scholarly journals E-HIP: An Energy-Efficient OpenHIP-Based Security in Internet of Things Networks

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4921 ◽  
Author(s):  
Peter Kaňuch ◽  
Dominik Macko
Keyword(s):  
Internet Of Things ◽  
Data Transfer ◽  
Security Protocols ◽  
Security Threats ◽  
Optimized Protocol ◽  
Host Identity ◽  
Iot Devices ◽  
High Level ◽  
Application Specific ◽  
The Internet Of Things

The rapidly growing segment of the Internet of Things (IoT) makes the security threats more prominent than ever. The research around communication security and cybersecurity in such networks is still a challenge, mainly due to the typically limited energy and computation resources of IoT devices. The strong security mechanisms require significant power and thus the energy wastage must be minimized. Optimized application-specific security protocols are commonly used to make the data transfer more efficient, while still offering a high level of security. The supported security features, such as confidentiality, integrity or authenticity, should not be affected by the optimization. Our work is focused on optimizing one of the existing security protocols for the use in the IoT area, namely the Host Identity Protocol (HIP). Based on the analysis of related works, we have identified multiple possibilities for optimization and combined some of them into the proposed E-HIP optimized protocol. For verification purpose, it has been implemented as a modification of the open-source OpenHIP library and applied on a communication between real hardware devices. The secured communication worked correctly. The resulting effect of the proposed optimization has been evaluated experimentally and it represents an increase in energy efficiency by about 20%. Compared to other HIP optimizations, the achieved results are similar; however, the proposed optimizations are unique and can be further combined with some of the existing ones to achieve even higher efficiency.

scholarly journals Cybersecurity and the Internet of Things

2016 ◽  
Vol 54 (2(108)) ◽  
pp. 22-36
Author(s):  
Christopher Biedermann
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Security Threats ◽  
Cyber Attack ◽  
Security Issues ◽  
Risk Approach ◽  
Key Issues ◽  
Iot Devices ◽  
High Level ◽  
The Internet Of Things

PURPOSE/THESIS: The purpose of this paper is to use a recent cyber-attack to highlight the current state of readiness of Internet of Things (IoT) technologies with regard to security vulnerabilities as well as fundamental – in the author’s opinion – changes that will need to take place within these industries and technologies to mitigate the overall cybersecurity risk. APPROACH/METHODS: The analysis of the findings from numerous existing published security studies. RESULTS AND CONCLUSIONS: The following conclusions were reached: (1) in the world becoming more and more interconnected through the web enabled devices (IoT devices), new forms of security threats have been developed; (2) at present IoT devices introduce a high level of vulnerability; (3) many of these risks may be mitigated with already existing technologies; (4) however, due to the fragmented and heterogeneous nature of the IoT devices, the implementation of even basic levels of security is more challenging than in the case of traditional Internet connected devices (e.g. personal computers); (5) the industry needs to face and address three key issues that will in turn help to mitigate the unique security threats posed by IoT devices, namely: the drive towards open standards, the industry cooperation and consolidation, and the improvement of consumer awareness. ORIGINALITY/VALUE: The value of the research is to highlight the security issues related to the Internet of Things and propose solutions that must be implemented to increase the level of security awareness within the IoT environment.

scholarly journals Scalable and Secure Internet of Things Connectivity

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 752 ◽  
Author(s):  
Ye-Jin Choi ◽  
Hee-Jung Kang ◽  
Il-Gu Lee
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Human Life ◽  
Security Threats ◽  
Multiple Objects ◽  
Security Risks ◽  
Blockchain Technology ◽  
Iot Devices ◽  
The Internet Of Things ◽  
User Intervention

The Internet of things (IoT) technology, which is currently considered the new growth engine of the fourth industrial revolution, affects our daily life and has been applied to various industrial fields. Studies on overcoming the limitations of scalability and stability in a centralized IoT operating environment by employing distributed blockchain technology have been actively conducted. However, the nature of IoT that ensures connectivity with multiple objects at any time and any place increases security threats. Further, it extends the influence of the cyber world into the physical domain, resulting in serious damage to human life and property. Therefore, we aim to study a method to increase the security of IoT devices and effectively extend them simultaneously. To this end, we analyze the authentication methods and limitations of traditional IoT devices and examine cases for improving IoT environments by using blockchain technology. Accordingly, we propose a framework that allows IoT devices to be securely connected and extended to other devices by automatically evaluating security using blockchain technology and the whitelist. The method proposed in this paper restricts the extension of devices vulnerable to security risks by imposing penalties and allows only devices with high security to be securely and quickly authenticated and extended without user intervention. In this study, we applied the proposed method to IoT network simulation environments and observed that the number of devices vulnerable to security was reduced by 48.5% compared with traditional IoT environments.

scholarly journals PROBLEMS AND SECURITY THREATS TO IOT DEVICES

2021 ◽  
Vol 3 (11) ◽  
pp. 31-42
Author(s):  
Ivan Opirskyy ◽  
Roman Holovchak ◽  
Iryna Moisiichuk ◽  
Tetyana Balianda ◽  
Sofiia Haraniuk
Keyword(s):  
Internet Of Things ◽  
Information Transfer ◽  
The Internet ◽  
Security Threats ◽  
Security Issues ◽  
System Protection ◽  
Extended Type ◽  
Iot Devices ◽  
Set Up ◽  
The Internet Of Things

