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An Integration Testing Framework and Evaluation Metric for Vulnerability Mining Methods

China Communications 2018年第2期15卷 190-208页

作者： Jin Li Jinfu Chen Minhuan Huang Minmin Zhou Wanggen Xie Zhifeng Zeng Shujie Chen Zufa Zhang National key laboratory of science and technology on information system security Beijing institute of system engineering School of Computer Science and Communication Engineering Jiangsu University

Software an important way to vulnerability mining is detect whether there are some loopholes existing in the software, and also is an important way to ensure the secu- rity of information systems. With the rapid development of information technology and software industry, most of the software has not been rigorously tested before being put in use, so that the hidden vulnerabilities in software will be exploited by the attackers. Therefore, it is of great significance for us to actively de- tect the software vulnerabilities in the security maintenance of information systems. In this paper, we firstly studied some of the common- ly used vulnerability detection methods and detection tools, and analyzed the advantages and disadvantages of each method in different scenarios. Secondly, we designed a set of eval- uation criteria for different mining methods in the loopholes evaluation. Thirdly, we also proposed and designed an integration testing framework, on which we can test the typical static analysis methods and dynamic mining methods as well as make the comparison, so that we can obtain an intuitive comparative analysis for the experimental results. Final- ly, we reported the experimental analysis to verify the feasibility and effectiveness of the proposed evaluation method and the testingframework, with the results showing that the final test results will serve as a form of guid- ance to aid the selection of the most appropri- ate and effective method or tools in vulnera- bility detection activity.

关键词： software vulnerability detection loopholes information security evaluationmethod testing framework

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Development of Elliptical Cryptography Technique to Watermark Embedded and Extrusion for Healthcare Records 2nd

Development of Elliptical Cryptography Technique to Watermar...

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2nd International Conference on Cyber Warfare, Security and Space Computing, SpacSec 2024

作者： Hegde, N. Prajwal Sivaraman, R. Dharmamoorthy, G. Dubey, Ankit Kumar Patro, Pramoda Mary, S. Suma Christal Department of Artificial Intelligence and Data Science NMAM Institute of Technology Nitte Deemed to be University Karkala India Department of Mathematics Dwaraka Doss Goverdhan Doss Vaishnav College Arumbakkam Tamil Nadu Chennai India Department of Pharmaceutical Analysis MB School of Pharmaceutical Sciences Mohan Babu University Tirupati Rangampeta India Department of Computer Science and Engineering Baderia Global Institute of Engineering and Management MP Jabalpur India Department of Mathematics Koneru Lakshmaiah Education Foundation Hyderabad India Department of Information Technology Panimalar Engineering College Poonamalle Chennai India

ISBN: (纸本)9783031734939

An application of E-healthcare watermarking method based on a hybridization of encryption as well as compression algorithms is proposed as the primary goal of this work. One step involves inserting a watermark into the image, and the other involves removing it. These are the two main components of the suggested system. Before beginning the embedding procedure, use a region-growing method to segment the tumour independently. Hash Secure Algorithm-256 encrypt the electronic health record (EHR) and Elliptical curve cryptography and its associated area of interest. Mathematical coding algorithms are then used to concatenate and compress the data. Lastly, the packed down bit is embedded into the original picture. When extracting a substance, the same steps are conducted again. Using the maximum signal ratio to noisy and normalized correlation, the experimental outcomes for various medicinal photos using EHR are shown, and the efficacy of the suggested method is evaluated. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Electronic health record

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YOLO-CORE: Contour Regression for Efficient Instance Segmentation

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Machine Intelligence Research 2023年第5期20卷 716-728页

作者： Haoliang Liu Wei Xiong Yu Zhang School of Computer Science and Engineering and the Key Laboratory of Computer Network and Information Integration(Ministry of Education) Southeast UniversityNanjing 211189China

Instance segmentation has drawn mounting attention due to its significant ***,high computational costs have been widely acknowledged in this domain,as the instance mask is generally achieved by pixel-level *** this paper,we present a conceptually efficient contour regression network based on the you only look once(YOLO)architecture named YOLO-CORE for instance *** mask of the instance is efficiently acquired by explicit and direct contour regression using our designed multiorder constraint consisting of a polar distance loss and a sector *** proposed YOLO-CORE yields impressive segmentation performance in terms of both accuracy and *** achieves 57.9%AP@0.5 with 47 FPS(frames per second)on the semantic boundaries dataset(SBD)and 51.1%AP@0.5 with 46 FPS on the COCO *** superior performance achieved by our method with explicit contour regression suggests a new technique line in the YOLO-based image understanding ***,our instance segmentation design can be flexibly integrated into existing deep detectors with negligible computation cost(65.86 BFLOPs(billion float operations per second)to 66.15 BFLOPs with the YOLOv3 detector).

关键词： computer vision instance segmentation object shape prediction contour regression polar distance.

