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检索条件"任意字段=22nd International Conference on Architecture of Computing Systems"

共 3589 条记录，以下是21-30 订阅

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Model-Driven Security Analysis of Self-Sovereign Identity systems 22

Model-Driven Security Analysis of Self-Sovereign Identity Sy...

引用

IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Ding, Yepeng Sato, Hiroyuki Univ Tokyo Tokyo Japan

ISBN: (纸本)9798350381993;9798350382006

Best practices of self-sovereign identity (SSI) are being intensively explored in academia and industry. Reusable solutions obtained from best practices are generalized as architectural patterns for systematic analysis and design reference, which significantly boosts productivity and increases the dependability of future implementations. For security-sensitive projects, architects make architectural decisions with careful consideration of security issues and solutions based on formal analysis and experiment results. In this paper, we propose a model-driven security analysis framework for analyzing architectural patterns of SSI systems with respect to a threat model built on our investigation of real-world security concerns. Our framework mechanizes a modeling language to formalize patterns and threats with security properties in temporal logic and automatically generates programs for verification via model checking. Besides, we present typical vulnerable patterns verified by SecureSSI, a standalone integrated development environment, integrating commonly used pattern and attacker models to practicalize our framework.

关键词： self-sovereign identity architectural pattern security analysis temporal logic model checking formal methods

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A Comprehensive Machine Learning Methodology for Embedded systems PHM 22

A Comprehensive Machine Learning Methodology for Embedded Sy...

引用

IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Pimentel, Juliano McEwan, Alistair A. Yu, Hong Qing Univ Derby Sch Comp & Engn Derby DE22 1GB England

ISBN: (纸本)9798350381993;9798350382006

Techniques of Machine Learning (ML) have recently been widely used in several applications, but not much for embedded systems, particularly those of safety-critical functionality, and are expected to help solve complex PHM and RUL which are difficult to be overcome with traditional approaches. This paper proposes a novel approach to encompass data-driven system-level health management, which comprises three main processes: an exhaustive offline training using machine learning techniques to derive a model capable of predicting the system of interest within fixed performance criteria;followed by its deployment on the targeted embedded system for real-time health assessment and finally the ability to provide a multi-step ahead forecasting for the system prognostics. The ability to monitor the current state of the systems and predict their behaviour becomes essential. Therefore, techniques to establish fault tolerance and fault prediction are required. Condition monitoring (CM), prognostics and health management (PHM) and remaining useful life (RUL) are enablers for fault detection, fault progression and system degradation. This paper presents a ML-based methodology for the PHM of embedded systems, aiming at generalization and real-time performance.

关键词： PHM Machine Learning Embedded systems Real-Time Condition Monitoring Remaining Useful Life Fault Taxonomy

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Coexistence Analysis of 10-10.5 GHz IMT and EESS (passive) systems 22

Coexistence Analysis of 10-10.5 GHz IMT and EESS (passive) S...

引用

IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Wang, Xiaoqian Wang, Cheng Cai, Yuqian Zhao, Xiaoyan Wang, Weidong Minist Educ Key Lab Universal Wireless Commun Beijing Peoples R China Beijing Univ Posts & Telecommun Sch Elect Engn Informat & Elect Technol Lab Beijing Peoples R China

ISBN: (纸本)9798350381993;9798350382006

With the commercialization of international Mobile Telecommunications (IMT) technology, this paper studies the problem of ensuring coexistence between new frequency bands and existing satellite systems, which has led to an increasing demand for spectrum resources. Specifically, the research evaluates the potential interference between IMT and Earth-Exploration Satellite Service (passive)-EESS (passive) in the 10-10.5 GHz frequency band. This paper presents an innovative methodology for constructing a dynamic EESS (passive) system model based on orbital elements. In addition, the IMT system model was built by analyzing satellite imagery data. The results show different levels of interference sensitivity among passive sensors, highlighting the need to impose necessary restrictions on IMT systems to protect EESS (passive) systems. Overall, this paper introduces an innovative method for modeling the dynamic interaction between satellites and largescale base stations, which is beneficial for analyzing the coexistence of IMT and EESS (passive) systems.