The Internet of Things or IoT is billions of physical devices connected to the Internet. Its main premise is simply an extended type of connection, which can then be used as a basis for all kinds of functions. IoT describes a network of physical objects - "things" that are built into sensors, software and other technologies to connect and communicate with other devices and systems over the Internet. Problems of system protection, including the use of IoT devices are studied by many scientists and specialists in this field, but in today's world, not every manufacturer is ready to declare vulnerabilities and general insecurity of their products (devices). Throughout the IoT environment, from manufacturers to users, there are still many IoT security issues, such as manufacturing standards, update management, physical hardening, user knowledge and awareness. This article examines the vulnerabilities of the Internet of Things. The analysis of information transfer technologies of IoT devices (in particular ZigBee, Signfox and Bluetooth) is carried out. The most common threats that a user may encounter have been identified and analyzed. It is also established that usually not only the manufacturer poses a threat to the security of IoT devices. There are also a number of tips for users who want to reduce the risk of data leakage associated with vulnerabilities in the Internet of Things. Unfortunately, it is not uncommon for such devices to be incorrectly set up, used and stored. Extremely common is the user's refusal to update the software, which in turn leaves open those vulnerabilities that the manufacturer is trying to fix. The main purpose of the article is to determine the causes of security threats to the Internet of Things, by analyzing data transmission technologies, analysis of the threats themselves, identifying the most critical of them and ways to reduce the risk of data theft

scholarly journals The embedded framework for securing the Internet of Things

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Feroz Khan A.B ◽  
◽  
Anandharaj G ◽  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Security Protocols ◽  
Smart Devices ◽  
The Internet ◽  
Home Automation ◽  
Iot Applications ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Entire Network

The smart devices connected on the internet turn to be the internet of things, which connect other objects or devices through unique identifiers with the capability of transferring and receiving the information over the internet. There are numerous applications in different areas such as healthcare, home automation, transportation, military, agriculture, and still so many sectors that incorporate cutting-edge technologies of communication, networking, cloud computing, sensing, and actuation. With this huge increase in the number of connected devices, a strong security mechanism is required to protect the IoT devices. Hence, it is required to focus on the challenges and issues of IoT enabled applications to safeguard the entire network from the outside invasion. This paper discusses some of the challenges in building IoT applications, a detailed study of the existing security protocols, and its issues, and the potential of the IoT.

scholarly journals Assesing the Services, security Threaths, Challenges and Solutions in the Internet of Things

2019 ◽  
Vol 20 (3) ◽  
pp. 457-484 ◽  
Author(s):  
Syed Rameem Zahra ◽  
Mohammad Ahsan Chishti
Keyword(s):  
Internet Of Things ◽  
Security Requirements ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Personal Health ◽  
Security Threats ◽  
Recent Past ◽  
The World ◽  
Iot Devices ◽  
The Internet Of Things

The purpose of this paper is to chalk out the criticality of the most important pillar of Internet of Things (IoT),i.e., Security and Privacy (S&P). IoT has seen its journey from implausible and impossible to sustainable and tenable. Its rateof expansion into various grounds from agriculture to sports; personal health to intelligent trac detection; waste managementto smart homes is astonishing, dramatic and unforeseen. With such vast adaptability and functionality, its security remains thebiggest concern because in contrast to the traditional networks, IoT faces huge vulnerabilities some of which are inherent and othersexplicit. The existing security solutions cannot be implemented in IoT because of its unique characteristics. Therefore, there is adire need to develop novel security procedures betting IoT. This paper spots the features that are peculiar to IoT and concurrentlyanalyzes the security threats and challenges they pose. This work also provides a glimpse of the major IoT implementations withtheir particular security requirements and challenges. Moreover, this paper critically evaluates the proposed countermeasures tosecurity attacks on dierent features and why they cannot be used in IoT environments. Also, it is found that most of the securitysolutions used in IoT devices are inspired from Wireless Sensor Networks (WSN) but the striking dierences among the two makethem inadequate in IoT. The security requirements and challenges peculiar to various IoT services are also identied. To assist theresearchers in remaining up-to-date, we for the rst time have thoroughly expressed some of the most famous and practical attacksfaced across the world in the recent past, how much damage they caused, how much nancial losses were faced, etc.

