Security Issues and Protective Measures of the Internet of Things Architecture

2013 ◽  
Vol 765-767 ◽  
pp. 1007-1010
Author(s):  
Yun Chang Sang ◽  
Xin Gao
Keyword(s):  
Internet Of Things ◽  
Transport Layer ◽  
The Internet ◽  
Security Measures ◽  
Security Threat ◽  
Protective Measures ◽  
Healthy Development ◽  
Security Issues ◽  
The Government ◽  
The Internet Of Things

With the development of technology and applications of the Internet of Things, Things technology and industry being the attention from the government to enterprises and research institutions at different levels. The guarantee of Things safety is an important prerequisite to promote the healthy development of the Internet of Things. Articles oriented networking current mainstream architecture research from the three levels of perception layer, transport layer and application layer, the security threat of the Internet of Things, and appropriate security measures, provided for the establishment of the security architecture of the Internet of Things theoretical reference.

scholarly journals A Study of Threats, Vulnerabilities and Countermeasures: An IoT Perspective

2021 ◽  
Vol 8 (4) ◽  
pp. 39-45
Author(s):  
Yash Choudhary ◽  
B Umamaheswari ◽  
Vijeta Kumawat
Keyword(s):  
Remote Control ◽  
Internet Of Things ◽  
The Internet ◽  
Primary Concern ◽  
Security Measures ◽  
Security Issues ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Security Of Iot

IoT or the Internet of things refers to all the physical devices connected to the internet. IoT consists of computing devices that are web-enabled and have the capability of sensing, collecting, and sending data. IoT provides the ability to remote control appliances and has many more applications. Since IoT is becoming a big part of society, it is necessary to ensure that these devices provide adequate security measures. This paper discusses various security issues in IoT systems like threats, vulnerabilities and some countermeasures which can be used to provide some security. Developing a secure device is now more important than ever, as with the increase in digitization, much of a user’s data is available on these devices. Securing data is a primary concern in any system, as internet-enabled devices are easier to hack. The idea of this paper is to spread awareness and improve the security of IoT devices.

Security Research and Measures for the Internet of Things

2013 ◽  
Vol 748 ◽  
pp. 910-914
Author(s):  
Zhong Wei Zhou ◽  
Lei Shi
Keyword(s):  
Network Security ◽  
Internet Of Things ◽  
Transport Layer ◽  
Security And Privacy ◽  
The Internet ◽  
Security Threats ◽  
Security Model ◽  
Security Threat ◽  
Research Networking ◽  
The Internet Of Things

With the development of Internet of things, the security has become moreand more important. In order to make clear the internet of things existing security threats, provide a theoretical reference for Internet of things Security and privacy protection, this paper summarizes the internet of things security threat and the measures. According to the Internet of things main system frame, research the perception layer, transport layer and application layer seperately, analysis of the network security needs issues, research networking security model, and discuss the content of network security mechanisms, gives the corresponding safety measures and recommendations for all kinds of security threats.

scholarly journals A State of the Art Survey of Machine Learning Algorithms for IoT Security

2021 ◽  
pp. 12-34
Author(s):  
Alan Fuad Jahwar ◽  
Subhi R. M. Zeebaree
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Smart Cities ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Security Measures ◽  
Iot Security ◽  
Security Issues ◽  
The Internet Of Things

The Internet of Things (IoT) is a paradigm shift that enables billions of devices to connect to the Internet. The IoT's diverse application domains, including smart cities, smart homes, and e-health, have created new challenges, chief among them security threats. To accommodate the current networking model, traditional security measures such as firewalls and Intrusion Detection Systems (IDS) must be modified. Additionally, the Internet of Things and Cloud Computing complement one another, frequently used interchangeably when discussing technical services and collaborating to provide a more comprehensive IoT service. In this review, we focus on recent Machine Learning (ML) and Deep Learning (DL) algorithms proposed in IoT security, which can be used to address various security issues. This paper systematically reviews the architecture of IoT applications, the security aspect of IoT, service models of cloud computing, and cloud deployment models. Finally, we discuss the latest ML and DL strategies for solving various security issues in IoT networks.

Research on Security Issues of the Internet of Things

2014 ◽  
Vol 989-994 ◽  
pp. 4261-4264 ◽  
Author(s):  
Xiao Feng Wang
Keyword(s):  
Internet Of Things ◽  
Privacy Protection ◽  
Security Policies ◽  
The Internet ◽  
Application Layer ◽  
Security Threat ◽  
Network Layer ◽  
Security Issues ◽  
Policies And Measures ◽  
The Internet Of Things

According to the current mainstream architecture of the Internet of Things, Makes research on security threat of the Internet of things from the perception layer, network layer and application layer, Gives the corresponding security policies and measures. It provides the theoretical reference for security of the Internet of things and privacy protection.

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.

Design and Development of an Internet of Things (IoT)-Based Anti-Theft System in Museum Cultural Relics Using RFID

2022 ◽  
pp. 168-180
Author(s):  
Sasikumar Gurumoorthy ◽  
L. Venkateswara Reddy ◽  
Sudhakaran Periakaruppan
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
The Internet ◽  
Security Measures ◽  
Photographic Camera ◽  
The World ◽  
Unique Identity ◽  
Frequency Identification ◽  
Hardware Component ◽  
The Internet Of Things

Art colonnades and museums all over the world are the first option for individuals to visit for the enhancement of the cultural life of people. To ensure their safety, museums have established numerous cultural security measures. Traditional strategies do not obstruct their pace entirely. They only use a computer in the museum to check individuals at the entrance and exit. Therefore, the authors proposed a gallery anti-stealing device created on the internet-of-things (IoT) technology that ensures security through passive readers/writers of RFID. Radio frequency identification (RFID) remains a system that practices isolated data storing and recovery and offers object tracking with a unique identity code. The system then sends sound and light warning information, while the photographic camera structure is triggered to capture a picture at the same time. The recognition of the accuracy in the hardware component of the device can be additionally enhanced by the use of this technology to increase the safety of museum equipment.

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.

A Security Situation Sense Model Based on Artificial Immune System in the Internet of Things

2011 ◽  
Vol 403-408 ◽  
pp. 2457-2460 ◽  
Author(s):  
Run Chen ◽  
Cai Ming Liu ◽  
Lu Xin Xiao
Keyword(s):  
Immune System ◽  
Internet Of Things ◽  
Artificial Immune System ◽  
Theory And Practice ◽  
The Internet ◽  
Security Threat ◽  
Artificial Immune ◽  
Model Based ◽  
The Internet Of Things ◽  
Sense Model

Grasping security situation of the Internet of Things (IoT) is useful to work out a scientific and reasonable strategy to defend the IoT security. In the interest of resolving the problems of the security situation sense technology for IoT, a security situation sense model based on artificial immune system for IoT is proposed in this paper. Security threat sense sub-model, formulation mechanism for security threat intensity and security situation assessment sub-model are established. The security threats in the IoT environment are surveyed effectively. Quantitative and accurate assessment for the Real-Time security situation is realized. Theoretical analysis shows that the proposed model is significative of theory and practice.

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