Article
Chemistry, Multidisciplinary
Dominik Reichinger, Erik Sonnleitner, Marc Kurz
Summary: The study focuses on a continuous user authentication system that monitors and records user behaviors for identity verification, enhancing system security and reliability. Experimental results show that using a Hidden Markov Model as a classifier and combining position and accelerometer data can achieve good authentication performance.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Cybernetics
Youngeun Song, Ian Oakley
Summary: This study proposes a novel approach (PushPIN) to enhance the security of smartwatches by combining knowledge-based and behavioral biometric methods. The input is performed by selecting a target and applying pressure, while capturing behavioral biometric features to improve security and usability. The results of the study demonstrate good usability and security performance of the proposed approach.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Artificial Intelligence
Bayan Alharbi, Hanan S. Alshanbari
Summary: Information security has become an integral part of the information technology industry due to advancements in technology. Authentication plays a crucial role in ensuring security, with biometrics-based identification using physiological and behavioral markers. Various systems require reliable personal recognition schemes to validate the identity of users accessing services. This case study proposes an enhanced multimodal biometric authentication system using voice and face recognition, which reduces the equal error rate and achieves better accuracy than previous approaches.
PEERJ COMPUTER SCIENCE
(2023)
Article
Computer Science, Information Systems
Attaullah Buriro, Sandeep Gupta, Artsiom Yautsiukhin, Bruno Crispo
Summary: The paper introduces a risk-driven behavioral biometric-based user authentication scheme for smartphones, offering one-shot-cum-continuous authentication. The scheme enhances security by using touch-timing-differences of entered strokes and hand-movement gestures as biometric traits, while also providing flexibility for users. It does not require a dedicated device for 2-factor authentication and was found to be accurate and acceptable based on user-samples and feedback from testers.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
(2021)
Review
Computer Science, Information Systems
Riseul Ryu, Soonja Yeom, Soo-Hyung Kim, David Herbert
Summary: Building safeguards against illegitimate access and authentication is crucial for system security. Continuous multimodal biometric authentication systems have been proposed as a reliable solution to address the challenges in existing user authentication schemes. However, there is a lack of critical analysis on current progress in the field, highlighting the need for further research and development in this area.
Article
Computer Science, Information Systems
Mohammed Abuhamad, Ahmed Abusnaina, Daehun Nyang, David Mohaisen
Summary: The importance of security and user authentication on mobile devices is increasing, with embedded sensors capturing behavioral biometrics for continuous and implicit user authentication.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Siho Shin, Mingu Kang, Jaehyo Jung, Youn Tae Kim
Summary: This study developed a wearable EMG system for personal authentication, using flexible dry electrodes to avoid issues caused by wet electrodes. By implementing a multi-class support vector machine model, a high personal authentication rate of 87.1% was achieved.
Article
Computer Science, Information Systems
Pin Lyu, Wandong Cai, Yao Wang
Summary: The paper discusses the importance of smartphone authentication and proposes a sensor-based authentication method. By analyzing false-negative samples, the reliability and robustness of existing methods are evaluated and a corresponding defense approach is proposed. The experiment demonstrates the feasibility and effectiveness of the method.
Article
Automation & Control Systems
Juan Manuel Espin Lopez, Alberto Huertas Celdran, Francisco Esquembre, Gregorio Martinez Perez, Javier G. Marin-Blazquez
Summary: This article discusses the use of continuous authentication in industries, especially in Industry 4.0. It explores the issues regarding machine learning models in CA and proposes a supervised versus nonsupervised ML-based CA system. Experiments show that supervised models outperform unsupervised models in terms of precision and performance, and voice data is the most robust dimension.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang
Summary: Mobile authentication using behavioral biometrics is an active research area. Current research relies on machine learning classifiers to recognize unique patterns but lacks discriminative power. Challenges in mobile device implementation include behavioral dynamics, data privacy, and side-channel leaks. To address these challenges, researchers propose a new framework for training on battery-powered mobile devices, ensuring data privacy and adaptability to behavioral patterns. They reformulate the classification problem as deep metric learning to improve discriminative power and design an effective countermeasure to prevent side-channel leaks. Experimental results show high authentication accuracy, robustness against attacks, and feasible training with mobile CPUs, with comparable energy consumption to watching videos and playing games.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Linghan Zhang, Sheng Tan, Yingying Chen, Jie Yang
Summary: Voice biometrics has gained attention for user authentication on smart devices, but is vulnerable to replay attacks. VoiceGesture, a liveness detection solution, leverages the built-in speaker and microphone pairs on smart devices to detect articulatory gestures for authentication. It achieves high detection accuracy and is robust to different device placements and low audio sampling frequency.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Praveen Kumar Rayani, Suvamoy Changder
Summary: This article reviews the progress and challenges in continuous authentication of smartphones, including available datasets and literature. It also discusses attacks on behavioral biometrics of smartphones and suggests future directions for research.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Kamil Adam Kaminski, Andrzej Piotr Dobrowolski, Zbigniew Piotrowski, Przemyslaw Scibiorek
Summary: This paper presents a voice biometrics system implemented in a web application for two-factor authentication user login. It provides a detailed description of the system's internal modules, performance testing, and parameter adjustment, exploring the effectiveness and applicability of the system.
