scholarly journals A Security Transmission and Storage Solution about Sensing Image for Blockchain in the Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 916 ◽  
Author(s):  
Yunfa Li ◽  
Yifei Tu ◽  
Jiawa Lu ◽  
Yunchao Wang
Keyword(s):  
Internet Of Things ◽  
High Reliability ◽  
Rapid Development ◽  
Security Requirements ◽  
The Internet ◽  
Image Information ◽  
Security Issues ◽  
And Storage ◽  
The Internet Of Things ◽  
Storage Solution

With the rapid development of the Internet of Things (IoT), the number of IoT devices has increased exponentially. Therefore, we have put forward higher security requirements for the management, transmission, and storage of massive IoT data. However, during the transmission process of IoT data, security issues, such as data theft and forgery, are prone to occur. In addition, most existing data storage solutions are centralized, i.e., data are stored and maintained by a centralized server. Once the server is maliciously attacked, the security of IoT data will be greatly threatened. In view of the above-mentioned security issues, a security transmission and storage solution is proposed about sensing image for blockchain in the IoT. Firstly, this solution intelligently senses user image information, and divides these sensed data into intelligent blocks. Secondly, different blocks of data are encrypted and transmitted securely through intelligent encryption algorithms. Finally, signature verification and storage are performed through an intelligent verification algorithm. Compared with the traditional IoT data transmission and centralized storage solution, our solution combines the IoT with the blockchain, making use of the advantages of blockchain decentralization, high reliability, and low cost to transfer and store users image information securely. Security analysis proves that the solution can resist theft attacks and ensure the security of user image information during transmission and storage.

scholarly journals Internet of Things Meet Internet of Threats: New Concern Cyber Security Issues of Critical Cyber Infrastructure

2021 ◽  
Vol 11 (10) ◽  
pp. 4580
Author(s):  
Amir Djenna ◽  
Saad Harous ◽  
Djamel Eddine Saidouni
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Critical Analysis ◽  
Rapid Development ◽  
Security Requirements ◽  
Critical Infrastructures ◽  
Security Issues ◽  
Cyber Threats ◽  
International Issue ◽  
The Internet Of Things

As a new area of technology, the Internet of Things (IoT) is a flagship and promising paradigm for innovating society. However, IoT-based critical infrastructures are an appealing target for cybercriminals. Such distinctive infrastructures are increasingly sensitive to cyber vulnerabilities and subject to many cyberattacks. Thus, protecting these infrastructures is a significant issue for organizations and nations. In this context, raising the cybersecurity posture of critical cyber infrastructures is an extremely urgent international issue. In addition, with the rapid development of adversarial techniques, current cyber threats have become more sophisticated, complicated, advanced and persistent. Thus, given these factors, prior to implementing efficient and resilient cybersecurity countermeasures, identification and in-depth mapping of cyber threats is an important step that is generally overlooked. Therefore, to solve cybersecurity challenges, this study presents a critical analysis of the most recent cybersecurity issues for IoT-based critical infrastructures. We then discuss potential cyber threats and cyber vulnerabilities and the main exploitation strategies adopted by cybercriminals. Further, we provide a taxonomy of cyberattacks that may affect critical cyber infrastructures. Finally, we present security requirements and some realistic recommendations to enhance cybersecurity solutions.

Security in the Internet of Things

2018 ◽  
pp. 105-121
Author(s):  
Ahmed Maarof ◽  
Mohamed Senhadji ◽  
Zouheir Labbi ◽  
Mostafa Belkasmi
Keyword(s):  
Internet Of Things ◽  
Security Requirements ◽  
The Internet ◽  
Security Threats ◽  
Iot Security ◽  
Implementation Challenges ◽  
Security Issues ◽  
The Internet Of Things

In this chapter, the authors present a review of security requirements for IoT and provide an analysis of the possible attacks, security issues, and major security threats from the perspective of layers that comprise IoT. To overcome these limitations, the authors describe a security implementation challenges in IoT security. This chapter serves as a manual of security threats and issues of the IoT and proposes possible solutions and recommendations for improving security in the IoT environment.

