Direct Acyclic Graph-Based Ledger for Internet of Things: Performance and Security Analysis

This chapter explores the encryption techniques used for the internet of things (IoT). The security algorithm used for IoT should follow many constraints of an embedded system. Hence, lightweight cryptography is an optimum security solution for IoT devices. This chapter mainly describes the need for security in IoT, the concept of lightweight cryptography, and various cryptographic algorithms along with their shortcomings given IoT. This chapter also describes the principle of operation of all the above algorithms along with their security analysis. Moreover, based on the algorithm size (i.e., the required number of gate equivalent, block size, key size, throughput, and execution speed of the algorithm), the chapter reports the comparative analysis of their performance. The chapter discusses the merits and demerits of these algorithms along with their use in the IoT system.

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Internet of Things (IOT) in Healthcare – Smart Health and Surveillance, Architectures, Security Analysis and Data Transfer

International Journal of Software Innovation ◽

10.4018/ijsi.2019040103 ◽

2019 ◽

Vol 7 (2) ◽

pp. 21-40 ◽

Cited By ~ 13

Author(s):

Parthasarathy Panchatcharam ◽

Vivekanandan S.

Keyword(s):

Health Care ◽

Internet Of Things ◽

Data Transfer ◽

Security Analysis ◽

Healthcare Services ◽

The Internet ◽

Quality Health Care ◽

Smart Healthcare ◽

Smart Health ◽

The Internet Of Things

Wellbeing is fundament requirement. What's more, it is human appropriate to get quality health care. These days, India is confronting numerous medical problems in light of fewer assets. This survey article displays the idea of solving health issues by utilizing a recent innovation, the Internet of Things (IOT). The Internet of Things with their developing interdisciplinary applications has changed our lives. Smart health care being one such IoT application interfaces brilliant gadgets, machines, patients, specialists, and sensors to the web. At long last, the difficulties and prospects of the improvement of IoT-based medicinal service frameworks are talked about in detail. This review additionally summarizes the security and protection worries of IoT, administrations and application of IoT and smart healthcare services that have changed the customary medicinal services framework by making healthcare administration more proficient through their applications.

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Design and Security Analysis of a Fragment of Internet of Things Telecommunication System

Automatic Control and Computer Sciences ◽

10.3103/s0146411619070241 ◽

2019 ◽

Vol 53 (7) ◽

pp. 851-856

Author(s):

V. A. Alexandrov ◽

V. A. Desnitsky ◽

D. Y. Chaly

Keyword(s):

Internet Of Things ◽

Security Analysis ◽

Telecommunication System

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A Secure Authentication and Key Agreement Scheme for IoT-Based Cloud Computing Environment

Symmetry ◽

10.3390/sym12010150 ◽

2020 ◽

Vol 12 (1) ◽

pp. 150 ◽

Cited By ~ 2

Author(s):

Yicheng Yu ◽

Liang Hu ◽

Jianfeng Chu

Keyword(s):

Cloud Computing ◽

Internet Of Things ◽

Secure Communication ◽

Key Agreement ◽

Security Analysis ◽

Computing Environment ◽

Cloud Computing Environment ◽

Authentication And Key Agreement ◽

Insider Attack ◽

Cloud Servers

The integration of Internet of things (IoT) and cloud computing technology has made our life more convenient in recent years. Cooperating with cloud computing, Internet of things can provide more efficient and practical services. People can accept IoT services via cloud servers anytime and anywhere in the IoT-based cloud computing environment. However, plenty of possible network attacks threaten the security of users and cloud servers. To implement effective access control and secure communication in the IoT-based cloud computing environment, identity authentication is essential. In 2016, He et al. put forward an anonymous authentication scheme, which is based on asymmetric cryptography. It is claimed that their scheme is capable of withstanding all kinds of known attacks and has good performance. However, their scheme has serious security weaknesses according to our cryptanalysis. The scheme is vulnerable to insider attack and DoS attack. For overcoming these weaknesses, we present an improved authentication and key agreement scheme for IoT-based cloud computing environment. The automated security verification (ProVerif), BAN-logic verification, and informal security analysis were performed. The results show that our proposed scheme is secure and can effectively resist all kinds of known attacks. Furthermore, compared with the original scheme in terms of security features and performance, our proposed scheme is feasible.

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

Electronics ◽

10.3390/electronics8090978 ◽

2019 ◽

Vol 8 (9) ◽

pp. 978 ◽

Cited By ~ 1

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.

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