Article
Computer Science, Information Systems
Feriel Cherifi, Mawloud Omar, Kamal Amroun
Summary: This paper proposes a new efficient continuous authentication scheme based on prehensile movements, modeled using HMM-UBM and GMM. The experimental results demonstrate the great potential of prehensile movements, allowing users to be authenticated continuously, passively, and in real time.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2021)
Article
Automation & Control Systems
Chang-Yi Kao, Hao-En Chueh
Summary: The study aims to apply voice recognition technology to speech-driven questionnaire system, upgrading it to an intelligent network for more accurate CRM data and localized promotion. The framework proposed uses voice recognition and intelligent analysis models to identify target customers through intelligent voice system. The study suggests methods to improve endpoint detection errors by filtering noise and removing test utterances that may affect recognition results, resulting in high recognition rates.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Chen Chen, Gang Zhou, Youfang Lin
Summary: The rapid development of wireless sensing based on Channel State Information (CSI) with WiFi devices has been observed in recent years. WiFi sensing has shown great potential in detection, recognition, and estimation applications. However, the challenge of ensuring sensing performance when exposing a pre-trained system to new domains without data collection and system retraining remains. This survey provides a comprehensive review of cross-domain WiFi sensing research efforts, including mathematical models of CSI, impact of different domains on CSI, and various algorithms for achieving high sensing accuracy in new domains.
ACM COMPUTING SURVEYS
(2023)
Article
Genetics & Heredity
Gang Zhou, Ying-si Wang, Hong Peng, Su-juan Li, Ting-li Sun, Cai-ling Li, Qing-shan Shi, Xiao-bao Xie
Summary: This study reveals the importance of the ompX gene in Citrobacter werkmanii, showing that its deletion affects biofilm formation, swimming ability, susceptibility to bactericides, and response to calcium and magnesium stress. The ompX gene also interacts with other genes and is involved in various biological functions. This research provides valuable insights into controlling biofilm formation and developing new bactericides.
Article
Clinical Neurology
Zhiming Kang, Lishuo Wu, Dong Sun, Gang Zhou, Xiangbo Wu, Han Qiu, Bin Mei, Junjian Zhang
Summary: This study retrospectively evaluated the association between hyperdense middle cerebral artery sign (HMCAS) on pretreatment no-contrast CT (NCCT) and hemorrhagic transformation (HT) after endovascular thrombectomy (EVT). It found that proximal HMCAS on initial NCCT was independently associated with aHT in patients who received EVT for acute middle cerebral artery (MCA) occlusion. Both aHT and sHT had a detrimental effect on clinical outcome.
JOURNAL OF NEUROLOGY
(2023)
Article
Biochemical Research Methods
Gang Zhou, Ying-si Wang, Hong Peng, Su-juan Li, Ting-Ii Sun, Qing-shan Shi, Jordi Garcia-Ojalvo, Xiao-bao Xie
Summary: Our study reveals that the combination of BIT and EDTA-2Na induces consistent protein expression alteration in a set of core proteins of C. werkmanii, which underlies a strong synergistic antimicrobial effect. This increases our understanding of the action modes of BIT and EDTA-2Na as well as their combinations.
JOURNAL OF PROTEOMICS
(2023)
Article
Biotechnology & Applied Microbiology
Gang Zhou, Ying-Si Wang, Hong Peng, Hui-Zhong Liu, Jin Feng, Su-Juan Li, Ting-Li Sun, Cai-Ling Li, Qing-Shan Shi, Xiao-bao Xie
Summary: This study investigated the phenotypic changes of increment ompF in C. werkmanii by knocking out the ompF gene. The results showed that increment ompF reduced the swimming ability and biofilm formation of the strain, and induced different osmotic stress responses. Moreover, OmpF was found to be involved in maltose transport and negatively regulated by MalT.
WORLD JOURNAL OF MICROBIOLOGY & BIOTECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Yantao Li, Jiaxing Luo, Shaojiang Deng, Gang Zhou
Summary: Mobile devices have become increasingly important in our daily lives, highlighting the need for device security and privacy protection. This article presents SearchAuth, a novel continuous authentication system on smartphones that leverages sensor data to capture user behavioral patterns. Using neural architecture search and auto augmentation search, SearchAuth optimizes network architecture and data augmentation policies to train a model for feature extraction. Experimental results demonstrate that SearchAuth outperforms representative authentication schemes, achieving the best accuracy, F1-score, and EER.