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Identification of Suspect Using Transformer and Cosine Similarity Model for Forensic Voice Comparison

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Security and Privacy 2025年第3期8卷

作者： Kruthika, S.G. Nagavi, Trisiladevi C. Mahesha, P. Chethana, H.T. Ravi, Vinayakumar Al Mazroa, Alanoud Department of Computer Science and Engineering S. J. College of Engineering JSS Science and Technology University Karnataka Mysore India Department of Computer Science & Engineering Vidyavardhaka College of Engineering Mysore India Center for Artificial Intelligence Prince Mohammad Bin Fahd University Khobar Saudi Arabia Department of Information Systems College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia

Forensic voice comparison (FVC) is a crucial area within forensic science, focused on analyzing and comparing voice recordings to identify speakers. Traditional FVC methods often involve manual analysis and subjective interpretation, which can limit both efficiency and accuracy. In recent years, there has been increasing interest in leveraging advanced machine learning techniques to enhance the capabilities of FVC. This study explores the application of a semi-automated approach using the Transformer model in FVC, with the goal of improving the accuracy and efficiency of speaker identification. The research utilizes pre-processed forensic voice trace data in Free Lossless Audio Codec (.flac) format, along with suspect or mugshot voice samples collected by forensic experts. The Transformer model, specifically Wav2Vec 2.0, is employed for feature extraction and classification. The model processes these voice samples, using its encoder to extract relevant features and its decoder to classify the data based on cosine similarity. A threshold is applied to the cosine similarity index to determine the degree of match, with higher values indicating a stronger match. Experimental results demonstrate the effectiveness of this semi-automated Transformer-based approach for FVC. The similarity index achieved during testing ranged from 0.9970 to 0.9995, indicating the model's high accuracy in predicting speaker similarity. The identification process is further validated using performance metrics such as a confusion matrix, histogram, and scatter plot. This study highlights the potential of Transformer models to significantly advance the field of forensic voice comparison, offering more precise and reliable speaker identification. © 2025 John Wiley & Sons Ltd.

关键词： computer forensics

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A V2I communication-based pipeline model for adaptive urban traffic light scheduling

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Frontiers of computer science 2019年第5期13卷 929-942页

作者： Libing WU Lei NIE Samee U. KHAN Osman KHALID Dan WU School of Cyber Science and Engineering Wuhan University Wuhan 430072 China School of Computer Science Wuhan University Wuhan 430072 China School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Department of Electrical and Computer Engineering North Dakota State University Fargo USA COMS ATS Institute of Information Technology Islamabad Pakistan School of Computer Science University of Windsor Windsor Ontario Canada

Adaptive traffic light scheduling based on realtime traffic information processing has proven effective for urban traffic congestion management. However, fine-grained information regarding individual vehicles is difficult to acquire through traditional data collection techniques and its accuracy cannot be guaranteed because of congestion and harsh environments. In this study, we first build a pipeline model based on vehicle-to-infrastructure communication, which is a salient technique in vehicular adhoc networks. This model enables the acquisition of fine-grained and accurate traffic information in real time via message exchange between vehicles and roadside units. We then propose an intelligent traffic light scheduling method (ITLM) based on a “demand assignment” principle by considering the types and turning intentions of vehicles. In the context of this principle, a signal phase with more vehicles will be assigned a longer green time. Furthermore, a green-way traffic light scheduling method (GTLM) is investigated for special vehicles (e.g., ambulances and fire engines) in emergency scenarios. Signal states will be adjusted or maintained by the traffic light control system to keep special vehicles moving along smoothly. Comparative experiments demonstrate that the ITLM reduces average wait time by 34%-78% and average stop frequency by 12%-34% in the context of traffic management. The GTLM reduces travel time by 22%^44% and 30%-55% under two types of traffic conditions and achieves optimal performance in congested scenarios.

关键词： traffic light scheduling vehicular ad hoc networks pipeline model vehicle-to-infrastructure communication intersection

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Universal enzymatic numerical P systems with small number of enzymatic variables

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science China(information sciences) 2018年第9期61卷 38-49页

作者： Zhiqiang ZHANG Tingfang WU ANDrei P■UN Linqiang PAN Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Department of Computer Science Faculty of Mathematics and Computer ScienceUniversity of Bucharest Bioinformatics Department National Institute of Research and Development for Biological Sciences School of Electric and Information Engineering Zhengzhou University of Light Industry

Numerical P systems(for short, NP systems) are distributed and parallel computing models inspired from the structure of living cells and economics. Enzymatic numerical P systems(for short, ENP systems) are a variant of NP systems, which have been successfully applied in designing and implementing controllers for mobile robots. Since ENP systems were proved to be Turing universal, there has been much work to simplify the universal systems, where the complexity parameters considered are the number of membranes, the degrees of polynomial production functions or the number of variables used in the *** the number of enzymatic variables, which is essential for ENP systems to reach universality, has not been investigated. Here we consider the problem of searching for the smallest number of enzymatic variables needed for universal ENP systems. We prove that for ENP systems as number acceptors working in the all-parallel or one-parallel mode, one enzymatic variable is sufficient to reach universality; while for the one-parallel ENP systems as number generators, two enzymatic variables are sufficient to reach *** results improve the best known results that the numbers of enzymatic variables are 13 and 52 for the all-parallel and one-parallel systems, respectively.