Security for IoT

2021 ◽  
pp. 117-143
Author(s):  
Anjum Nazir Qureshi Sheikh ◽  
Asha Ambhaikar ◽  
Sunil Kumar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
The Internet ◽  
Security Threats ◽  
Security Issues ◽  
The Earth ◽  
The World ◽  
Wireless Medium ◽  
Iot Devices ◽  
The Internet Of Things

The internet of things is a versatile technology that helps to connect devices with other devices or humans in any part of the world at any time. Some of the researchers claim that the number of IoT devices around the world will surpass the total population on the earth after a few years. The technology has made life easier, but these comforts are backed up with a lot of security threats. Wireless medium for communication, large amount of data, and device constraints of the IoT devices are some of the factors that increase their vulnerability to security threats. This chapter provides information about the attacks at different layers of IoT architecture. It also mentions the benefits of technologies like blockchain and machine learning that can help to solve the security issues of IoT.

scholarly journals Efficient and Secure Data Transfer in IoT

2019 ◽  
Vol 8 (4) ◽  
pp. 3712-3715
Keyword(s):  
Health Care ◽  
Internet Of Things ◽  
Smart City ◽  
Data Transfer ◽  
Limited Resources ◽  
The Internet ◽  
Safety Aspects ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Security Of Iot

Nowadays, the Internet of Things (IoT) has been used widely in our daily day to day life, starting from health care devices, hospital management appliances to a smart city. Most of the IoT devices have limited resources and limited storing capability. All the sensed information must have to be transmitted and to store in the cloud. To make a decision and for making analysis all the data stored in the cloud has to be retrieved. Making certain the credibility and security of the sensed information are much necessary and very important for the use of IoT devices. We tend to examine the proposed technique to be much secure than the existing one. In IoT, if the security is not ensured, then it may result in a variety of unsought issues. This survey resembles the overall safety aspects of IoT and debates the overall issues in the security of IoT.

Security Privacy in Internet of Things(IOT)

2018 ◽  
Vol 7 (12) ◽  
pp. 57
Author(s):  
Samruddhi S. Burhade ◽  
Sonal N. Deshmukh
Keyword(s):  
Internet Of Things ◽  
Public Safety ◽  
Smart Cities ◽  
Security And Privacy ◽  
The Internet ◽  
Security Threats ◽  
Embedded Computing ◽  
Iot Devices ◽  
The Internet Of Things

The Internet Of Things(IOT) is interconnection between identifiable embedded computing devices. Internet of Things is highly on the rise from smart cities, environment, health, energy, vehicle, transport, public safety to our daily essentials. Internet of Things has completely revitalized these areas. IOT expect the advanced connectivity with devices services. This paper highlighted the security and privacy aspect of IOT and various security threats which are given in each concept related to IOT. Various techniques are used for security and privacy of IOT devices and easy to adapt by users.

scholarly journals Edge Machine Learning for AI-Enabled IoT Devices: A Review

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2533 ◽  
Author(s):  
Massimo Merenda ◽  
Carlo Porcaro ◽  
Demetrio Iero
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Learning Models ◽  
Iot Devices ◽  
High Level ◽  
And Behavior ◽  
The Internet Of Things ◽  
Machine Learning Models

In a few years, the world will be populated by billions of connected devices that will be placed in our homes, cities, vehicles, and industries. Devices with limited resources will interact with the surrounding environment and users. Many of these devices will be based on machine learning models to decode meaning and behavior behind sensors’ data, to implement accurate predictions and make decisions. The bottleneck will be the high level of connected things that could congest the network. Hence, the need to incorporate intelligence on end devices using machine learning algorithms. Deploying machine learning on such edge devices improves the network congestion by allowing computations to be performed close to the data sources. The aim of this work is to provide a review of the main techniques that guarantee the execution of machine learning models on hardware with low performances in the Internet of Things paradigm, paving the way to the Internet of Conscious Things. In this work, a detailed review on models, architecture, and requirements on solutions that implement edge machine learning on Internet of Things devices is presented, with the main goal to define the state of the art and envisioning development requirements. Furthermore, an example of edge machine learning implementation on a microcontroller will be provided, commonly regarded as the machine learning “Hello World”.

scholarly journals Definition of Internet of Things (IoT) Cyber Risk – Discussion on a Transformation Roadmap for Standardisation of Regulations, Risk Maturity, Strategy Design and Impact Assessment

2019 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Jason R.C. Nurse ◽  
Pete Burnap ◽  
Eirini Anthi ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Impact Assessment ◽  
Cyber Security ◽  
The Internet ◽  
Self Assessment ◽  
Target State ◽  
Iot Devices ◽  
High Level ◽  
Cyber Risk ◽  
The Internet Of Things

The Internet-of-Things (IoT) enables enterprises to obtain profits from data but triggers data protection questions and new types of cyber risk. Cyber risk regulations for the IoT however do not exist. The IoT risk is not included in the cyber security assessment standards, hence, often not visible to cyber security experts. This is concerning, because companies integrating IoT devices and services need to perform a self-assessment of its IoT cyber security posture. The outcome of such self-assessment needs to define a current and target state, prior to creating a transformation roadmap outlining tasks to achieve the stated target state. In this article, a comparative empirical analysis is performed of multiple cyber risk assessment approaches, to define a high-level potential target state for company integrating IoT devices and/or services. Defining a high-level potential target state represent is followed by a high-level transformation roadmap, describing how company can achieve their target state, based on their current state. The transformation roadmap is used to adapt IoT risk impact assessment with a Goal-Oriented Approach and the Internet of Things Micro Mart model.

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