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International Conference on Software engineering (ICSE)

作者： Zhen Li Ning Wang Deqing Zou Yating Li Ruqian Zhang Shouhuai Xu Chao Zhang Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Jin YinHu Laboratory Wuhan China Department of Computer Science University of Colorado Colorado Springs Colorado Springs Colorado USA Institute for Network Sciences and Cyberspace Tsinghua University Beijing China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9798400702174

ISBN: (纸本)9798350382143

Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a program function as a whole, known as function-level vulnerability detectors. However, the limitation of this approach is not understood. In this paper, we investigate its limitation in detecting one class of vulnerabilities known as inter-procedural vulnerabilities, where the to-be-patched statements and the vulnerability-triggering statements belong to different functions. For this purpose, we create the first Inter -Procedural Vulnerability Dataset (InterPVD) based on C/C++ open-source software, and we propose a tool dubbed VulTrigger for identifying vulnerability-triggering statements across functions. Experimental results show that VulTrigger can effectively identify vulnerability-triggering statements and inter-procedural vulnerabilities. Our findings include: (i) inter-procedural vulnerabilities are prevalent with an average of 2.8 inter-procedural layers; and (ii) function-level vulner-ability detectors are much less effective in detecting to-be-patched functions of inter-procedural vulnerabilities than detecting their counterparts of intra-procedural vulnerabilities.

关键词： Deep learning Detectors Open source software Software engineering

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Secure and Collusion Free Data Collection Protocol for Privacy- Preservation in Iot

SSRN

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SSRN 2023年

作者： Sajjad, Haider Kanwal, Tehsin Anjum, Adeel Khan, Razaullah Khan, Abid Malik, Saifur Rehman Department of Computer Sciences Comsats University Islamabad Pakistan National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunications Beijing China Quaid-i-Azam University Pakistan University of Derby United Kingdom Cybernetica AS Estonia Tallinn Estonia

With the help of rapid increase in the usage of smart devices in Internet of Things (IoT) oriented environment, for data collection and aggregation, organizations like hospitals and medical labs or medical researchers can collect personal data of users (e.g. patients) to carry out their research or study the behavior of an epidemic. While the importance of such data cannot be neglected, the privacy of the users must also be considered. However, dealing with such data which might contains user private information that should not be reveal publicly. The data collector must apply some privacy techniques in order to preserver users' privacy. The privacy concern must also be considered by the data owners during the transmission of private data. In this paper, we propose a Collusion Free Data Collection Protocol (CFDCP) that ensures the data owners' privacy in presence of adversaries who might intercept the data on transit. We have proved that users' privacy will remain preserved even if the adversary manages to intercept the data containing sensitive information. Moreover, formal modelling and analysis of the protocol through High-Level Petri Nets (HLPNs) demonstrate the correctness of its properties. Experiments on real-world dataset shows that the proposed approach outperforms over existing data collection techniques. © 2023, The Authors. All rights reserved.

关键词： Internet of things

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Three-Pass Identification Scheme Based on MinRank Problem with Half Cheating Probability

Three-Pass Identification Scheme Based on MinRank Problem wi...

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International Symposium on Information Theory and Its Applications, ISITA

作者： Bagus Santoso Yasuhiko Ikematsu Shuhei Nakamura Takanori Yasuda Department of Computer and Network Engineering The University of Electro-Communications Institute of Mathematics for Industry Kyushu University Department of Liberal Arts and Basic Sciences Nihon University Institute for the Advancement of Higher Education Okayama University of Science

ISBN: (数字)9784885523410

ISBN: (纸本)9781665499071

In Asiacrypt 2001, Courtois proposed the first three-pass zero-knowledge identification (ID) scheme based on the MinRank problem. However, in a single round of Courtois’ ID scheme, the cheating probability, i.e., the success probability of the cheating prover, is 2/3, larger than half. Although Courtois also proposed a variant scheme which he claimed to have half cheating probability, its security is not formally proven, and it requires another hardness assumption on a specific one-way function and that verifier always generates challenges according to a specific non-uniform *** paper proposes the first three-pass zero-knowledge ID scheme based on the MinRank problem with the cheating probability of exactly half for each round, even with only two-bit challenge space, without any additional assumption. The proposed ID scheme requires fewer rounds and less average total communications costs than Curtois’ under the same security level against impersonation.

