检索结果-内蒙古大学图书馆

Secure and Efficient Blockchain-Based Access Control Scheme with Attribute Update

IEEE Transactions on Consumer Electronics 2024年第1期71卷 1539-1550页

作者： Zuo, Yuting Xu, Li Li, Jiguo Li, Jie Wang, Xiaoding Piran, Md. Jalil Fujian Normal University College of Computer and Cyber Security Fujian Provincial Key Laboratory of Network Security and Cryptology Fuzhou350117 China Lab Shanghai200240 China Sejong University Department of Computer Science and Engineering Seoul05006 Korea Republic of

Secure data access control is widely concerned in cyber Physical Systems (CPSs) to protect consumer rights. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is an ideal solution that supports fine-grained access control. It is a pity that they fail to consider the attribute control and the verifiable legitimacy when consumer's attributes are updated. Additionally, the existing revocable CP-ABE schemes are unsuitable for resource-constrained consumer electronic devices due to their high computational and storage overhead. This paper proposes a blockchain-based access control scheme with attribute update. A new revocation mechanism is designed to guarantee the forward/backward security of the attribute update. The lightweight ciphertext update protocol is proposed to optimize the computation cost. To realize secure and efficient attribute management, this paper designs the on-chain/off-chain separation storage mode, and proposes the traceability-based attribute set generation and validation algorithm. This paper performs the formal security proof. The experimental results demonstrate that the scheme is efficient in terms of encryption and decryption. © 1975-2011 IEEE.

关键词： Ciphertext

来源：评论

学校读者我要写书评

暂无评论

Real-time Autonomous Vehicle Maneuver Generation Algorithm Based on Hierarchical Planning 24

Real-time Autonomous Vehicle Maneuver Generation Algorithm B...

引用

2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence, DEAI 2024

作者： Zhai, WenHao School of Computer Science and Engineering School of Cyber Security University of Electronic Science and Technology of China Sichua Chengdu China

ISBN: (纸本)9798400717147

Global path planning, whether based on sampling-based algorithms or heuristic search algorithms, can search for a global path from the start point to the destination in a relatively short time. However, they often struggle to avoid local obstacles and have limited adaptability to local dynamic environments, making it difficult to meet the requirements of obstacle avoidance in unknown environments. On the other hand, the local path planning DWA algorithm can perform online real-time planning and has excellent obstacle avoidance capabilities. However, in large-scale and complex environments, it may fail to obtain the optimal path or even reach the target point if there is a lack of intermediate waypoint guidance. Therefore, to leverage the strengths of both approaches, an instruction generation algorithm based on a hierarchical plan approach is introduced. This algorithm utilizes the global path points as relay points for the DWA algorithm, enabling real-time obstacle avoidance tasks. Finally, the superiority of the fusion algorithm is verified through comparative simulation experiments. © 2024 ACM.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

TRE-DSP:A traceable and revocable CP-ABE based data sharing scheme for IoV with partially hidden policy

引用

Digital Communications and Networks 2025年第2期11卷 455-464页

作者： Yousheng Zhou Rundong Peng Yuanni Liu Pandi Vijayakumar Brij Gupta College of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing 400065China College of Cyber Security and Information Law Chongqing University of Posts and TelecommunicationsChongqing 400065China Department of Computer Science and Engineering University College of EngineeringTindivanamMelpakkamTamil nadu 604001India Department of Computer Engineering National Institute of Technology KurukshetraIndia

With the popularity of the Internet of Vehicles(IoV),a large amount of data is being generated every *** to securely share data between the IoV operator and various value-added service providers becomes one of the critical *** to its flexible and efficient fine-grained access control feature,Ciphertext-Policy Attribute-Based Encryption(CP-ABE)is suitable for data sharing in ***,there are many flaws in most existing CP-ABE schemes,such as attribute privacy leakage and key *** paper proposes a Traceable and Revocable CP-ABE-based Data Sharing with Partially hidden policy for IoV(TRE-DSP).A partially hidden access structure is adopted to hide sensitive user attribute values,and attribute categories are sent along with the ciphertext to effectively avoid privacy *** addition,key tracking and malicious user revocation are introduced with broadcast encryption to prevent key *** the main computation task is outsourced to the cloud,the burden of the user side is relatively *** of security and performance demonstrates that TRE-DSP is more secure and practical for data sharing in IoV.

关键词： Privacy-preserving Attribute-based encryption Partially hidden policy Traceability User revocation Internet of vehicles

来源：评论

学校读者我要写书评

暂无评论

FEDA: Private-Preserving Data Aggregation for Smart Grid via Functional Encryption 21

FEDA: Private-Preserving Data Aggregation for Smart Grid via...