关键词： 7Coexistence IMT technology EESS (passive) nterference Frequency compatibility 10-10.5GHz band

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Dynamic Scheduling of AES Cores for Aperiodic Tasks on Multi-tenant Cloud FPGAs 22

Dynamic Scheduling of AES Cores for Aperiodic Tasks on Multi...

引用

IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Donchez, Stephen Wang, Xiaofang Villanova Univ Dept Elect & Comp Engn Villanova PA 19085 USA

ISBN: (纸本)9798350381993;9798350382006

Field Programmable Gate Arrays (FPGAs) have long been utilized in systems benefiting from hardware acceleration of processes unsuitable for execution on a traditional processor. Accordingly, as much of the world pivots from on-site datacenters and computing resources to hybrid or cloud based platforms, Multi-processing System-on-Chip (MPSoC) FPGAs are increasingly being employed in cloud computing systems to speed up many computation-intensive applications. In cloud computing, multi-tenant FPGAs are constantly space- and time-shared among multiple tenants dynamically by leveraging the partial reconfiguration property of FPGAs. With increasing security and privacy concerns introduced by these memory-based volatile devices, most countermeasures rely on encryption and decryption engines such as AES (Advanced Encryption Standard) cores for user data protection. However, their high-resource requirements and long latency limit the number of such engines that can be implemented in hardware. They often become a performance bottleneck during peak time. In this paper, we propose a scheduling algorithm for aperiodic tasks to dynamically share multiple AES cores and hence to improve their utilization and overall system performance. Extensive experimental measurements on an FPGA development board featuring a Xilinx Ultrascale+ FPGA demonstrate the efficacy of our mechanism.

关键词： FPGA Security Scheduling Implementation AES Multi-tenancy Cloud computing

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Design and Implementation of Mask Detection System Based on Improved YOLOv5s 22

Design and Implementation of Mask Detection System Based on ...

引用

IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Zhao, Changyu Yan, Zhuo Xu, Huangxin Chen, Xueliang Li, Zheng Zhong, Xinyu Liu, Cuiwei Xiao, Anyan Lv, Xingyan Shenyang Aerosp Univ Sch Artificial Intelligence Shenyang Peoples R China Shenyang Aerosp Univ Sch Comp Sci Shenyang Peoples R China

ISBN: (纸本)9798350381993;9798350382006

In this paper, we propose a lightweight mask detection algorithm and implement an intelligent vehicle system. The algorithm uses YOLOv5s as the backbone network, and at the same time incorporates the SE attention mechanism to optimize the timeliness, and is finally deployed on an intelligent vehicle system with BCM2711 as the controlplatform. Experiments prove that the algorithm proposed in this paper reduces the detection time by 30% while ensuring a higher MAP, which has certain valuefor promotion.

关键词： intelligent vehicle systems mask detection YOLOv5s SE attention mechanism

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Demo: MeowSorter: Identifying Stray and Pet Cats Through Facial Features 24

Demo: MeowSorter: Identifying Stray and Pet Cats Through Fac...

引用

22nd Annual international conference on Mobile systems, Applications and Services (MOBISYS)

作者： Motoyama, Rina Isokawa, Naohiro Okoshi, Tadashi Nakazawa, Jin Keio Univ Tokyo Japan

ISBN: (纸本)9798400705816

In this paper, we propose a MeowSorter that identifies stray and pet cats using deep learning technology, to address the problem that lost cats with owners are mistakenly identified as stray cats and wrongfully euthanized. We made a dataset of 800 facial images and compared the accuracy of six image recognition algorithms. The optimal algorithm for classifying stray and pet cats is ResNet-50, achieving an accuracy of 85.44%. Our findings confirm that cat eyes and ears are key differentiators, rivaling cat expert judgments.

关键词： Animal computing Classification Facial Features

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Research and Discussion on Digital Twin architecture of 5G Bearer Network 22

Research and Discussion on Digital Twin Architecture of 5G B...

