive information. A proposed privacy-preserving scheme, PrivHome, aims to address these issues by ensuring data confidentiality, authentication, and privacy-preserving queries within smart home systems. The scheme utilizes symmetric cryptographic techniques for efficiency and effectiveness, demonstrating its practicality through experimental and simulation results.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2021)
Article
Computer Science, Information Systems
Jeongsu Kim, Aaram Yun
Summary: Homomorphic authenticated encryption allows computation on ciphertexts without loss of privacy, providing authenticity during decryption. The security notions in this field are complex, but a new definition and construction have been proposed to unify and simplify the notions. This new approach also supports efficiency and multiple datasets.
Article
Chemistry, Analytical
Yunzhuo Liu, Wen Huang, Ming Zhuo, Shijie Zhou, Mengshi Li
Summary: Mobile payment services are widely used for convenient transactions, but privacy concerns have emerged. This paper proposes a mobile payment protocol suitable for devices with limited computing resources. The protocol allows users to confirm others' identities in a transaction while not providing convincing evidence of their own participation. Experimental results confirm the protocol's suitability for mobile devices with limited computing resources.
Article
Computer Science, Information Systems
Elmahdi Bentafat, M. Mazhar Rathore, Spiridon Bakiras
Summary: Massive video surveillance is crucial for law enforcement, but poses serious privacy concerns. A general framework for privacy-preserving identification, by storing encrypted databases at cameras, reduces communication cost and significantly speeds up computation. The face and license plate recognition systems, implementing this framework, show promising results in terms of accuracy and efficiency.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Software Engineering
Jie Guo, Xihao Fu, Liqiang Lin, Hengjun Ma, Yanwen Guo, Shiqiu Liu, Ling-Qi Yan
Summary: The paper introduces a neural network called ExtraNet which predicts accurate shading results on an extrapolated frame to improve the performance of real-time rendering applications. It utilizes rendered auxiliary geometry buffers and temporally reliable motion vectors to perform irradiance in-painting and ghosting-free shading prediction tasks simultaneously. The ExtraNet is able to increase frame rates by 1.5x to near 2x with minimized latency, delivering plausible extrapolated frames without noticeable artifacts.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Multidisciplinary Sciences
Yanbao Zhang, Hsin-Pin Lo, Alan Mink, Takuya Ikuta, Toshimori Honjo, Hiroki Takesue, William J. Munro
Summary: Quantum random numbers are distinguishable due to their intrinsic unpredictability and are useful in various applications, with efforts put into their realization. This study demonstrates low-latency real-time certifiable randomness generation from measurements on photonic time-bin states, generating 8192 random bits every 0.12s. The quantum random number generator is suitable for a continuously-operating, high-security, and high-speed quantum randomness beacon.
NATURE COMMUNICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Abdulrahman Mohammed Ahmed Alamer, Sultan Ali Mohammed Basudan, Patrick C. K. Hung
Summary: Many IoT network and security studies focus on designing secure transmission schemes based on cryptographic methodology to protect data, but they often neglect the cost and impact of cryptographic operations on the latency. In this work, a lightweight privacy-preserving scheme is proposed to mitigate the impact of computational cost on transmission latency.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Chunrong He, Guiyan Liu, Songtao Guo, Yuanyuan Yang
Summary: Edge computing and federated learning are popular techniques for privacy protection and efficiency improvement. In this article, a privacy-preserving and low-latency federated learning scheme using an improved Paillier encryption method for parameter transmission is proposed. Extensive experiments demonstrate its accuracy and time-saving efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Theory & Methods
Wenhao Li, Xiao-Yu Zhang, Huaifeng Bao, Binbin Yang, Zhaoxuan Li, Haichao Shi, Qiang Wang
Summary: The article proposes an asymmetric defending scheme called Prism to protect live connection privacy against attacks from temporal network traffic analyzers. Prism extracts standardized temporal features using the Power-Law Division (PLD) algorithm and obtains the fingerprint of each application through the Time-stacked State Transition Model (TSTM). It defends against analyzers through online traffic perturbation.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Information Systems
Qing Liu, Heming Wang, Fangxu Lyu, Geng Zhang, Dongbin Lyu
Summary: This paper proposes a low-latency and low-jitter Retimer circuit based on CDR + PLL architecture for PCIe 6.0, which uses a jitter-canceling filter circuit to eliminate the frequency difference between the retiming clock and data, reducing retiming clock jitter and improving the quality of Retimer output data.
Article
Automation & Control Systems
Parsa Sarosh, Shabir Ahmad Parah, Bilal Ahmad Malik, Mohammad Hijji, Khan Muhammad
Summary: This article presents a cybersecurity framework for medical images in a smart healthcare system. It introduces two novel two-dimensional chaotic maps that generate highly robust cipher images, protecting medical data against cyberattacks. The proposed solution ensures data privacy and a seamless treatment experience.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Hardware & Architecture
Rui Zhang, Lei Zhang, Kim-Kwang Raymond Choo, Tong Chen
Summary: In this article, a one-round dynamic authenticated asymmetric group key agreement with sender non-repudiation and privacy (DAAGKAwSNP) protocol is proposed. The protocol utilizes a batch multi-signature scheme and achieves secrecy under chosen ciphertext attacks. The performance of DAAGKAwSNP is evaluated to demonstrate its utility.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Mengqi Zhan, Yang Li, Guangxi Yu, Yan Zhang, Bo Li, Weiping Wang
Summary: The increasing digital transformation has resulted in more industry data being transmitted over the Internet. However, plaintext packets originally designed for private network transmission face significant security threats on the Internet. Existing encryption schemes like TLS are challenging to apply to industrial protocols due to specific requirements and conditions. This paper introduces GuardBox, a high-performance encryption/decryption middlebox that provides confidentiality and integrity for packets sent/received by industrial equipment. Using commodity trusted hardware and optimized schemes, GuardBox ensures security and low latency for packet transmission over the Internet.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Acoustics
Taihui Wang, Feiran Yang, Nan Li, Chen Zhang, Jun Yang
Summary: This paper proposes a low-latency real-time independent vector analysis (IVA) method using the convolutive transfer function (CTF) to reduce algorithmic latency in highly reverberant environments. It enables direct estimation of dereverberated sources without extra processing. The effectiveness of the method is validated under different reverberation times.
Article
Computer Science, Hardware & Architecture
Leixiao Cheng, Jing Qin, Fei Meng
Summary: This paper analyzes the vulnerability of existing CLPASE schemes to frequency analysis, which compromises user's search privacy. A concrete CLPASE scheme against frequency analysis is proposed, which provides higher guarantee for user's search privacy with comparable efficiency compared to previous schemes.
COMPUTER STANDARDS & INTERFACES
(2024)
