High-Confidence Computing最新文献_第2页

EPri-MDAS: An efficient privacy-preserving multiple data aggregation scheme without trusted authority for fog-based smart grid EPri-MDAS：基于雾的智能电网的高效隐私保护多数据聚合方案（无需可信机构

IF 3.2

High-Confidence Computing Pub Date : 2024-04-15 DOI: 10.1016/j.hcc.2024.100226

{"title":"EPri-MDAS: An efficient privacy-preserving multiple data aggregation scheme without trusted authority for fog-based smart grid","authors":"","doi":"10.1016/j.hcc.2024.100226","DOIUrl":"10.1016/j.hcc.2024.100226","url":null,"abstract":"<div><div>With the increasingly pervasive deployment of fog servers, fog computing extends data processing and analysis to network edges. At the same time, as the next-generation power grid, the smart grid should meet the requirements of security, efficiency, and real-time monitoring of user energy consumption. By utilizing the low-latency and distributed properties of fog computing, it can improve communication efficiency and user service satisfaction in smart grids. For the sake of providing adequate functionality for the power grid, various schemes have been proposed. Whereas, many methods are vulnerable to privacy leakage since the existence of trusted authority may increase the exposure to threats. In this paper, we propose the EPri-MDAS: an <em>E</em>fficient <em>Pri</em>vacy-preserving <em>M</em>ultiple <em>D</em>ata <em>A</em>ggregation <em>S</em>cheme without trusted authority based on the ElGamal homomorphic cryptosystem, which achieves both data integrity verification and data source authentication with the most efficient block cipher-based authenticated encryption algorithm. It performs well in energy efficiency with strong security. Especially, the proposed multidimensional aggregation statistics scheme can perform the fine-grained data analyses; it also allows for fault tolerance while protecting personal privacy. The security analysis and simulation experiments show that EPri-MDAS can satisfy the security requirements and work efficiently in the smart grid.</div></div>","PeriodicalId":100605,"journal":{"name":"High-Confidence Computing","volume":"4 4","pages":"Article 100226"},"PeriodicalIF":3.2,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140782430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An attribute-based access control scheme using blockchain technology for IoT data protection 利用区块链技术保护物联网数据的基于属性的访问控制方案

IF 3.2

High-Confidence Computing Pub Date : 2024-04-09 DOI: 10.1016/j.hcc.2024.100199

{"title":"An attribute-based access control scheme using blockchain technology for IoT data protection","authors":"","doi":"10.1016/j.hcc.2024.100199","DOIUrl":"10.1016/j.hcc.2024.100199","url":null,"abstract":"<div><p>With the wide application of the Internet of Things (IoT), storing large amounts of IoT data and protecting data privacy has become a meaningful issue. In general, the access control mechanism is used to prevent illegal users from accessing private data. However, traditional data access control schemes face some non-ignorable problems, such as only supporting coarse-grained access control, the risk of centralization, and high trust issues. In this paper, an attribute-based data access control scheme using blockchain technology is proposed. To address these problems, attribute-based encryption (ABE) has become a promising solution for encrypted data access control. Firstly, we utilize blockchain technology to construct a decentralized access control scheme, which can grant data access with transparency and traceability. Furthermore, our scheme also guarantees the privacy of policies and attributes on the blockchain network. Secondly, we optimize an ABE scheme, which makes the size of system parameters smaller and improves the efficiency of algorithms. These optimizations enable our proposed scheme supports large attribute universe requirements in IoT environments. Thirdly, to prohibit attribute impersonation and attribute replay attacks, we design a challenge-response mechanism to verify the ownership of attributes. Finally, we evaluate the security and performance of the scheme. And comparisons with other related schemes show the advantages of our proposed scheme. Compared to existing schemes, our scheme has more comprehensive advantages, such as supporting a large universe, full security, expressive policy, and policy hiding.</p></div>","PeriodicalId":100605,"journal":{"name":"High-Confidence Computing","volume":"4 3","pages":"Article 100199"},"PeriodicalIF":3.2,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667295224000023/pdfft?md5=94aae462b2facd3898d43562d260127f&pid=1-s2.0-S2667295224000023-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140790567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent edge CDN with smart contract-aided local IoT sharing 利用智能合约辅助本地物联网共享的智能边缘 CDN