引用

22nd international conference on Optical Communications and Networks, ICOCN 2024

作者： Wang, Yu Cui, Xiao Zhu, Jian Guo, Bingli Beijing China Huawei Technologies Co. LTD Wuhan China Beijing University of Posts and Telecommunications Beijing China

Based on the research of digital twin technology in the field of information communication, this paper mainly proposes the architecture of digital twin for 5G bearer network, and the deployment strategy of digital twi... 详细信息

ISBN: (纸本)9798350367652

关键词： 5G mobile communication systems

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Performance Evaluation of Flight Energy Consumption of UAVs in IRS-assisted UAV systems 22

Performance Evaluation of Flight Energy Consumption of UAVs ...

引用

IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Luo, Xiuyi Lu, Chongrui Ouyang, Siyi Xia, Siyu Wuhan Univ Technol Sch Informat Engn Wuhan Peoples R China Wuhan Univ Technol Lib Wuhan Peoples R China

ISBN: (纸本)9798350381993;9798350382006

The research regarding the cooperation between unmanned aerial vehicles (UAVs) and intelligent reflecting surface (IRS) has attracted great attenuation in recent years. However, one of the key technical weaknesses is the limited service duration of onboard battery-empowered UAVs. Aiming to prolong UAVs flight time, in this paper, UAVs flight energy consumption minimization problem is formulated along with a list of constraints. To solve the challenging problem, the original problem is decoupled into two subproblems, where the first one is solved by using the proposed modified differential evolution algorithm and the second subproblem is resolved by means of the proposed modified grey wolf algorithm. The results verify the effectiveness of the proposed solution. The outcome obtained in this paper can be further extended to reliable indoor communication services, such as library indoor positioning and navigation and library emergency communications.

关键词： Unmanned Aerial Vehicles Mobile Edge computing Intelligent Reflecting Surface Performance Improvement

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Anomaly based malware threat detection on Linux systems 22

Anomaly based malware threat detection on Linux Systems

引用

IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Ramamoorthy, Jayanthi Shashidhar, Narasimha K. Zhou, Bing Sam Houston State Univ Dept Comp Sci Huntsville TX 77340 USA

ISBN: (纸本)9798350381993;9798350382006

There has been a steady increase in malware targeting Linux-based systems. With the proliferation of embedded IoT devices and cloud architectures that use Linux or Unix-based Operating systems, this trend is expected to grow. Most modern Linux distributions include a configurable and queryable userspace component for security auditing with auditd (audit daemon) subsystem. In a multi-user, enterprise environment, these audit events are typically collected in a centralized repository as a source for threat detection and Incident response. Attack techniques used by malicious programs such as process injection and memory corruption are commonly seen in fileless malware, insider threats, and zero day attacks. Such attacks are difficult to detect through traditional signature-based methods since there are no known, discernible indicators of compromise. This study proposes a novel method of using Linux process overlay (execve) audit logs to identify threats from malicious executable and shellcode, with Machine Learning. Our study proposes a methodology that uses a Sparse Autoencoder Deep Learning model to effectively detect these security threats as anomalies, with an accuracy of over 95 percent. We suggest this approach as a feasible enterprise solution to identify Linux malware and detect security threat anomalies by leveraging native Linux audit logging capabilities.

关键词： Linux malware Anomaly detection Linux audit logs

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Affinity-Based Resource and Task Allocation in Edge computing systems 22

Affinity-Based Resource and Task Allocation in Edge Computin...

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IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Zou, Wenbing Liu, Xiulei Hou, Shoulu Zhang, Ye Miao, Lin Gong, Yi Li, Ning Beijing Informat Sci & Technol Univ Beijing Peoples R China

ISBN: (纸本)9798350381993;9798350382006

Edge computing has become a promising technology to mitigate the latency of various cloud services. Task scheduling in edge computing is challenging due to the heterogeneous devices and multiple tasks. This paper proposes an affinity-based scheduling algorithm to solve the multi-task scheduling problem with heterogeneous computing resources under edge computing. The algorithm uses a centralized scheduling strategy that takes into account the overall matching between intelligent computing tasks and heterogeneous resources from two aspects: resource affinity and system load balancing. It can adjust the weights among these aspects to meet different application requirements. The results show that the proposed algorithm can reduce the average response time by at least 10% and has a significant advantage regarding the system running time compared to the other comparative methods.

关键词： edge computing matching affinity computing tasks heterogeneous resources

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