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DPFCFI: A Hardware-Based Forward control-Flow Integrity for Architecture and Microarchitecture 21

DPFCFI: A Hardware-Based Forward Control-Flow Integrity for ...

引用

21st ieee international Symposium on Parallel and Distributed Processing with Applications, 13th ieee international conference on Big Data and Cloud computing, 16th ieee international conference on Social computing and Networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： She, Cairui Chen, Liwei Shi, Gang Institute of Information Engineering Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences School of Cyber Security Beijing China

ISBN: (纸本)9798350329223

Spectre attacks and their many variants pose a security risk to modern processors. Branch Target Injection (BTI or Spectre v2) is one of the most dangerous Spectre attacks, as it enables an attacker to leak sensitive data by exploiting indirect branch mispredictions. Some works, like SPECCFI and Intel IBT, propose that the indirect branch should also confirm the control flow integrity (CFI) in the microarchitecture. they use CFI to defend the microarchitecture against BTI attacks. However, SPECCFI follows the traditional CFI label policy, which causes compatibility and security issues. Intel IBT also can not provide sufficient security *** this paper, we propose Double Protection based on Forward control-Flow Integrity (DPFCFI). DPFCFI is a hardware-based security mechanism for microarchitecture and architecture that combines CFI with transparent label design. DPFCFI can stop BTI attacks and traditional forward control-flow hijack attacks. DPFCFI's transparent label design enables it to support high-precision CFG and improve security. DPFCFI also adds no new ISA (Instruction Set Architecture) instructions and maintains program compatibility. We implement DPFCFI on CVA6 (Ariane) RISC-V processor. the experiment on FPGA demonstrates that DPFCFI incurs low performance overhead (2.60% on average) © 2023 ieee.

关键词： Sensitive data

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CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style control and Contrastive Learning with Negative Samples Augmentation 21

CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Sty...

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作者： Deng, Yimin Zhang, Xulong Wang, Jianzong Cheng, Ning Xiao, Jing Co. Ltd. China University of Science and Technology of China China

ISBN: (纸本)9798350329223

Better disentanglement of speech representation is essential to improve the quality of voice conversion. Recently contrastive learning is applied to voice conversion successfully based on speaker labels. However, the performance of model will reduce in conversion between similar speakers. Hence, we propose an augmented negative sample selection to address the issue. Specifically, we create hard negative samples based on the proposed speaker fusion module to improve learning ability of speaker encoder. Furthermore, considering the fine-grain modeling of speaker style, we employ a reference encoder to extract fine-grained style and conduct the augmented contrastive learning on global style. the experimental results show that the proposed method outperforms previous work in voice conversion tasks. © 2023 ieee.

关键词： Speech synthesis

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A New Dataset for Intrusion Detection in Industrial control system: A Gas Pipeline Testbed Study 21

A New Dataset for Intrusion Detection in Industrial Control ...

引用

作者： Deng, Longmin Zhang, Xuemin Zheng, Qianrong Zhao, Dongdong Zhou, Junwei Xiang, Jianwen Wuhan University of Technology Hubei Key Laboratory of Transportation of Internet of Things School of Computer Science and Artifical Intelligence Wuhan China Wuhan University of Technology Chongqing Research Institute Chongqing China

ISBN: (纸本)9798350329223

the security of Industrial control systems (ICS) is a critical issue that has gained increasing attention in recent years. Machine learning based intrusion detection systems (IDS) have shown promise in detecting previously unknown attacks, but their performance depends heavily on the quality of the dataset. However, most existing datasets in the field are either outdated or do not reflect the specific characteristics of ICS. We construct a dataset of ICS network traffic collected from a gas pipeline testbed, which covers a range of normal and abnormal events specific to the domain. We detail our methodology for constructing the dataset based on the gas pipeline testbed. Moreover, the systematic and fundamental comparative experiments are performed, based on the collected dataset. Specifically, we evaluate the performance of five supervised machine learning models on it while comparing their results. Our experimental results show that the dataset can serve as a valuable resource for data-driven IDS research and that Random Forest is an effective model for detecting anomalies in ICS data. © 2023 ieee.

关键词： Intrusion detection

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the Research on control and Dynamic Property of Autonomous Vehicle Adaptive Lidar system 13

The Research on Control and Dynamic Property of Autonomous V...