引用

21st International computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2024

作者： Zhenjiang, Li Hongwei, Li Xinyuan, Qian School of Computer Science and Engineering School of Cyber Security University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798331519254

Privacy-preserving data aggregation (P2DA) is a technique that enables the simultaneous availability of data and the preservation of privacy in smart grid systems. However, existing methods are only capable of fulfilling a subset of the essential criteria for the development of smart grids. The current methodologies are based on a number of strong assumptions, or else they result in an increase in the computational and communication overhead. To address this challenge, this paper introduces FEDA, a P2DA scheme based on functional encryption for smart grids, offering efficient encryption and decryption processes, along with verifiable aggregation. The results of our experiments demonstrate that our approach markedly reduces the computational and communication overheads in comparison to existing methods. Furthermore, it enhances the encryption speed by approximately eightfold and improves the aggregation and decryption efficiencies while maintaining a high level of security. © 2024 IEEE.

关键词： Data Aggregation Functional Encryption Privacy-preserving Smart Grid Verification

来源：评论

学校读者我要写书评

暂无评论

PPO-Based Mobile Robot Path Planning with Dense Bootstrap Reward in Partially Observable Environments 21

PPO-Based Mobile Robot Path Planning with Dense Bootstrap Re...

引用

21st International computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2024

作者： Shujie, Zhou School of Computer Science and Engineering School of Cyber Security University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798331519254

Path planning in large, complex environments poses significant challenges, as a single robot must efficiently navigate to its target while avoiding obstacles. Traditional algorithms often struggle to balance computational efficiency and planning accuracy. Reinforcement learning methods, while promising, frequently suffer from convergence issues due to difficult-to-tune hyperparameters and sparse reward signals. This paper introduces a Proximal Policy Optimization (PPO)-based path planning approach with a dense bootstrap reward mechanism. The proposed method enhances learning efficiency and ensures smooth navigation by incorporating a structured reward design, significantly improving the agent's path-planning performance in complex scenarios. We conducted simulation experiments in a classical warehouse environment to demonstrate the effectiveness and superiority of our proposed method. Compared to traditional rewards, our method significantly improves the pathfinding efficiency of deep reinforcement learning algorithms. © 2024 IEEE.

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Endogenous security of FQn Networks: Adaptive System-Level Fault Self-Diagnosis

引用

IEEE Transactions on Reliability 2024年第3期73卷 1659-1668页

作者： Lin, Yuhang Lin, Limei Huang, Yanze Xu, Li Hsieh, Sun-Yuan Fujian Normal University College of Computer and Cyber Security Fujian Provincial Key Laboratory of Network Security and Cryptology Fuzhou350117 China Fujian University of Technology School of Computer Science and Mathematics Fuzhou350118 China National Cheng Kung University Department of Computer Science and Information Engineering Tainan701 Taiwan

Endogenous security has the ability to discover, eliminate, and solve internal security problems and hidden dangers within the network, and is a superior technology to ensure future network security. The t/k-diagnosis strategy, as a strong and adaptive self-diagnosis strategy, is an important part for ensuring endogenous security. Moreover, the folded hypercube (FQn) as a data transmission network (e.g., optical network) topology offers new potential for the construction of large-scale, high data throughput, and low-latency systems, such as computing network, human-cyber-physical systems, and smart grid. However, there are few studies on endogenous security based on FQn networks. Therefore, this article designs an adaptive system-level fault self-diagnosis strategy, namely Fast t/k-Diagnosis Under Maeng-Malek Model (Ftk-DIAG-MM*) to diagnosis the faulty vertices in FQn network under the Maeng-Malek model (MM∗ mod). Then, we provide a proof of the algorithm correctness theoretically by the fault tolerance of FQn network. It is derived by theoretical derivation that the t/k-diagnosability inherent to the FQn network is (n+1)(k+1)-k(k+3)/2. The simulation experiments demonstrate that the designed Ftk-DIAG-MM∗ strategy can correctly diagnose all vertices within the range allowed by the diagnosability, and still has a great performance when it exceeds the range allowed by the diagnosability. It greatly enhances the fault diagnosis capability of FQn network in the circumstance of misdiagnosing a few vertices, which provides an important theoretical basis for the reliability and endogenous security of FQn networks. © 1963-2012 IEEE.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Omni Contextual Aggregation Networks for High-Fidelity Image Inpainting

引用

IEEE Transactions on Circuits and Systems for Video Technology 2025年第6期35卷 6129-6144页

作者： Peng, Jinjia Li, Mengkai Wang, Bingyan Wang, Huibing Hebei University School of Cyber Security and Computer Hebei China Hebei Machine Vision Engineering Research Center China Dalian Maritime University College of Information Science and Technology Liaoning China