A Review of Cryptographic Algorithms for the Internet of Things

2019 ◽  
pp. 67-93 ◽  
Author(s):  
Issmat Shah Masoodi ◽  
Bisma Javid
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
The Internet ◽  
Reference Architecture ◽  
Memory Space ◽  
Security Issues ◽  
Research Challenges ◽  
Short Period ◽  
Cryptographic Algorithms ◽  
The Internet Of Things

There are various emerging areas in which profoundly constrained interconnected devices connect to accomplish specific tasks. Nowadays, internet of things (IoT) enables many low-resource and constrained devices to communicate, do computations, and make smarter decisions within a short period. However, there are many challenges and issues in such devices like power consumption, limited battery, memory space, performance, cost, and security. This chapter presents the security issues in such a constrained environment, where the traditional cryptographic algorithms cannot be used and, thus, discusses various lightweight cryptographic algorithms in detail and present a comparison between these algorithms. Further, the chapter also discusses the power awakening scheme and reference architecture in IoT for constrained device environment with a focus on research challenges, issues, and their solutions.

scholarly journals A systematic Study of Security Challenges and Infrastructures for Internet of Things

2018 ◽  
Vol 7 (4.36) ◽  
pp. 700
Author(s):  
N. Koteswara Rao ◽  
Gandharba Swain
Keyword(s):  
Internet Of Things ◽  
Secure Communication ◽  
Smart Cities ◽  
Security Requirements ◽  
The Internet ◽  
Security Challenges ◽  
Authentication And Authorization ◽  
New Applications ◽  
Privacy And Anonymity ◽  
The Internet Of Things

The proliferation of smart objects with capability of sensing, processing and communication has grown in recent years. In this scenario, the Internet of Things (IoT) connects these objects to the Internet and provides communication with users and devices. IoT enables a huge amount of new applications, with which academics and industries can benefit, such as smart cities, health care and automation. In this environment, compose of constrained devices, the widespread adoption of this paradigm depends of security requirements like secure communication between devices, privacy and anonymity of its users. This paper presents the main security challenges and solutions to provide authentication and authorization on the Internet of Things. 

A Survey of Authentication Schemes in the Internet of Things

2019 ◽  
Vol 6 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Yasmine Labiod ◽  
Abdelaziz Amara Korba ◽  
Nacira Ghoualmi-Zine
Keyword(s):  
Internet Of Things ◽  
Security Requirements ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Depth Study ◽  
Authentication Schemes ◽  
Iot Devices ◽  
Privacy Issues ◽  
The Internet Of Things

In the recent years, the Internet of Things (IoT) has been widely deployed in different daily life aspects such as home automation, electronic health, the electric grid, etc. Nevertheless, the IoT paradigm raises major security and privacy issues. To secure the IoT devices, many research works have been conducted to counter those issues and discover a better way to remove those risks, or at least reduce their effects on the user's privacy and security requirements. This article mainly focuses on a critical review of the recent authentication techniques for IoT devices. First, this research presents a taxonomy of the current cryptography-based authentication schemes for IoT. In addition, this is followed by a discussion of the limitations, advantages, objectives, and attacks supported of current cryptography-based authentication schemes. Finally, the authors make in-depth study on the most relevant authentication schemes for IoT in the context of users, devices, and architecture that are needed to secure IoT environments and that are needed for improving IoT security and items to be addressed in the future.

scholarly journals Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of Things

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 978 ◽  
Author(s):  
Yunfa Li ◽  
Yifei Tu ◽  
Jiawa Lu
Keyword(s):  
Internet Of Things ◽  
Security Analysis ◽  
Identity Authentication ◽  
The Internet ◽  
Local Domain ◽  
Security Issues ◽  
Single Identity ◽  
Sensor Information ◽  
Increasing Demand ◽  
The Internet Of Things

With the increasing demand for intelligent services of the Internet of Things (IoT), its security issues have attracted widespread attention recently. Since most of the existing identity authentication policies are based on a single authentication mode, they are highly likely to cause problems such as illegal operation and stealing of sensor information. In order to meet the needs of increasing IoT users for the security management of intelligent services, a multi-point collaborative authentication method based on user image intelligent collection for the security problems faced by IoT in identity authentication is proposed in the paper. This method firstly collects the identity of the legal user through the intelligent collection technology and then realizes the identity authentication of the unidentified user through the collaborative authentication between the local domain management machine, the back-end image management machine, and the cloud server. Compared with the traditional single identity authentication method, our method uses three-party collaborative authentication to avoid the problem of sensor information stealing easily caused by a single authentication method, which makes the user’s identity authentication more secure and effective. The security analysis shows that the method is able to resist multiple attacks and prevent the sensor information from being illegally operated and stolen, protecting the security of the sensor information.