IF 3.2

High-Confidence Computing Pub Date : 2024-04-04 DOI: 10.1016/j.hcc.2024.100225

{"title":"Intelligent edge CDN with smart contract-aided local IoT sharing","authors":"","doi":"10.1016/j.hcc.2024.100225","DOIUrl":"10.1016/j.hcc.2024.100225","url":null,"abstract":"<div><div>A content delivery network (CDN) aims to reduce the content delivery latency to end-users by using distributed cache servers. Nevertheless, deploying and maintaining cache servers on a large scale is very expensive. To solve this problem, CDN providers have developed a new content delivery strategy: allowing end-users’s IoT edge devices to share their storage/bandwidth resources. This new edge CDN platform must address two core questions: (1) how can we incentivize end users to share IoT devices? (2) how can we facilitate a safe and transparent content transaction environment for end users? This paper introduces SmartSharing, a new content delivery network solution to address these questions. In smartSharing, the over-the-top (OTT) IoT devices belonging to end-users are used as mini-cache servers. To motivate end users to share the idle devices and storage/bandwidth resources, SmartSharing designs the content delivery schedule and the pricing scheme based on game theory and machine learning algorithms (specifically, a tailored expectation-maximization (EM) algorithm). To facilitate content trading among end users, SmartSharing creates a secure and transparent transaction platform based on smart contracts in Ethereum. In addition, SmartSharing’s performance evaluation is through trace-driven simulations in the real world and a prototype using content metadata and the achieved pricing schemes. The evaluation results show that CDN providers, end users and content providers can all benefit from our SmartSharing framework.</div></div>","PeriodicalId":100605,"journal":{"name":"High-Confidence Computing","volume":"4 4","pages":"Article 100225"},"PeriodicalIF":3.2,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140771215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Aquilo: Temperature-aware scheduler for millimeter-wave devices and networks Aquilo：毫米波设备和网络的温度感知调度器

IF 3.2

High-Confidence Computing Pub Date : 2024-03-27 DOI: 10.1016/j.hcc.2024.100223

{"title":"Aquilo: Temperature-aware scheduler for millimeter-wave devices and networks","authors":"","doi":"10.1016/j.hcc.2024.100223","DOIUrl":"10.1016/j.hcc.2024.100223","url":null,"abstract":"<div><div>Millimeter-wave is the core technology to enable multi-Gbps throughput and ultra-low latency connectivity. But the devices need to operate at very high frequency and ultra-wide bandwidth: They consume more energy, dissipate more power, and subsequently heat up faster. Device overheating is a common concern of many users, and millimeter-wave would exacerbate the problem. In this work, we first thermally characterize millimeter-wave devices. Our measurements reveal that after only 10 s of data transfer at 1.9 Gbps bit-rate, the millimeter-wave antenna temperature reaches 68°C; it reduces the link throughput by 21%, increases the standard deviation of throughput by 6<span><math><mo>×</mo></math></span>, and takes 130 s to dissipate the heat completely. Besides degrading the user experience, exposure to high device temperature also creates discomfort. Based on the measurement insights, we propose <em>Aquilo</em>, a temperature-aware, multi-antenna network scheduler. It maintains relatively high throughput performance but cools down the devices substantially. Our testbed experiments under both static and mobile conditions demonstrate that <em>Aquilo</em> achieves a median peak temperature only 0.5°C to 2°C above the optimal while sacrificing less than 10% of throughput.</div></div>","PeriodicalId":100605,"journal":{"name":"High-Confidence Computing","volume":"4 4","pages":"Article 100223"},"PeriodicalIF":3.2,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140404908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Device authentication for 5G terminals via Radio Frequency fingerprints 通过射频指纹对 5G 终端进行设备验证