Image inpainting aims to restore a realistic image from a damaged or incomplete version. Although Transformer-based methods have achieved impressive results by modeling long-range dependencies, the inherent quadratic complexity of canonical self-attention has typically led to these approaches adopting uni-dimensional modeling, which limits the model's ability to capture complex relationships from both spatial and channel dimensions. To this end, this paper exploits a novel attention paradigm termed Dynamic Omni-Attention Mechanism (DOAM) for simultaneously modeling pixel-interaction from both spatial and channel dimensions, and implements the information interaction across the omni-axis (i.e., spatial and channel) with linear computational complexity. In addition, to handle large-scale degradation, this paper proposes a Multi-band Feature Enhancement (MFE) module to enhance feature representation in downsampling, thus unlocking the potential of subsequent attentional interactions. Moreover, motivated by recent advances in image restoration, this paper incorporates a domain-related prior representation from CNN-based Network to modulate the features during proposed attention mechanism and feed-forward networks. Integrating the above designs into an encoder-decoder architecture, the proposed Omni Contextual Aggregation Networks (OCANet) achieve superior performance at lower parameters and time costs than the competitive baselines. Extensive experiments on CelebA-HQ, Paris Street View, FFHQ and Dunhuang datasets validate the efficacy of the proposed method. © 2025 IEEE.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

CSA4Rec: Collaborative Signals Augmentation Model Based on GCN for Recommendation 25th

CSA4Rec: Collaborative Signals Augmentation Model Based on ...

引用

25th International Conference on Web Information Systems engineering, WISE 2024

作者： Liu, Haibo Yu, Lianjie Si, Yali Liu, Jinglian School of Cyber Security and Computer Hebei University Baoding Baoding China School of Computer Science and Engineering Changshu Institute of Technology Suzhou China

ISBN: (纸本)9789819605699

Graph Convolution Network (GCN) is a potent deep learning methodology and GCN-based graph data augmentation methods excel in recommender systems. The augmented data, as the higher-order collaborative signals, is generated by pre-training the GCN model on raw data, before making the final prediction. Despite their success, three problems have always existed. First, during the pre-training phase, over-smooth and data sparsity have a serious impact on the quality of augmented graph data. Second, the influence degree of higher-order collaborative signals are difficult to control, resulting in unstable embeddings. Last, the output of the pre-trained model is only used to augment the data and is not utilized in subsequent training phases, leading to performance penalty. In this study, we propose an efficient Collaborative Signals Augmentation model based on GCN for Recommendation (CSA4Rec). In the pre-training phase, graph contrastive learning is utilized to generate distinct embeddings to address over-smooth and data sparsity. To manipulate the higher-order collaborative signals effectively, the signals are generated from raw data in the modeling phase and aggregated independently by GCN in the training phase. The Residual-like connection is employed to leverage the output of the pre-trained model to improve the convergence speed in the next training phase. Extensive experiments demonstrate the effectiveness and rationality of CSA4Rec. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Electromagnetic Radiation Effects in Human and Animal Health 14

Electromagnetic Radiation Effects in Human and Animal Health

引用

14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Singh, Jagjot Kumar, Sanu Johnson, Derick Mathew Savita Department of Computer Science Engineering Spl. Digital Forensics and Cyber Security India

Electromagnetic (EM) radiations are the waves of electromagnetic and magnetic field which are generated from electromagnetic devices. These radiations are dangerous to humans as well as animal health. Talking medically, in the human and animal body, these bioelectric signals cause different processes to occur. Exposing to larger EMradiations can cause disrupt in the natural work of the human body. These harmful radiations harm the body at the cellular level. According to the World Health Organization (WHO), the EMF radiations released by mobile phones and otherdevices are hazardous to humans. The objective of this review paper is to carry out a survey to know about the usage of mobile phones and laptops by people and will aware about the harmful impact of them. © Grenze Scientific Society, 2023.

关键词： Cellular telephones

来源：评论

学校读者我要写书评

暂无评论

Exploring the landscape of network security: a comparative analysis of attack detection strategies

引用

Journal of Ambient Intelligence and Humanized Computing 2024年第8期15卷 3211-3228页

作者： Rajesh Kanna, P. Santhi, P. Department of Computer Science and Engineering Bannari Amman Institute of Technology Tamil Nadu Erode India TIFAC-CORE in Cyber Security Amrita School of Engineering Amrita Vishwa Vidyapeetham Tamil Nadu Coimbatore India

The field of computer networking is experiencing rapid growth, accompanied by the swift advancement of internet tools. As a result, people are becoming more aware of the importance of network security. One of the primary concerns in ensuring security is the authority over domains, and network owners are striving to establish a common language to exchange security information and respond quickly to emerging threats. Given the increasing prevalence of various types of attacks, network security has become a significant challenge in the realm of computing. To address this, a multi-level distributed approach incorporating vulnerability identification, dimensioning, and countermeasures based on attack graphs has been developed. Implementing reconfigurable virtual systems as countermeasures significantly improves attack detection and mitigates the impact of attacks. Password-based authentication, for instance, can be susceptible to password cracking techniques, social engineering attacks, or data breaches that expose user credentials. Similarly, ensuring privacy during data transmission through encryption helps protect data from unauthorized access, but it does not guarantee the prevention of other types of attacks such as malware infiltration or insider threats. This research explores various techniques to achieve effective attack detection. Multiple research methods have been utilized and evaluated to identify the most suitable approach for network security and attack detection in the context of cloud computing. The analysis and implementation of diverse research studies demonstrate that the based signature intrusion detection method outperforms others in terms of precision, recall, F-measure, accuracy, reliability, and time complexity. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：