ACM TRANSACTIONS ON SENSOR NETWORKS
(2023)
Article
Chemistry, Physical
Weixiang Tao, Peifang Wang, Hao Li, Rong Huang, Gang Zhou
Summary: Controllable defects of traditional semiconductor electrocatalytic materials are important for improving the activity of nitrate reduction reaction. By regulating the sulfur vacancies content, Ni3Co6S8 achieved outstanding selectivity and yield rate for electrocatalytic nitrate reduction to ammonia.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2023)
Article
Chemistry, Physical
Chongchong Liu, Haili Tong, Peifang Wang, Rong Huang, Peilin Huang, Gang Zhou, Lizhe Liu
Summary: This study utilized the synergistic effect between asymmetrical sites to reduce the coupling barrier and promote urea production, providing potential opportunities for substituting traditional urea synthesis with electrocatalytic reduction of nitrate and carbon dioxide.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2023)
Article
Engineering, Chemical
Chongchong Liu, Lijing Wang, Peifang Wang, Peilin Huang, Zhimin Yang, Gang Zhou
Summary: In this study, CoxNi3-xS2-V nanoparticles were synthesized and immobilized on nickel foams for peroxymonosulfate (PMS) activation, achieving high selectivity of singlet oxygen (1O2) activation. The Co0.50Ni2.50S2-V sample showed the highest kinetic constant (0.2236 min⁻¹) and excellent resistance to environmental factors, effectively mineralizing ciprofloxacin. Quantitative tests confirmed that 1O2 was the dominant active species, with a non-radical activation proportion of 86.91%. Theoretical calculations revealed that this precise regulation pathway was attributed to the adjustment of adsorption state and the reduction of Gibbs free energy for *O (transition state) and *1O2 production. This research provides valuable insights into selective regulation of 1O2 for efficient and sustainable wastewater remediation.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Review
Microbiology
Gang Zhou, Qian Wang, Yingsi Wang, Xia Wen, Hong Peng, Ruqun Peng, Qingshan Shi, Xiaobao Xie, Liangqiu Li
Summary: This review examines the properties and interactions of five common outer membrane proteins (Omps), including OmpA, OmpC, OmpF, OmpW, and OmpX, in relation to porin-mediated permeability in gram-negative bacteria. It also highlights the discovered regulatory characteristics and identified molecular mechanisms in antibiotic penetration through Omps. Uncovering the functional properties of Omps will pave the way for investigating effective agents or approaches that use Omps as targets to eliminate resistant gram-negative bacteria.
Article
Microbiology
Yunqi Zhu, Tong Liu, Yingsi Wang, Guojun Chen, Xiang Fang, Gang Zhou, Jie Wang
Summary: This study demonstrated the important functions of ChsA, a class II chitin synthase, in Aspergillus niger. The deletion of chsA resulted in severe defects in conidiation and mycelial morphology, as well as reduced growth under cell wall-disturbing and oxidative stresses. ChsA also played a role in regulating the production of malic acid, enzymes, and citric acid in A. niger.
Proceedings Paper
Computer Science, Cybernetics
Shuangquan Wang, Gang Zhou
Summary: Automatic walking surface detection using motion sensors near the ankle can distinguish between different walking surfaces and achieve high accuracy for detecting dragging feet while walking.
2023 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES, CHASE
(2023)
Proceedings Paper
Computer Science, Cybernetics
Minglong Sun, Woosub Jung, Kenneth Koltermann, Gang Zhou, Amanda Watson, Ginamari Blackwell, Noah Helm, Leslie Cloud, Ingrid Pretzer-Aboff
Summary: People with Parkinson's Disease (PD) often experience multiple symptoms, such as freezing of gait, hand tremors, speech difficulties, and balance issues. Hand tremors are present in all stages of the disease and have a significant impact on the quality of life for PD patients. This paper introduces a method to detect PD hand tremors using wearable devices and machine learning models. The proposed method achieved over 90% accuracy in detecting tremors, with Support Vector Machines (SVMs) performing the best.
2023 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES, CHASE
(2023)
Proceedings Paper
Computer Science, Cybernetics
Kenneth Koltermann, Woosub Jung, GinaMari Blackwell, Abbott Pinney, Matthew Chen, Leslie Cloud, Ingrid Pretzer-Aboff, Gang Zhou
Summary: Freezing of gait (FoG) is a severe symptom of Parkinson's disease that poses a risk of falling and reduces quality of life. Current clinical treatments and real-time systems fail to effectively address the fall risk and have high false positive rates. In response, we developed FoGFinder, a non-intrusive, real-time FoG detection and treatment system, which achieved significant improvements in accuracy, reducing false positives and latency compared to existing systems.
2023 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES, CHASE
(2023)
Article
Engineering, Environmental
Weixiang Tao, Peifang Wang, Bin Hu, Xun Wang, Gang Zhou
Summary: A simple hydrothermal technology is used to replace the O ions in NiCo2O4 (NCO) with S ions, forming NiCo2S4 (NCS), which enhances the ammonia yield and selectivity. This work provides a new insight into accelerating the electrocatalytic activity by regulating the orbital interaction between anions and cations.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
