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IEEE/OES China Ocean Acoustics (COA)

作者： Weilu Liu Tian Zhou Baowei Chen Weidong Du Acoustic Science and Technology Laboratory Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University) Ministry of Industry and Information Technology Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

Interferometric phase filters are the cornerstone of sonar for high-precision interferometry. This study focuses on the use of interferometric phase filter for forward-looking sonar, proposing an adaptive short-time Fourier transform filtering algorithm from the perspective of a frequency domain. The algorithm analyzes the image characteristics of forward-looking sonar and proposes a two-dimensional Chebyshev-Kaiser window. The window is determined by the signal-to-noise ratio of the interferogram so that the phase filter can dynamically adjust the filter intensity. The filter reduces interferometric phase noise, thus improving the accuracy of forward-looking sonar interferometric measurement. Simulation experiment and lake experiment show that the filter proposed in this study eliminates over 95% of residues, providing reliable data support for subsequent interferometric phase unwrapping and underwater elevation models.

关键词： Phase noise Adaptation models Filters Sonar measurements Sonar Adaptive filters Sea measurements Reliability Interferometry Signal to noise ratio

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Mining minimal failure-causing schema for software complex configuration space

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International Journal of Performability Engineering 2019年第12期15卷 3253-3261页

作者： Wei, Liangfen Li, Yong Wang, Yong Chen, Xiangyu Xu, Zhaohui Department of Computer Engineering Anhui Sanlian University Hefei23060 China Ministry of Industry and Information Technology Nanjing210000 China Data Security Key Laboratory Xinjiang Normal University Urumqi830054 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing210000 China School of Computer and Information Anhui Polytechnic University Wuhu241000 China Co. LTD. Shanghai201100 China

Minimal failure-causing schema (MFS) may be affected by masking effects in software complex configuration space. A method for mining MFS based on combination testing and its testing results is proposed. The method firstly constructs a combination-fault tree (CFF-tree) based on the combined test suite and its results, extracts the frequent parameter-value-combinations from the tree as suspicious MFS and calculates their suspiciousness scores, and finally sorts them according to their suspicious scores. Though an iterative framework, MFS is repeatedly mined and checked by programmers until a certain stopping criterion is satisfied. Simulation experiments are used to validate the effectiveness of our method with and without masking effects. The experimental results show that the proposed method can mine MFS in the two scenarios and effectively reduce the number of additional test cases. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Iterative methods

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Frequency Dependence of Acoustic Energy Tobogganing in the Upslope Waveguide of the Continental Shelf Slope

SSRN

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SSRN 2024年

作者： Xie, Jinhuai Zhang, Haigang Zhang, Minghui Gong, Lijia Ma, Zhikang National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin150001 China Key Laboratory of Marine Information Acquisition and Security of Ministry of Industry and Information Technology Harbin Engineering University Harbin150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China

Conducting research on sound propagation in the environment of the continental shelf slope is of significant importance for target detection in complex marine areas. We investigate the sound transmission loss (TL) in the frequency band 40~200 Hz based on measurement data of sound propagation in upslope waveguides on continental shelf slopes. The data show that the acoustic energy tobogganing at the top of the slope weakens with decreasing frequency, with an apparent frequency dependence. A natural waveguide environment model was set up to calculate the frequency dependence of acoustic propagation. The results show the relationship between the layered seabed and the frequency dependence of the acoustic energy. Finally, the influence of the layered seabed parameters on the frequency dependence of the acoustic energy is analyzed in conjunction with the upslope topography of the continental slope. It is pointed out that the sediment layer thickness and the substrate sound speed in the layered seabed are the main factors influencing the phenomenon of acoustic energy tobogganing. In contrast, the contribution of the seabed absorption coefficient to the frequency dependence can be largely ignored. © 2024, The Authors. All rights reserved.

关键词： Topography

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Characteristics of Cross-Correlation Function for Receivers at Large Depths and its Application on Broadband Pulse Source Localization

SSRN

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SSRN 2023年

作者： Li, Ziyang Piao, Shengchun National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin150001 China Key Laboratory of Marine Information Acquisition and Security Harbin Engineering University Ministry of Industry and Information Technology Harbin150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China

The characteristics of cross-correlation function for two receivers at different depths in deep sea are analyzed. For the receivers near the surface, peaks in the cross-correlation function are close to the main peak, which is difficult to be distinguished, and their positions change minor with variation in source range and depth. While at large depths, the peaks beyond the main peak are separate and more apart from the main peak when source range decreases, source depth increases or water depth increases. The impact of variations in vertical sound speed profile on peak positions of cross-correlation function is relatively minor. Based on these characteristics, a method of cross-correlation function matching is proposed for broadband source range and depth estimation with two receivers at large depths. The accuracy of the proposed method is validated through simulation analysis and sea experimental data processing. © 2023, The Authors. All rights reserved.