IF 3.2

High-Confidence Computing Pub Date : 2024-03-26 DOI: 10.1016/j.hcc.2024.100222

{"title":"Device authentication for 5G terminals via Radio Frequency fingerprints","authors":"","doi":"10.1016/j.hcc.2024.100222","DOIUrl":"10.1016/j.hcc.2024.100222","url":null,"abstract":"<div><div>The development of wireless communication network technology has provided people with diversified and convenient services. However, with the expansion of network scale and the increase in the number of devices, malicious attacks on wireless communication are becoming increasingly prevalent, causing significant losses. Currently, wireless communication systems authenticate identities through certain data identifiers. However, this software-based data information can be forged or replicated. This article proposes the authentication of device identity using the hardware fingerprint of the terminal’s Radio Frequency (RF) components, which possesses properties of being genuine, unique, and stable, holding significant implications for wireless communication security. Through the collection and processing of raw data, extraction of various features including time-domain and frequency-domain features, and utilizing machine learning algorithms for training and constructing a legal fingerprint database, it is possible to achieve close to a 97% recognition accuracy for Fifth Generation (5G) terminals of the same model. This provides an additional and robust hardware-based security layer for 5G communication security, enhancing monitoring capability and reliability.</div></div>","PeriodicalId":100605,"journal":{"name":"High-Confidence Computing","volume":"4 4","pages":"Article 100222"},"PeriodicalIF":3.2,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140404945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Graph isomorphism—Characterization and efficient algorithms 图同构--特征和高效算法

IF 3.2

High-Confidence Computing Pub Date : 2024-03-26 DOI: 10.1016/j.hcc.2024.100224

引用次数: 0

A comprehensive study on IoT privacy and security challenges with focus on spectrum sharing in Next-Generation networks (5G/6G/beyond) 以下一代网络（5G/6G/beyond）频谱共享为重点的物联网隐私和安全挑战综合研究

High-Confidence Computing Pub Date : 2024-03-12 DOI: 10.1016/j.hcc.2024.100220

Lakshmi Priya Rachakonda , Madhuri Siddula , Vanlin Sathya

{"title":"A comprehensive study on IoT privacy and security challenges with focus on spectrum sharing in Next-Generation networks (5G/6G/beyond)","authors":"Lakshmi Priya Rachakonda , Madhuri Siddula , Vanlin Sathya","doi":"10.1016/j.hcc.2024.100220","DOIUrl":"10.1016/j.hcc.2024.100220","url":null,"abstract":"<div><p>The emergence of the Internet of Things (IoT) has triggered a massive digital transformation across numerous sectors. This transformation requires efficient wireless communication and connectivity, which depend on the optimal utilization of the available spectrum resource. Given the limited availability of spectrum resources, spectrum sharing has emerged as a favored solution to empower IoT deployment and connectivity, so adequate planning of the spectrum resource utilization is thus essential to pave the way for the next generation of IoT applications, including 5G and beyond. This article presents a comprehensive study of prevalent wireless technologies employed in the field of the spectrum, with a primary focus on spectrum-sharing solutions, including shared spectrum. It highlights the associated security and privacy concerns when the IoT devices access the shared spectrum. This survey examines the benefits and drawbacks of various spectrum-sharing technologies and their solutions for various IoT applications. Lastly, it identifies future IoT obstacles and suggests potential research directions to address them.</p></div>","PeriodicalId":100605,"journal":{"name":"High-Confidence Computing","volume":"4 2","pages":"Article 100220"},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667295224000230/pdfft?md5=bdf9742a3a93b2c58a0a21f62393cc7c&pid=1-s2.0-S2667295224000230-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140276247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adversarial robustness analysis of LiDAR-included models in autonomous driving 自动驾驶中包含激光雷达模型的对抗鲁棒性分析