关键词： Costs Quantum mechanics Digital signatures Information theory

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Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization

arXiv

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arXiv 2024年

作者： Wang, Zhonghao Yuan, Ru Fu, Jiaye Wong, Ka-Chun Peng, Chengbin College of Information Science and Engineering Ningbo University Ningbo315200 China Key Laboratory of Mobile Network Application Technology of Zhejiang Province Ningbo315200 China Department of Computer Science City University of Hong Kong 999077 Hong Kong School of Management Xi’an Polytechnic University Xi’an710048 China

Core-periphery structure is an essential mesoscale feature in complex networks. Previous researches mostly focus on discriminative approaches while in this work, we propose a generative model called masked Bayesian non-negative matrix factorization. We build the model using two pair affiliation matrices to indicate core-periphery pair associattions and using a mask matrix to highlight connections to core nodes. We propose an approach to infer the model parameters, and prove the convergence of variables with our approach. Besides the abilities as traditional approaches, it is able to identify core scores with overlapping core-periphery pairs. We verify the effectiveness of our method using randomly generated networks and real-world networks. Experimental results demonstrate that the proposed method outperforms traditional approaches. © 2024, CC BY.

关键词： Complex networks

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A Multi-Channel Tunable Periodic Narrowband Filter Chip Composed of Cascaded Silicon Nitride Microring Resonators 19

A Multi-Channel Tunable Periodic Narrowband Filter Chip Comp...

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19th International Conference on Optical Communications and networks, ICOCN 2021

作者： Zhu, Runliang Yin, Feifei Wan, Xin Dai, Yitang Xu, Kun State Key Laboratory of Information Photonics and Optical Communication Department of Electronic Engineering Beijing University of Posts and Telecommunications Beijing100876 China National Computer Network Emergency Response Technical Team Coordination Center of China Beijing100029 China

ISBN: (纸本)9781665424462

A multi-channel tunable periodic narrowband filter chip composed of cascaded silicon nitride (Si3N4) microring resonators (MRR) is proposed and implemented in this paper. We have assembled eight MRRs with the same structure on a silicon based chip with a size of 9mm*1.8mm. The waveguide material is silicon nitride with low transmission loss, and its transmission loss is about 0.2dB/cm. The central wavelength of the MRR can be tuned by thermal-optical effect. The experimental results show that the FSR is about 260GHz, the channel's 3dB bandwidth range is 0.78-1.33GHz, the thermal modulation coefficient is about 0.33GHz/mW, and the central frequency tuning range is about 60GHz. The chip has the following features, including multi-channel, narrow bandwidth and wide tuning range, which can be used in microwave photonic system instead of traditional optical filters. © 2021 IEEE.

关键词： Silicon nitride

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Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning

Tackling Data Sparsity and Combinatorial Challenges in Rare ...

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IEEE International Conference on Big Data

作者： Armin Berger Tom Anglim Lagones Lorenz Grigull Lara Fendrich Thiago Bell Henriette Högl Gundula Ernst Ralf Schmidt David Bascom Rafet Sifa Max Lübbering Department of Media Engineering Fraunhofer IAIS Germany Department of Computer Science University of Bonn Germany West-AI - Federal Ministry of Education and Research Germany Department of Health Queensland Australia Griffith University - School of Medicine Australia University Hospital Bonn - Center for Rare Diseases Germany Children’s Network for Chronic Illnesses and Disabilities Germany Department of Medical Psychology Medical School Hannover Germany

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

With over 7,000 known rare diseases and a prevalence of less than one in a thousand, rare diseases pose substantial challenges to advanced medical support networks. This study investigates the efficacy of ***, a novel social networking platform designed for individuals affected by rare diseases, including patients, their family members, and medical professionals, addressing data sparsity and combinatorial complexities in user matching. We demonstrate that simple matching heuristics already serve as a decent basis for collecting user feedback on match quality. Leveraging over 10,000 user matching feedback scores from more than 2,000 active users, we evaluate algorithms including collaborative filtering and user embedding similarity with state-of-the-art Large Language Models (LLMs). With a top-10 and top-5 hit-rate of 55% and 37%, respectively, we show that a combination of medical data augmentation and embeddings significantly enhances performance beyond the initial heuristic baseline.