引用

2020 ieee Congress on Cybermatics: 13th ieee international conferences on Internet of things, ithings 2020, 16th ieee international conference on Green computing and Communications, GreenCom 2020, 13th ieee international conference on Cyber, Physical and Social computing, CPSCom 2020 and 6th ieee international conference on Smart Data, SmartData 2020

作者： Chen, Jing Zhang, Hanlin Lu, Yi Zhang, Qingrui Information Center Tianjin Research Institute for Water Transport Engineering Tianjin China Tianjin Research Institute for Water Transport Engineering Development Department Tianjin China Shanghai University of Engineering Science Shanghai China Computer Science School Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781728176475

Autonomous driving has attracted remarkable attention from both industry and academic, lidar is one of the most sensors in the core module of autonomous driving, it plays an important role in vehicle positioning and obstacle avoidance, Lidar is usually expensive and noble, but to reduce the blind area of vehicles, it has to increase the number of lidars, making autonomous vehicles are expensive. Based on this background, a servo system with two degrees of freedom is designed in this paper to make up for blind spots in a lidar system. Autonomous vehicle lidar servo system works when the car turns, goes up and down ramps. Based on the kinematic behavior of the vehicle, dynamic analysis was performed, the angle of lidar detection changes with the rotation of the steering wheel, and the tilt angle of the vehicle body. the blind area caused by the angle of the vehicle can be avoided. the servo lidar control system was simulated by MATLAB, and its performance was verified. In a word, the blind zone of an autonomous driving vehicles can be effectively reduced. At the same times lidars can be fully utilized to reduce hardware costs. © 2020 ieee.

关键词： Autonomous vehicles

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Distribution Management system and control architecture through a FPGA device for electrical distribution feeders 13

Distribution Management System and control architecture thro...

引用

13th international conference on Electrical engineering, computing Science and Automatic control, CCE 2016

作者： Hernandez, Frank Alberto Ibarra Canesin, Carlos Alberto School of Sciences and Engineering University of Sinú Montería Colombia Power Electronics Laboratory São Paulo State University-UNESP-FE/IS Ilha Solteira Brazil

ISBN: (纸本)9781509035106

this paper proposes the utilization of VHDL (Very High Speed Integrated Circuit plus Hardware Description Language) for developing a novel Distribution Management system (DMS) and control architecture for electrical distribution systems. Developed DMS and control architecture utilizes a FPGA (Field Programmable Gate Array) device allowing electrical feeder control. this DMS and control architecture in its case study gives priority to control a voltage regulator, based on the switching TAP change (for each phase). the test case system used in this research consists of a 959 nodes distribution feeder, considering a typical real Brazilian electrical-distribution radial system. Some results for the distribution feeder test case are presented, in order to demonstrate the feasibility of the developed higher-level control using a FPGA device in a VHDL platform. © 2016 ieee.

关键词： Computer hardware description languages

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A Decentralized Vehicle-to-Vehicle Energy Trading system Based on Efficient Sharding Services 21

A Decentralized Vehicle-to-Vehicle Energy Trading System Bas...

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作者： Meng, Kun Sun, Lijun Chen, Xiao Wu, Haiqin Li, Shuaiyong Qingdao University of Science and Technology College of Information Science and Technology Shandong China University of Leicester School of Computing and Mathematical Sciences Leicester United Kingdom Software Engineering Institute Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing China

ISBN: (纸本)9798350329223

Vehicle-to-vehicle (V2V) energy trading stands as a significant technology, allowing electric vehicles (EVs) to share energy. this balances energy demand and supply, reducing pressure on the power grid. However, two substantial challenges require attention: 1) Creating a standardized protocol universally adoptable by EV manufacturers and energy trading participants to establish a common secure and reliable platform for real-time energy trading between EVs. 2) Determining a fair and transparent pricing and transaction management mechanism, accounting for factors such as energy demand and supply, location, and user preferences. To tackle these hurdles, this paper proposes a decentralized V2V energy trading system (VETS) based on a novel high-performance sharding blockchain framework. VETS incorporates a standard energy trading management protocol, achieving trustless and transparent transaction processing. It employs a blockchain sharding and parallel architecture for high transaction throughput, catering to a large number of EVs. Furthermore, an efficient consensus algorithm is developed to minimize service delays and adapt to real-time transaction demands. A practical testbed operationalizes VETS, facilitating experimental analysis within a real-world cloud environment. © 2023 ieee.

关键词： Blockchain

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Modeling and control of Unmaned Aerial Vehicles

Modeling and Control of Unmaned Aerial Vehicles

引用

ieee international conference on control system, computing and engineering (iccsce)

作者： Tan Kai Sheng Mohd Fua’Ad Rahmat Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

Recent years have seen significant expansion within Unmanned Aerial Vehicles (UAVs) with increasing demand from sectors including reconnaissance, surveillance, and delivery. this paper focus on the modelling and control aspects specific to quadcopters, a popular type of UAV with an ambition to increase their stability quotient whilst accounting for factors like thrust, torque and aerodynamics guided by mathematical equations and physics laws governing their dynamics with use of MATLAB Simulink. For effective stabilization purposes design objective is generating proportional-integral-derivative (PID) controllers while testing simulations to gauge the controller’s performance; the results highlight a reduction in oscillations and an increased stability with more favourable regulation of motion relatively than earlier. A physical quadcopter test then follows to cross-validate simulation findings for any subsequent required optimizations of existing PID controls. the project aims at contributing extensively towards enhancing UAV control through developing reliable and efficient PID controllers with specific focus towards quadcopters that can find application potential over other types of UAVs within this industry.

