Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures

Bütün, İsmail; Österberg, Patrik; Song, Houbing

doi:10.1109/comst.2019.2953364

Cited by 517 publications

(277 citation statements)

References 149 publications

Supporting

Mentioning

271

Contrasting

Unclassified

Order By: Relevance

“…Usage of PUFs promises an increase in the security level of the IoT, by enabling low-level security implementations on the things and also by devising cryptography algorithms to perform special tasks (e.g., verification, etc.) [ 67 ]. In a similar fashion, fog computing can leverage PUFs that are embedded to the fog gateways and/or IoT end-devices, in order to ensure IP protection during patch updates.…”

Section: Hardware Assisted Security Of Fog Computing Devicesmentioning

confidence: 99%

Hardware Security of Fog End-Devices for the Internet of Things

Bütün

Sari

Österberg

2020

Sensors

Self Cite

View full text Add to dashboard Cite

The proliferation of the Internet of Things (IoT) caused new application needs to emerge as rapid response ability is missing in the current IoT end-devices. Therefore, Fog Computing has been proposed to be an edge component for the IoT networks as a remedy to this problem. In recent times, cyber-attacks are on the rise, especially towards infrastructure-less networks, such as IoT. Many botnet attack variants (Mirai, Torii, etc.) have shown that the tiny microdevices at the lower spectrum of the network are becoming a valued participant of a botnet, for further executing more sophisticated attacks against infrastructural networks. As such, the fog devices also need to be secured against cyber-attacks, not only software-wise, but also from hardware alterations and manipulations. Hence, this article first highlights the importance and benefits of fog computing for IoT networks, then investigates the means of providing hardware security to these devices with an enriched literature review, including but not limited to Hardware Security Module, Physically Unclonable Function, System on a Chip, and Tamper Resistant Memory.

show abstract

Section: Hardware Assisted Security Of Fog Computing Devicesmentioning

confidence: 99%

Hardware Security of Fog End-Devices for the Internet of Things

Bütün

Sari

Österberg

2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…IoMT devices may pose a threat to users due to susceptibility to hacking. Although there is currently some attention on the issue of security for the IoMT systems [138][139][140], there is no common standard, protocol, or security framework for IoMT devices. Therefore, addressing security issues for IoMT is now an urgent concern in our research work; Management: Selecting the right type of IoMT device to support a specific anticipatory task is not an easy choice.…”

Section: Research Challengesmentioning

confidence: 99%

A Holistic Overview of Anticipatory Learning for the Internet of Moving Things: Research Challenges and Opportunities

Cao

2020

IJGI

View full text Add to dashboard Cite

The proliferation of Internet of Things (IoT) systems has received much attention from the research community, and it has brought many innovations to smart cities, particularly through the Internet of Moving Things (IoMT). The dynamic geographic distribution of IoMT devices enables the devices to sense themselves and their surroundings on multiple spatio-temporal scales, interact with each other across a vast geographical area, and perform automated analytical tasks everywhere and anytime. Currently, most of the geospatial applications of IoMT systems are developed for abnormal detection and control monitoring. However, it is expected that, in the near future, optimization and prediction tasks will have a larger impact on the way citizens interact with smart cities. This paper examines the state of the art of IoMT systems and discusses their crucial role in supporting anticipatory learning. The maximum potential of IoMT systems in future smart cities can be fully exploited in terms of proactive decision making and decision delivery via an anticipatory action/feedback loop. We also examine the challenges and opportunities of anticipatory learning for IoMT systems in contrast to GIS. The holistic overview provided in this paper highlights the guidelines and directions for future research on this emerging topic.

show abstract

“…The IoT enables the connection of a very large-scale quantity of devices, users and their associated services and applications, enabling them to interact with one another. While this improves the users’ experience, it also poses multiple security issues [ 26 , 27 , 28 ]. Numerous proposals to address the security issues of the IoT have been advanced and address areas such as access control, privacy, trust, identity, etc.…”

Section: Introductionmentioning

confidence: 99%

Security Requirements for the Internet of Things: A Systematic Approach

Pal

Hitchens

Rabehaja

et al. 2020

Sensors

View full text Add to dashboard Cite

There has been a tremendous growth in the number of smart devices and their applications (e.g., smart sensors, wearable devices, smart phones, smart cars, etc.) in use in our everyday lives. This is accompanied by a new form of interconnection between the physical and digital worlds, commonly known as the Internet of Things (IoT). This is a paradigm shift, where anything and everything can be interconnected via a communication medium. In such systems, security is a prime concern and protecting the resources (e.g., applications and services) from unauthorized access needs appropriately designed security and privacy solutions. Building secure systems for the IoT can only be achieved through a thorough understanding of the particular needs of such systems. The state of the art is lacking a systematic analysis of the security requirements for the IoT. Motivated by this, in this paper, we present a systematic approach to understand the security requirements for the IoT, which will help designing secure IoT systems for the future. In developing these requirements, we provide different scenarios and outline potential threats and attacks within the IoT. Based on the characteristics of the IoT, we group the possible threats and attacks into five areas, namely communications, device/services, users, mobility and integration of resources. We then examine the existing security requirements for IoT presented in the literature and detail our approach for security requirements for the IoT. We argue that by adhering to the proposed requirements, an IoT system can be designed securely by achieving much of the promised benefits of scalability, usability, connectivity, and flexibility in a practical and comprehensive manner.

show abstract

Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures

Cited by 517 publications

References 149 publications

Hardware Security of Fog End-Devices for the Internet of Things

Hardware Security of Fog End-Devices for the Internet of Things

A Holistic Overview of Anticipatory Learning for the Internet of Moving Things: Research Challenges and Opportunities

Security Requirements for the Internet of Things: A Systematic Approach

Contact Info

Product

Resources

About