关键词： Social networking (online) Large language models Collaborative filtering Machine learning Big Data Data augmentation Data models Complexity theory Diseases

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Impact of Hardware Impairments on Covert Cooperative Backscatter Communications

Impact of Hardware Impairments on Covert Cooperative Backsca...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Huan Li Yinghui Ye Lu Lv Guangyue Lu Naofal Al-Dhahir Shaanxi information communication network and security Laboratory Xi'an University of Posts and Telecommunications Xi'an China State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Department of Electrical and Computer Engineering The University of Texas at Dallas Richardson TX USA

In this paper, we investigate a covert cooperative backscatter communication (BackCom) network under residual hardware impairments (RHIs) that are unavoidable in practical radio frequency transceivers and may have an impact on the communication covertness and reliability. By exploiting the availability of statistical channel state information, we derive analytic expressions for the eavesdropper's detection error probability (DEP) and system outage probability (SOP) to evaluate the system covertness and communication reliability, respectively. Using the derived results, we prove that RHIs can improve the communication covertness but significantly degrade the outage performance. We also show that under RHIs and extremely high transmit signal-to-noise levels, the system outage performance has a non-zero asymptote, while the DEP still approaches one, similar to the scenario with perfect hardware. computer simulations corroborate our analytical results.

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Disco Intelligent Reflecting Surfaces: Active Channel Aging for Fully-Passive Jamming Attacks

arXiv

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arXiv 2023年

作者： Huang, Huan Zhang, Ying Zhang, Hongliang Cai, Yi Swindlehurst, A. Lee Han, Zhu Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou Key Laboratory of Advanced Optical Communication Network Technology Soochow University Jiangsu Suzhou215006 China The School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China The School of Electronics Peking University Beijing100871 China The Center for Pervasive Communications and Computing University of California IrvineCA92697 United States The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States

Due to the open communications environment in wireless channels, wireless networks are vulnerable to jamming attacks. However, existing approaches for jamming rely on knowledge of the legitimate users’ (LUs’) channels, extra jamming power, or both. To raise concerns about the potential threats posed by illegitimate intelligent reflecting surfaces (IRSs), we propose an alternative method to launch jamming attacks on LUs without either LU channel state information (CSI) or jamming power. The proposed approach employs an adversarial IRS with random phase shifts, referred to as a "disco" IRS (DIRS), that acts like a "disco ball" to actively age the LUs’ channels. Such active channel aging (ACA) interference can be used to launch jamming attacks on multi-user multiple-input single-output (MU-MISO) systems. The proposed DIRS-based fully-passive jammer (FPJ) can jam LUs with no additional jamming power or knowledge of the LU CSI, and it can not be mitigated by classical anti-jamming approaches. A theoretical analysis of the proposed DIRS-based FPJ that provides an evaluation of the DIRS-based jamming attacks is derived. Based on this detailed theoretical analysis, some unique properties of the proposed DIRS-based FPJ can be obtained. Furthermore, a design example of the proposed DIRS-based FPJ based on one-bit quantization of the IRS phases is demonstrated to be sufficient for implementing the jamming attack. In addition, numerical results are provided to show the effectiveness of the derived theoretical analysis and the jamming impact of the proposed DIRS-based FPJ. Copyright © 2023, The Authors. All rights reserved.

关键词： Wireless networks

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Introduction of the Study Results of the Moon Electrical Power Systems 22

Introduction of the Study Results of the Moon Electrical Pow...