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Modeling a Single Camera system based on Predicted Bounding Box and Pan-Tilt Angles 13

Modeling a Single Camera System based on Predicted Bounding ...

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13th ieee international conference on system engineering and Technology, ICSET 2023

作者： Putri, Adi Novitarini Maria, Fabiola Hidayat, Egi Mahayana, Dimitri Machbub, Carmadi Institut Teknologi Bandung Control and Computer Research Group School of Electrical Engineering and Informatics Bandung Indonesia Institut Teknologi Sains Bandung Bekasi Indonesia

ISBN: (纸本)9798350340891

the control schemes that are related to visual servoing systems are often done through trial and error. Based on the classical control concept, it is necessary to have a mathematical model of the plant before designing the controller. therefore, this research focuses on producing a mathematical model of the pan-tilt system. We propose the combination of the computer vision method with the classic system identification method, namely N4SID to obtain the dynamics model of a pan-tilt system. In this research, the system identification procedure was successful in producing a state-space model of a visual servoing system using a pan-tilt system and a single camera. this study merged traditional system identification techniques with computer vision to create a discrete-time linear state-space model. When the system order value equals three, the approximation with the minimum MSE value is obtained. © 2023 ieee.

关键词： Visual servoing

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Application Research of Vertical Federated Learning Technology in Banking Risk control Model Strategy 21

Application Research of Vertical Federated Learning Technolo...

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作者： Luo, Yong Lu, Zhi Yin, Xiaofei Lu, Songfeng Weng, Yiting Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan China China Minsheng Banking Corp. Ltd. Beijing China Shenzhen Huazhong University of Science and Technology Research Institute Wuhan China Shu Lun Pan Beijing China

ISBN: (纸本)9798350329223

this study centers on the application of vertical federated learning technology in the context of Internet banking loans, with a particular focus on innovations in data privacy protection, risk control model algorithms, and secure multi-party computation. Currently, banking risk control strategies mainly rely on traditional data processing technologies, which often fall short in protecting user privacy and ensuring data usage efficiency. We adopt vertical federated learning technology, offering an innovative solution for the Internet banking loan scenario. Firstly, regarding data privacy protection, we propose a differential privacy mechanism to safeguard user-sensitive data. Secondly, we innovatively apply risk control model algorithms, facilitating collaborative modeling across multiple Internet loan platforms through federated learning. Furthermore, we introduce secure multi-party computation technology to ensure the secure transmission of data and confidentiality of computation processes during federated learning. through empirical experiments on real Internet loan datasets, we validate the effectiveness and feasibility of our proposed methods. After implementing our risk control model, the credit approval rate increased from 3.44% to 18.2%, with a single-day high reaching 25.53%. the average loan amount increased by 7,700 yuan, and the average interest rate slightly declined by 0.48%, marking a significant improvement and breakthrough compared to traditional risk control models. this study offers innovative solutions for data privacy protection and risk control in the Internet loan scenario, providing safer and more reliable services for financial institutions and users. Moreover, our methods possess high practicality and promotional value. the potential widespread impact on the industry is profound. © 2023 ieee.

关键词： Risk management

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A Gradient-guided Fuzzing Approach to Recover More Complete control Flow Graph of Binary 21

A Gradient-guided Fuzzing Approach to Recover More Complete ...

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作者： Wang, Qianjin Li, Xiangdong He, Yuchen Yue, Chong Dept. ZhongYuan University of Technology Henan Key Laboratory on Public Opinion Intelligent Analysis Zhengzhou China

ISBN: (纸本)9798350329223

Recovering control flow graphs of binary is a code analysis task for generating program control structures, the results of which can be applied in malicious code analysis, vulnerability mining, and other cyberspace security fields. However, existing binary control flow graph recovery methods suffer from being incomplete and inefficient, while special code structures such as indirect jumps affect the application of recovery techniques. the fuzzing-based approach utilizes inputs of mutation to obtain test cases that can be executed up to an indirect jump. However, this method ignores the branch behavior of inputs in relation to coverage, generating inputs without considering the validity of those inputs, and failing to efficiently guide indirect jumps. To recover a more complete control flow graph, we propose a gradient-guided fuzzing to solve the indirect jump problem. First, the base CFG of the program is recovered using static analysis. Next, we optimize the test case generation utilizing a gradient-guided approach to discover indirect jump relationships by monitoring the execution of these test cases. Finally, indirect jump relations are added to the base CFG to obtain a more complete control flow graph. Experimental results show that our approach outperforms existing methods in solving indirect jumps. © 2023 ieee.

关键词： Static analysis

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