关键词： data handling

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A Strategy of Small Files Caching Based on Access Temperature

A Strategy of Small Files Caching Based on Access Temperatur...

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IEEE International Conference on Software Engineering and Service Sciences (ICSESS)

作者： Songfu Tan Ligu Zhu Dongyu Feng Department of Computer Communication University of China Beijing Key Laboratory of Big Data in Security & Protection Industry Beijing Beijing Province China China Academy of Electronics and Information Technology Beijing Beijing Province China

ISBN: (纸本)9781538665664;9781538665657

Large-scale random access to small files can cause some hot data that are accessed much more frequently than others. How to promote hot data access becomes the key to improve the overall performance of the storage system. Considering reading more than writing to small files and the time locality and frequency dynamics of small files access, this paper proposes a caching strategy based on access temperature and introduces a temperature factor model to fulfill time-dependent dynamic management of file access frequency. On this basis, the management of cache memory and cache replacement is used to achieve efficient caching of hot files. Experimental results show that the strategy based on access heat could improve the access performance of massive files.

关键词： Heating systems Memory management Time-frequency analysis Cats Cooling Temperature distribution

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Sparse Bayesian Learning Underwater Source Localization Method Based on Matched Beam

Sparse Bayesian Learning Underwater Source Localization Meth...

引用

Electrical, Automation and Computer Engineering (ICEACE), International Conference on

作者： Qingji Li Xiao Han Guangping Zhu Zexun Wei Acoustic Science and Technology Laboratory Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition Security (Harbin Engineering University) Ministry of Industry and Information Technology Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China First Institute of Oceanography Ministry of Natural Resources Qingdao China

In recent years, compressed sensing algorithms have received great attention in underwater passive source localization, but the classic sparse Bayesian learning localization method does not take into account the situation of environmental mismatch. To solve this problem, this paper proposes sparse Bayesian learning underwater source localization method based on matched beam (MBP-SBL). The method converts the pressure data received by the array into the beam domain through beamforming technology, and improves its robustness and resolution through beam filtering and sparse iteration in the beam domain. Simulation data and sea trial data in north Elba island are used to verify the proposed method. The results show that, compared with the classical Bartlett, MBP, MV-EPC and MFP-SBL methods, the method proposed in this paper is more tolerant to environmental mismatch while ensuring the localization result of high resolution and low side lobe.

关键词：

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KA$^{2}$2SE: key-Aggregation Authorized Searchable Encryption Scheme for data Sharing in Wireless Sensor Networks

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IEEE Transactions on Services Computing 2024年第1期18卷 226-238页

作者： Haijiang Wang Jianting Ning Wei Wu Chao Lin Kai Zhang School of Information and Electronic Engineering Zhejiang University of Science and Technology Zhejiang China School of Cyber Science and Engineering Wuhan University Wuhan China Faculty of Data Science City University of Macau Macau China College of Education Sciences Hong Kong University of Science and Technology Guangzhou China Fujian Provincial Key Laboratory of Network Security and Cryptology College of Computer and Cyber Security Fujian Normal University Fuzhou China Guangdong Key Laboratory of Blockchain Security Guangzhou University Guangzhou China College of Computer Science and Technology Shanghai University of Electric Power Shanghai China

As a promising technology, key-aggregation searchable encryption with constant computation overhead is especially suitable for sensor nodes with limited computation resources in wireless sensor networks. However, in most of the existing key-aggregation searchable encryption schemes, the authorized aggregation key is generated in a deterministic way. As a result, these schemes suffer from “ key Forge Attack ” and “ Trapdoor Forge Attack ” that we proposed and hence fail to support the security property as they claimed (which is an important goal to be achieved in key-aggregation searchable encryption schemes). To fix these flaws, in this paper, we identify the security challenges related to key-aggregation searchable encryption and propose a lightweight key-aggregation authorized searchable encryption scheme based on attribute-based encryption, called KA $^security$ SE. It enables a data owner to share encrypted data with an authorized query user by issuing only a single authorized aggregation key, and the authorized query user only needs to submit a single trapdoor to the cloud server to perform keyword search. We formulate the security definitions for KA $^security$ SE and prove its security. Finally, empirical evaluations demonstrate that KA $^security$ SE is computationally efficient in comparison with existing schemes.