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22nd IAA Symposium on Building Blocks for Future Space Exploration and Development at the 75th International Astronautical Congress, IAC 2024

作者： Oka, Noriaki Yamauchi, Kenji Ijichi, Koichi Yanagawa, Hiroki Kashimura, Osamu Uchida, Atsushi Tanaka, Koji Mitani, Tomohiko Honjo, Kazuhiko Ishikawa, Ryo Ishimura, Kosei Fujino, Yoshiyuki Fujita, Kazuhisa Itoh, Kenji Kawakami, Yoshihiro Ishikawa, Yoji Yamaguchi, Hiroshi Ogawa, Akihiko Japan Space Systems 3-5-8 Shibakoen Minato-ku Tokyo105-0011 Japan Emerging Technologies and Security Division Mitsubishi Research Institute Inc. 10-3 Nagatacho 2-chome Chiyoda-ku Tokyo100-8141 Japan Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo-ku Kanagawa Sagamihara252-5210 Japan Kyoto University Gokasho Kyoto Uji611-0011 Japan Department of Computer and Network Engineering The University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan Dept. of Modern Mechanical Engineering School of Creative Science and Engineering Waseda University 3-4-1 Okubo Shinjuku-ku Tokyo169-8555 Japan Faculty of Science and Engineering Toyo University 2100 Kujirai Saitama-ken Kawagoe350-8585 Japan 1955-1 Kurematsu-cho chuo-ku Shizuoka Hamamatsu431-1202 Japan Department of Electrical and Electronic Engineering College of Engineering Kanazawa Institute of Technology 7-1 Ohgigaoka Ishikawa Nonoichi921-8501 Japan Obayashi Future Lab. Technology Division Obayashi Corporation 2-15-2 Konan Minato-ku Tokyo108-8502 Japan 492 Minosho-machi Nara-ken YamatoKoriyama639-1186 Japan Electronics Technologies Office Technologies Development Department IHI Aerospace Co. Ltd. 900 Fujiki Gunma-ken Tomioka-shi370-2398 Japan

ISBN: (纸本)9798331312251

Since the year of 2021, Ministry of Economy, Trade and Industry (METI) started work on the energy issues on the Moon including the feasibility study of the electrical power system with Mitsubishi Research Institute, Japan Space Systems, Institute of Space and Astronautical Science of Japan Aerospace Exploration Agency (JAXA), the universities and the industries. The architecture of the Moon electrical power infrastructure is found to be more like those of the power infrastructure of the earth than current satellite power system, and consisted of the power generation, power distribution grid and the power storage, and supplying electrical power to the consumer. The differences are that the environment of the Moon such as the vacuum and temperature condition, the influence of the regolith, etc. should have to be considered, and also the transportation cost of the construction is the key factor for the necessary technology to be selected. Of course, the technologies already established by the International Space Station (ISS) should be applied where necessary such as in the human habitable area. And more feature of the Moon is that the power generation on the Moon orbit and be sent to the surface or the inside the Permanent Shadow Region (PSR) other than on the surface of the Moon. The main consumer of the power system until the year 2050th is the water extraction and then the electrolysis of the water for, such as, the propellant for the transportation means and the electricity for the human habitant. The results of the system feasibility study of the Moon power architecture and also the electric power system team activities including the discussion with the hydrogen production team are going to be introduced. Copyright © 2024 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Space power generation

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Sim2Real Grasp Pose Estimation for Adaptive Robotic Applications

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IFAC-PapersOnLine 2023年第2期56卷 5233-5239页

作者： Dániel Horváth Kristóf Bocsi Gábor Erdős Zoltán Istenes Centre of Excellence in Production Informatics and Control Institute for Computer Science and Control Eőtvős Loránd Research Network Budapest Hungary CoLocation Center for Academic and Industrial Cooperation Eőtvős Loránd University Budapest Hungary Department of Manufacturing Science and Engineering Budapest University of Technology and Economics Budapest Hungary

Adaptive robotics plays an essential role in achieving truly co-creative cyber physical systems. In robotic manipulation tasks, one of the biggest challenges is to estimate the pose of given workpieces. Even though the recent deep-learning-based models show promising results, they require an immense dataset for training. In this paper, two vision-based, multi-object grasp pose estimation models (MOGPE), the MOGPE Real-Time and the MOGPE High-Precision are proposed. Furthermore, a sim2real method based on domain randomization to diminish the reality gap and overcome the data shortage. Our methods yielded an 80% and a 96.67% success rate in a real-world robotic pick-and-place experiment, with the MOGPE Real-Time and the MOGPE High-Precision model respectively. Our framework provides an industrial tool for fast data generation and model training and requires minimal domain-specific data.

关键词： adaptive robotics robot vision sim2real knowledge transfer smart manufacturing cyber physical production systems

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