区块链技术与应用前瞻综述 (Survey on Blockchain Technology and Its Application Prospect).

Source location privacy (SLP) protection is an emerging research topic in wireless sensor networks (WSNs). Because the source location represents the valuable information of the target being monitored and tracked, it is of great practical significance to achieve a high degree of privacy of the source location. Although many studies based on phantom nodes have alleviates the protection of source location privacy to some extent. It is urgent to solve the problems such as complicate the ac path between nodes, improve the centralized distribution of Phantom nodes near the source nodes and reduce the network communication overhead. In this paper, PSSPR routing is proposed as a visable approach to address SLP issues. We use the coordinates of the center node V to divide sector-domain, which act as important role in generating a new phantom nodes. The phantom nodes perform specified routing policies to ensure that they can choose various locations. In addition, the directed random route can ensure that data packets avoid the visible range when they move to the sink node hop by hop. Thus, the source location is protected. Theoretical analysis and simulation experiments show that this protocol achieves higher security of source node location with less communication overhead.

PSSPR: A source location privacy protection scheme based on sector phantom routing in WSNs

The development of Internet of Things (IoT) and Mobile Edge Computing (MEC) has led to close cooperation between electronic devices. It requires strong reliability and trustworthiness of the devices involved in the communication. However, current trust mechanisms have the following issues: (1) heavily relying on a trusted third party, which may incur severe security issues if it is corrupted, and (2) malicious evaluations on the involved devices which may bias the trustrank of the devices. By introducing the concepts of risk management and blockchain into the trust mechanism, we here propose a blockchain-based trust mechanism for distributed IoT devices in this paper. In the proposed trust mechanism, trustrank is quantified by normative trust and risk measures, and a new storage structure is designed for the domain administration manager to identify and delete the malicious evaluations of the devices. Evidence shows that the proposed trust mechanism can ensure data sharing and integrity, in addition to its resistance against malicious attacks to the IoT devices.

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Wireless Communications and Mobile Computing Blockchain-Based Trust Management in Distributed Internet of Things

Distributed computing (CC), without unequivocal and direct use oversight, gives the chance of on request admittance to arrange framework, specifically to information handling and capacity limits. As of late, CC has emerged as a network of public and private server farms giving a typical online interface to customers. Edge registering is a developing model of figuring that takes handling and capacity closer to end-clients to build reaction times and capacity for reinforcement move. Versatile CC (MCC) pushes programming to cell phones by utilizing disseminated figuring. Registering and edge processing, in any case, are confronting security issues, including framework weaknesses and association identification, that quickly postpones figuring models’ acknowledgment. The investigation of PC algo-lithms, which definitely create through training, is AI (ML). We assess security dangers, difficulties and arrangements that utilization at least one ML calculations in this examination report. In this report we have We study various AI calculations, including regulated, unattended, semi-administered, and improved learning, used to tackle cloud security issues. At that point we look at every innovation ’s proficiency dependent on its properties, advantages and burdens. Besides, we have potential testing suggestions to stable CC models.

Cloud Computing Security For Algorithms

Smart vehicles-enabled intelligent transportation system (ITS) supports a wide range of applications, such as, but not limited to, traffic planning and management, collision avoidance alert system, automated road speed enforcement, electronic toll collection, and real-time parking management, to name a few. However, it suffers from various types of security and privacy issues due to insecure communication among the entities over public channels. Therefore, an efficient and lightweight security mechanism is essential to protect the data that is both at rest as well as in transit. To this direction, we propose a public blockchain-envisioned secure communication framework for ITS (PBSCF-ITS). The proposed PBSCF-ITS guarantees access control and key management among the vehicle to vehicle, vehicle to roadside unit, and roadside unit to cloud server. We analyze the security of PBSCF-ITS to prove its resilience against various types of possible attacks. Furthermore, the performance of PBSCF-ITS with other related competing schemes has been compared. The obtained results illustrate that PBSCF-ITS outperforms the existing ones. Additionally, the pragmatic study of PBSCF-ITS is conducted to check its influence on various network-related performance parameters, like the number of mined blocks and transactions per block.