Detection of False Data Injection Attack in the Internet of Things

2012 ◽  
Vol 452-453 ◽  
pp. 932-936
Author(s):  
Xiang Dong Hu ◽  
Peng Qin Yu
Keyword(s):  
Internet Of Things ◽  
Rapid Development ◽  
Sensor Nodes ◽  
The Internet ◽  
Malicious Nodes ◽  
High Detection ◽  
Detection Ratio ◽  
False Data Injection Attack ◽  
The Internet Of Things ◽  
Ubiquitous Network

With the rapid development of ubiquitous network and its applications, the key technologies of the Internet of things are actively researched all over the world. The Internet of things has tremendous attraction for adversaries, and it is easily attacked due to poor resource and non-perfect distribution of sensor nodes, then false data maybe be injected into network. Security is one of the most important demands for applications in the Internet of things, an algorithm of malicious nodes detection is proposed to protect the network from destruction based on weighted confidence filter, namely, the cluster heads take charge of collecting messages from nodes and computing their average of confidence in cluster-based network, then they aggregate data from nodes with higher confidence than average and ignore the others, they update confidence of each node by comparing the aggregation value and the received data, and regard it as the weight of exactness of message from node. A sensor node is judged to be a malicious one if its weight is lower than the set threshold. The simulation results show that the algorithm can detect malicious nodes with high detection ratio, low false alarm ratio and outstanding scalability.

scholarly journals Grid-PPPS: A Skyline Method for Efficiently Handling Top-kQueries in Internet of Things

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Sun-Young Ihm ◽  
Aziz Nasridinov ◽  
Young-Ho Park
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Rapid Development ◽  
The Internet ◽  
Space Partitioning ◽  
Data Space ◽  
Index Building ◽  
Representative Skyline ◽  
The Internet Of Things ◽  
Grid Based

A rapid development in wireless communication and radio frequency technology has enabled the Internet of Things (IoT) to enter every aspect of our life. However, as more and more sensors get connected to the Internet, they generate huge amounts of data. Thus, widespread deployment of IoT requires development of solutions for analyzing the potentially huge amounts of data they generate. A top-kquery processing can be applied to facilitate this task. The top-kqueries retrievektuples with the lowest or the highest scores among all of the tuples in the database. There are many methods to answer top-kqueries, where skyline methods are efficient when considering all attribute values of tuples. The representative skyline methods are soft-filter-skyline (SFS) algorithm, angle-based space partitioning (ABSP), and plane-project-parallel-skyline (PPPS). Among them, PPPS improves ABSP by partitioning data space into a number of spaces using hyperplane projection. However, PPPS has a high index building time in high-dimensional databases. In this paper, we propose a new skyline method (called Grid-PPPS) for efficiently handling top-kqueries in IoT applications. The proposed method first performs grid-based partitioning on data space and then partitions it once again using hyperplane projection. Experimental results show that our method improves the index building time compared to the existing state-of-the-art methods.

Research on Micro-Certificate Based Security System for Internet of Things

2012 ◽  
Vol 263-266 ◽  
pp. 3125-3129
Author(s):  
Li Ping Du ◽  
Ying Li ◽  
Guan Ning Xu ◽  
Fei Duan
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Rapid Development ◽  
Security System ◽  
Security Requirements ◽  
Full Account ◽  
Chip Technology ◽  
Cryptographic Algorithms ◽  
Encryption Decryption ◽  
The Internet Of Things

The rapid development of internet of things puts forward urgent needs for security. The security system must be studied to adapt to the characteristics of the internet of things. The micro- certificate based security system for internet of things takes full account of the security characteristics of things, and uses the symmetric cryptographic algorithms and security chip technology. This security system can meet the security requirements for large-scale sensor’s authentication, signification and encryption/decryption in internet of things, and improve the security performance of internet of things greatly.

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