High-Confidence Computing Pub Date : 2024-03-01 DOI: 10.1016/j.hcc.2024.100203

Bo Yang , Zizhi Jin , Yushi Cheng , Xiaoyu Ji , Wenyuan Xu

{"title":"Adversarial robustness analysis of LiDAR-included models in autonomous driving","authors":"Bo Yang , Zizhi Jin , Yushi Cheng , Xiaoyu Ji , Wenyuan Xu","doi":"10.1016/j.hcc.2024.100203","DOIUrl":"10.1016/j.hcc.2024.100203","url":null,"abstract":"<div><p>In autonomous driving systems, perception is pivotal, relying chiefly on sensors like LiDAR and cameras for environmental awareness. LiDAR, celebrated for its detailed depth perception, is being increasingly integrated into autonomous vehicles. In this article, we analyze the robustness of four LiDAR-included models against adversarial points under physical constraints. We first introduce an attack technique that, by simply adding a limited number of physically constrained adversarial points above a vehicle, can make the vehicle undetectable by the LiDAR-included models. Experiments reveal that adversarial points adversely affect the detection capabilities of both LiDAR-only and LiDAR–camera fusion models, with a tendency for more adversarial points to escalate attack success rates. Notably, voxel-based models are more susceptible to deception by these adversarial points. We also investigated the impact of the distance and angle of the added adversarial points on the attack success rate. Typically, the farther the victim object to be hidden and the closer to the front of the LiDAR, the higher the attack success rate. Additionally, we have experimentally proven that our generated adversarial points possess good cross-model adversarial transferability and validated the effectiveness of our proposed optimization method through ablation studies. Furthermore, we propose a new plug-and-play, model-agnostic defense method based on the concept of point smoothness. The ROC curve of this defense method shows an AUC value of approximately 0.909, demonstrating its effectiveness.</p></div>","PeriodicalId":100605,"journal":{"name":"High-Confidence Computing","volume":"4 1","pages":"Article 100203"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667295224000060/pdfft?md5=7e68638f7a7e1d0186a514efa45060f4&pid=1-s2.0-S2667295224000060-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139539738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Privacy-preserving human activity sensing: A survey 保护隐私的人类活动传感：调查

High-Confidence Computing Pub Date : 2024-03-01 DOI: 10.1016/j.hcc.2024.100204

Yanni Yang , Pengfei Hu , Jiaxing Shen , Haiming Cheng , Zhenlin An , Xiulong Liu

引用次数: 0

Cooperative multi-agent game based on reinforcement learning 基于强化学习的多代理合作游戏

High-Confidence Computing Pub Date : 2024-03-01 DOI: 10.1016/j.hcc.2024.100205

Hongbo Liu

{"title":"Cooperative multi-agent game based on reinforcement learning","authors":"Hongbo Liu","doi":"10.1016/j.hcc.2024.100205","DOIUrl":"10.1016/j.hcc.2024.100205","url":null,"abstract":"<div><p>Multi-agent reinforcement learning holds tremendous potential for revolutionizing intelligent systems across diverse domains. However, it is also concomitant with a set of formidable challenges, which include the effective allocation of credit values to each agent, real-time collaboration among heterogeneous agents, and an appropriate reward function to guide agent behavior. To handle these issues, we propose an innovative solution named the Graph Attention Counterfactual Multiagent Actor–Critic algorithm (GACMAC). This algorithm encompasses several key components: First, it employs a multi-agent actor–critic framework along with counterfactual baselines to assess the individual actions of each agent. Second, it integrates a graph attention network to enhance real-time collaboration among agents, enabling heterogeneous agents to effectively share information during handling tasks. Third, it incorporates prior human knowledge through a potential-based reward shaping method, thereby elevating the convergence speed and stability of the algorithm. We tested our algorithm on the StarCraft Multi-Agent Challenge (SMAC) platform, which is a recognized platform for testing multi-agent algorithms, and our algorithm achieved a win rate of over 95% on the platform, comparable to the current state-of-the-art multi-agent controllers.</p></div>","PeriodicalId":100605,"journal":{"name":"High-Confidence Computing","volume":"4 1","pages":"Article 100205"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667295224000084/pdfft?md5=0bf06b4b71bd2935634b00877ef59fba&pid=1-s2.0-S2667295224000084-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139539639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0