Fortifying Smart Transportation Security Through Public Blockchain

Cloud computing has emerged as a promising paradigm for the Internet of Things (IoT) and Cyber-Physical-Social Systems (CPSS). However, the problem of how to ensure the security of data transmission and data storage in CPSS is a key issue to address. We need to protect the confidentiality and privacy of users’ data and users’ identity during the transmission and storage process in CPSS. In order to avoid users’ personal information leakage from IoT devices during the process of data processing and transmitting, we propose a certificateless encryption scheme, and conduct a security analysis under the assumption of Computational Diffie-Hellman(CDH) Problem. Furthermore, based on the proposed cryptography mechanism, we achieve a novel anonymous communication protocol to protect the identity privacy of communicating units in CPSS. In the new protocol, an anonymous communication link establishment method and an anonymous communication packet encapsulation format are proposed. The Diffie-Hellman key exchange algorithm is used to construct the anonymous keys distribution method in the new link establishment method. And in the new onion routing packet encapsulation format, the session data are firstly separated from the authentication data to decrease the number of cryptography operations. That is, by using the new onion routing packet we greatly reduces the encryption operations and promotes the forwarding efficiency of anonymous messages, implementing the privacy, security and efficiency in anonymous communication in cyber-physical-social systems.

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Privacy-Aware Secure Anonymous Communication Protocol in CPSS Cloud Computing

A systematic mapping study for blockchain based on complex network

Pests and diseases of tomato fruits are the foremost factors leading to the reduction in produce quantity. Effective and prompt differentiation of these lesion symptoms is essential for agricultural production. Due to the lack of a global receptive field, commonly used convolution neural network models restrict the capability on tomato images under complicated backgrounds. In this paper, we present an efficient and robust method for field diagnosis of tomato fruits based on the context data fusion and capsule network. First, in order to make better the point of inadequate images, the Cycle-GAN algorithm is used to realize the augmentation of the diseases dataset. To improve the quality of the generated images, the feature reconstruction loss function is proposed for the Cycle-GAN method, named Fruit-GAN. The proposed Fruit-GAN learns features of healthy and diseased tomatoes, respectively, and forms lesions based on healthy tomato fruit images. Adding lesion tomato images produced on Fruit-GAN to training sets improves the diagnostic capability compared to classical data augmentation techniques. Subsequently, context fusion studies were used to construct intermediate feature maps from different layers into the fruit diseases recognition compact representation to efficiently leverage the feature reuse mechanism. Finally, the fusion model’s enlightened multi-scale capsule network is integrated to form deep features and determine the disease diagnosis. After analyzing the hyper-parameters, the integral technique provides 96.16% accuracy. This research of tomato diseases diagnosis demonstrates the context capsule network model is efficient and establishes a foundation for tomato fruits determination in natural growing environment. 

Context Data Fusion Model Enlightened Multi-Scale Capsule Network for Fruit Diseases Identification

In this paper, we propose a new Trusted Service Evaluation (TSE) model based on the service-oriented social network, which can realize user feedback and collect comments safely and efficiently. Each service provider independently maintains a TSE for itself, which collects and stores users’ comments about its services without requiring any third trusted authority. The service comments can then be made available to interested users in making wise service selection decisions. Specifically, this new service evaluation model enables users to collaboratively submit comments by using a new digital signature scheme. It restricts the service providers to reject, modify, or delete the comments. Thus, the integrity and authenticity of comments are improved. Through security analysis and performance evaluation, it is proved that this new trustworthy service evaluation model achieves better performance in terms of current service review system submission rate, and can effectively resist mainstream service comment attacks.

Dongfeng Wang

Papers

Wireless Communications and Mobile Computing Blockchain-Based Trust Management in Distributed Internet of Things

Privacy-Aware Secure Anonymous Communication Protocol in CPSS Cloud Computing

A systematic mapping study for blockchain based on complex network

Context Data Fusion Model Enlightened Multi-Scale Capsule Network for Fruit Diseases Identification

Research and Application of Trusted Service Evaluation Model in Social Network