A State-of-the-Art Review on the Security of Mainstream IoT Wireless PAN Protocol Stacks

Kambourakis, Georgios; Kolias, Constantinos; Geneiatakis, Dimitris; Καρόπουλος, Γεώργιος; Makrakis, Georgios Michail; Kounelis, Ioannis

doi:10.3390/sym12040579

Cited by 30 publications

(11 citation statements)

References 74 publications

(91 reference statements)

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“…The intermediary node is constantly in operation and continuously powered, while the end IoT sensor can go into low power mode to save energy. On the other hand, the Thread protocol does not need an intermediary node to connect to the Internet, but it provides itself an connectivity to any IP-based network, involving Wi-Fi, Ethernet, and the Internet in general [ 22 ]. Attacks on the security of the protocols used for IoT sensors are a real problem.…”

Section: Methodsmentioning

confidence: 99%

Resistance of IoT Sensors against DDoS Attack in Smart Home Environment

Huraj

Šimon

Horák

2020

Sensors

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Smart devices along with sensors are gaining in popularity with the promise of making life easier for the owner. As the number of sensors in an Internet of Things (IoT) system grows, a question arises as to whether the transmission between the sensors and the IoT devices is reliable and whether the user receives alerts correctly and in a timely manner. Increased deployment of IoT devices with sensors increases possible safety risks. It is IoT devices that are often misused to create Distributed Denial of Service (DDoS) attacks, which is due to the weak security of IoT devices against misuse. The article looks at the issue from the opposite point of view, when the target of a DDoS attack are IoT devices in a smart home environment. The article examines how IoT devices and the entire smart home will behave if they become victims of a DDoS attack aimed at the smart home from the outside. The question of security was asked in terms of whether a legitimate user can continue to control and receive information from IoT sensors, which is available during normal operation of the smart home. The case study was done both from the point of view of the attack on the central units managing the IoT sensors directly, as well as on the smart-home personal assistant systems, with which the user can control the IoT sensors. The article presents experimental results for individual attacks performed in the case study and demonstrates the resistance of real IoT sensors against DDoS attack. The main novelty of the article is that the implementation of a personal assistant into the smart home environment increases the resistance of the user’s communication with the sensors. This study is a pilot testing the selected sensor sample to show behavior of smart home under DDoS attack.

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Section: Methodsmentioning

confidence: 99%

Resistance of IoT Sensors against DDoS Attack in Smart Home Environment

Huraj

Šimon

Horák

2020

Sensors

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“…Most existing researches generally pay attention to the energy and power efficiency, and the SHG traffic control issue has not yet been actively considered. The paper [12] conducts a comprehensive and comparative review of the security features offered by the most commonly used or promising wireless personal area network technologies today, namely Bluetooth low energy, ZigBee, Z-Wave, Thread, and EnOcean. This study presents the state-of-the-art regarding the security aspects of each examined protocol, and offers a succinct, but allencompassing, review of the works in the literature investigating certain security weaknesses per protocol.…”

Section: Related Workmentioning

confidence: 99%

“…This study presents the state-of-the-art regarding the security aspects of each examined protocol, and offers a succinct, but allencompassing, review of the works in the literature investigating certain security weaknesses per protocol. The current work can be used as a reference to anyone interested in obtaining a holistic view of the security requirements and potential pitfalls of such IoT protocols, and it is also expected to foster research efforts to the development of security-bydesign solutions in the particular domain [12]. The GHOST -Safe-Guarding Home IoT Environments with Personalized Real-time Risk Control -project aims to develop a reference architecture for securing smart-homes IoT ecosystem [13].…”

Section: Related Workmentioning

confidence: 99%

Home Network Traffic Control Scheme Based on Two-Level Bargaining Game Model

Kim

2021

IEEE Access

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This article presents a new smart home network (SHN) traffic control scheme to adaptively handle different quality of service (QoS) traffic services. According to their special characteristics, we categorize the SHN traffic services into three classes -class I, II and III data services -to share the limited SHN bandwidth resource. To effectively share the limited resource, we adopt the bridging and iterated egalitarian bargaining solutions, and formulate a two-level cooperative bargaining game. At the over bargaining process, the idea of bridging bargaining solution is used to compromise the conflicting views of real-time and non real-time data services. At the under bargaining process, class I and class II data services share the assigned bandwidth based on the concept of iterated egalitarian bargaining solution. These both processes are implemented to take full advantages of collaborative SHN traffic services. This interactive coordinated paradigm explores the mutual benefits under dynamically changing SHN environments. The most important novelties of our two-level bargaining approach is to compromise diverse QoS requirements while leveraging a reciprocal consensus among different traffic services. In a coordinated manner, we can get a globally desirable solution to challenge the relatively fair-efficient gains. Finally, simulation testbed is constructed and the numerical analysis is conducted to demonstrate the performance improvement of our proposed method. INDEX TERMSSmart home network, Smart home gateway, Cooperative bargaining game theory, Bridging bargaining, Iterated egalitarian bargaining.

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“…As an emerging and low-cost technology, IoT is prone to cyber-security risks and thus the demand for safeguarding such ecosystem is constantly growing. Furthermore, the heterogeneity and diversity of the IoT devices, as well as the new lightweight communication protocols [ 4 ] suitable for the restricted resource and low-energy IoT installations, create new challenges for the protection of such systems.…”

Section: Introductionmentioning

confidence: 99%

Tracing Your Smart-Home Devices Conversations: A Real World IoT Traffic Data-Set

Αναγνωστόπουλος

Σπαθούλας

Viano³

et al. 2020

Sensors

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Smart-home installations exponential growth has raised major security concerns. To this direction, the GHOST project, a European Union Horizon 2020 Research and Innovation funded project, aims to develop a reference architecture for securing smart-homes IoT ecosystem. It is required to have automated and user friendly security mechanisms embedded into smart-home environments, to protect the users’ digital well being. GHOST project aims to fulfill this requirement and one of its main functionalities is the traffic monitoring for all IoT related network protocols. In this paper, the traffic capturing and monitoring mechanism of the GHOST system, called NDFA, is presented, as the first mechanism that is able to monitor smart-home activity in a holistic way. With the help of the NDFA, we compile the GHOST-IoT-data-set, an IoT network traffic data-set, captured in a real world smart-home installation. This data-set contains traffic from multiple network interfaces with both normal real life activity and simulated abnormal functioning of the devices. The GHOST-IoT-data-set is offered to the research community as a proof of concept to demonstrate the ability of the NDFA module to process the raw network traffic from a real world smart-home installation with multiple network interfaces and IoT devices.

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A State-of-the-Art Review on the Security of Mainstream IoT Wireless PAN Protocol Stacks

Cited by 30 publications

References 74 publications

Resistance of IoT Sensors against DDoS Attack in Smart Home Environment

Resistance of IoT Sensors against DDoS Attack in Smart Home Environment

Home Network Traffic Control Scheme Based on Two-Level Bargaining Game Model

Tracing Your Smart-Home Devices Conversations: A Real World IoT Traffic Data-Set

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