关键词： bio-inspired computing numerical P system mobile robot membrane controller universality

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Multi-view dimensionality reduction via canonical random correlation analysis

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Frontiers of computer science 2016年第5期10卷 856-869页

作者： Yanyan ZHANG Jianchun ZHANG Zhisong PAN Daoqiang ZHANG College of Command Information Systems PLA University of Science and Technology Nanjing 210007 China Department of Computer Science and Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

Canonical correlation analysis （CCA） is one of the most well-known methods to extract features from multi- view data and has attracted much attention in recent years. However, classical CCA is unsupervised and does not take discriminant information into account. In this paper, we add discriminant information into CCA by using random cross- view correlations between within-class samples and propose a new method for multi-view dimensionality reduction called canonical random correlation analysis （RCA）. In RCA, two approaches for randomly generating cross-view correlation samples are developed on the basis of bootstrap technique. Furthermore, kernel RCA （KRCA） is proposed to extract nonlinear correlations between different views. Experiments on several multi-view data sets show the effectiveness of the proposed methods.

关键词： canonical correlation analysis discriminant,multi-view dimensionality reduction

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Progressive secret image sharing based on Boolean operations and polynomial interpolations

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Multimedia systems 2024年第4期30卷 1-14页

作者： Chen, Hao Xiong, Lizhi Yang, Ching-Nung School of Computer Science Nanjing University of Information Science and Technology Jiangsu Nanjing China Department of Computer Science & amp Information Engineering National Dong Hwa University Hualien Taiwan

With the expansion of network bandwidth and the rise of social networks, image sharing on open networks has become a trend. The ensuing privacy leakage events have aroused widespread concerns. Therefore, image sharing that protects privacy is desired. Progressive Secret Image Sharing (PSIS), a multilevel privacy protection technology for images, offers a promising solution. However, the progressivity of the majority of PSIS schemes depends on the preprocessing of a secret image, which increases the calculation costs. In addition, a block-based PSIS may have information leakage security risks when processing highly confidential images. Many existing PSIS schemes use a single operation to share secret images, which makes the schemes inflexible and limits the application scenarios. Therefore, we propose a PSIS based on Boolean operations and Polynomial interpolations (PSIS-BP). The proposed scheme divides the bit-plane of the pixel into two parts. One part is utilized to perform the Boolean operation, and the other part is used to perform the polynomial interpolation. Different assignment strategies can produce different progressive reconstruction levels and expand the application scenarios of the scheme. Theoretical analyses and experimental results demonstrate that the proposed scheme is secure, low-cost, and flexible. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Polynomials

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Nonnegative Matrix Tri-Factorization Based Clustering in a Heterogeneous information Network with Star Network Schema

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Tsinghua science and Technology 2022年第2期27卷 386-395页

作者： Juncheng Hu Yongheng Xing Mo Han Feng Wang Kuo Zhao Xilong Che the College of Computer Science and Technology Jilin UniversityChangchun 130012China the School of Intelligent Systems Science and Engineering Jinan UniversityZhuhai 519070China

Heterogeneous information Networks(HINs)contain multiple types of nodes and edges;therefore,they can preserve the semantic information and structure *** analysis using an HIN has obvious advantages over a transformation into a homogenous information network,which can promote the clustering results of different types of *** our study,we applied a Nonnegative Matrix Tri-Factorization(NMTF)in a cluster analysis of multiple metapaths in *** the parameter estimation method of the probability distribution in previous studies,NMTF can obtain several dependent latent variables simultaneously,and each latent variable in NMTF is associated with the cluster of the corresponding node in the *** method is suited to co-clustering leveraging multiple metapaths in HIN,because NMTF is employed for multiple nonnegative matrix factorizations simultaneously in our *** results on the real dataset show that the validity and correctness of our method,and the clustering result are better than that of the existing similar clustering algorithm.

关键词： heterogeneous information network data mining clustering nonnegative matrix tri-factorization

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Improving students’programming quality with the continuous inspection process:a social coding perspective

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Frontiers of computer science 2020年第5期14卷 43-60页

作者： Yao Lu Xinjun Mao Tao Wang Gang Yin Zude Li College of Computer National University of Defense TechnologyChangsha410073China Key Laboratory of Software Engineering for Complex Systems Changsha410073China School of Information Science and Engineering Central South UniversityChangsha410012China

College students majoring in computer science and software engineering need to master skills for high-quality ***,rich research has shown that both the teaching and learning of high-quality programming are challenging and deficient in most college education ***,the continuous inspection paradigm has been widely used by developers on social coding sites(e.g.,GitHub)as an important method to ensure the internal quality of massive code *** paper presents a case where continuous inspection is introduced into the classroom setting to improve students’programming *** the study,we first designed a specific continuous inspection process for students’collaborative projects and built an execution environment for the *** then conducted a controlled experiment with 48 students from the same course during two school years to evaluate how the process affects their programming *** results show that continuous inspection can help students in identifying their bad coding habits,mastering a set of good coding rules and significantly reducing the density of code quality issues introduced in the ***,we describe the lessons learned during the study and propose ideas to replicate and improve the process and its execution platform.

关键词： continuous inspection programming quality SonarQube

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