关键词： Encryption Cryptography keyword search Wireless sensor networks Servers Privacy Cloud computing security Probabilistic logic Authorization

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Ppt4j: Patch Presence Test for Java Binaries

Ppt4j: Patch Presence Test for Java Binaries

引用

International Conference on Software Engineering (ICSE)

作者： Zhiyuan Pan Xing Hu Xin Xia Xian Zhan David Lo Xiaohu Yang The State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou China Software Engineering Application Technology Lab Huawei Hangzhou China The Hong Kong Polytechnic University Hong Kong China School of Computing and Information Systems Singapore Management University Singapore

ISBN: (数字)9798400702174

ISBN: (纸本)9798350382143

The number of vulnerabilities reported in open source software has increased substantially in recent years. security patches provide the necessary measures to protect software from attacks and vulnerabilities. In practice, it is difficult to identify whether patches have been integrated into software, especially if we only have binary files. Therefore, the ability to test whether a patch is applied to the target binary, a.k.a. patch presence test, is crucial for practitioners. However, it is challenging to obtain accurate semantic information from patches, which could lead to incorrect results. In this paper, we propose a new patch presence test framework named Ppt4j (Patch Presence Test forJava Binaries). Ppt4j is designed for open-source Java libraries. It takes Java binaries (i.e. bytecode files) as input, extracts semantic information from patches, and uses feature-based techniques to identify patch lines in the binaries. To evaluate the effectiveness of our proposed approach Ppt4j, we construct a dataset with binaries that include 110 vulnerabilities. The results show that Ppt4j achieves an F1 score of 98.5% with reasonable efficiency, improving the baseline by 14.2%. Furthermore, we conduct an in-the-wild evaluation of Ppt4j on JetBrains IntelliJ IDEA. The results suggest that a third-party library included in the software is not patched for two CVEs, and we have reported this potential security problem to the vendor.

关键词： Java Semantics Feature extraction Libraries security Software measurement data mining

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Towards Unified Token Learning for Vision-Language Tracking

arXiv

引用

arXiv 2023年

作者： Zheng, Yaozong Zhong, Bineng Liang, Qihua Li, Guorong Ji, Rongrong Li, Xianxian The Key Laboratory of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin541004 China The Guangxi Key Laboratory of Multi-Source Information Mining and Security Guangxi Normal University Guilin541004 China The School of Computer Science and Technology Key Laboratory of Big Data Mining and Knowledge Management University of Chinese Academy of Sciences Beijing100049 China Media Analytics and Computing Lab Department of Artificial Intelligence School of Informatics Xiamen University 361005 China

In this paper, we present a simple, flexible and effective vision-language (VL) tracking pipeline, termed MMTrack, which casts VL tracking as a token generation task. Traditional paradigms address VL tracking task indirectly with sophisticated prior designs, making them over-specialize on the features of specific architectures or mechanisms. In contrast, our proposed framework serializes language description and bounding box into a sequence of discrete tokens. In this new design paradigm, all token queries are required to perceive the desired target and directly predict spatial coordinates of the target in an auto-regressive manner. The design without other prior modules avoids multiple sub-tasks learning and hand-designed loss functions, significantly reducing the complexity of VL tracking modeling and allowing our tracker to use a simple cross-entropy loss as unified optimization objective for VL tracking task. Extensive experiments on TNL2K, LaSOT, LaSOText and OTB99-Lang benchmarks show that our approach achieves promising results, compared to other state-of-the-arts. Copyright © 2023, The Authors. All rights reserved.

关键词： Modeling languages

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DIGITAL PRIVACY UNDER ATTACK: CHALLENGES AND ENABLERS

arXiv

引用

arXiv 2023年

作者： Song, Baobao Deng, Mengyue Pokhrel, Shiva Raj Lan, Qiujun Doss, Robin Li, Gang Hunan Key Laboratory of Data Science & Blockchain Business School Hunan University Changsha410082 China School of Information Technology Deakin University GeelongVIC3216 Australia Center for Cyber Security Research and Innovation Deakin University GeelongVIC3216 Australia

Users have renewed interest in protecting their private data in the digital space. When they don’t believe that their privacy is sufficiently covered by one platform, they will readily switch to another. Such an increasing level of privacy awareness has made privacy preservation an essential research topic. Nevertheless, new privacy attacks are emerging day by day. Therefore, a holistic survey to compare the discovered techniques on attacks over privacy preservation and their mitigation schemes is essential in the literature. We develop a study to fill this gap by assessing the resilience of privacy-preserving methods to various attacks and conducting a comprehensive review of countermeasures from a broader perspective. First, we introduce the fundamental concepts and critical components of privacy attacks. Second, we comprehensively cover major privacy attacks targeted at anonymous data, statistical aggregate data, and privacy-preserving models. We also summarize popular countermeasures to mitigate these attacks. Finally, some promising future research directions and related issues in the privacy community are envisaged. We believe this survey will successfully shed some light on privacy research and encourage researchers to entirely understand the resilience of different existing privacy-preserving approaches. Copyright © 2023, The Authors. All rights reserved.

关键词： Privacy-preserving techniques

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