Reliability and Security Issues for IoT-based Smart Business Center: Architecture and Markov Model

Kharchenko, Vyacheslav; Kolisnyk, Maryna; Piskachova, Iryna; Bardis, Nikolaos G.

doi:10.1109/mcsi.2016.064

Cited by 22 publications

(10 citation statements)

References 1 publication

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“…In order to present a true reflection of reliability, it is necessary to have a mechanism which can alert the user to failures in the system before critical actuations are made. Kharchenko et al (2017) proposed the use of a Markov model to predict the reliability requirements of an IoT system. The Markov model considered that the application could be in a range of 15 states, from normal condition to complete failure.…”

Section: System Reliabilitymentioning

confidence: 99%

IoT reliability: a review leading to 5 key research directions

Moore¹,

Nugent²,

Zhang³

et al. 2020

CCF Trans. Pervasive Comp. Interact.

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The Internet of Things (IoT) is rapidly changing the way in which we engage with technology on a daily basis. The IoT paradigm enables low-resource devices to intercommunicate in a fully flexible and pervasive manner, and the data from these devices is used for decision-making in critical applications such as; traffic infrastructure, health-care and home security, to name but a few. Due to the scarce resources available in these IoT devices, being able to quantify the reliability of them is a critical function. This report presents a detailed evolution of the area of reliability measurement, followed by an in-depth review of the state-of-the-art for quantification of reliability in the IoT, revealing the many challenges associated with this task. From this in-depth review, a set of key research directions for IoT reliability is determined. Despite the critical nature of the research area, at this current moment, this study is the first detailed review available in the area of assessing IoT reliability.

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Section: System Reliabilitymentioning

confidence: 99%

IoT reliability: a review leading to 5 key research directions

Moore¹,

Nugent²,

Zhang³

et al. 2020

CCF Trans. Pervasive Comp. Interact.

View full text Add to dashboard Cite

show abstract

“…Another aspect of IoT as contributing to security issues is its complexity, which makes it hard to identify security gaps. These gaps have been realized by researchers, as they have concluded that the connected world has many hidden risks that require intensive research to find suitable solutions [18], [19], [20]. Many devices through various channels can connect to IoT, and as yet no mechanism has been put forward to alert device users of security threats and the way they can prevent attacks from bash-like bugs.…”

Section: Securitymentioning

confidence: 99%

“…Using power saving mode (PSM) and infrequently developed receive (extended discontinuous receive [e-DRX]) Longer standby time can be observed in NB-IoT. In this context, PSM technology has been added lately to ReL12, in which terminal power-saving mode is still being recorded online, but it cannot achieve to saving energy by sending a signal to put the terminal in a deep sleep for a longer time [20], [21].…”

Section: Low Energy Consumptionmentioning

confidence: 99%

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A Review of Properties and Functions of Narrow Band Internet of Things and its Security Requirements

Kakarash

Mardukhi

2020

UHD J SCI TECH

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IOT is a new web sample based on the fact that there are many things and entities other than humans that can connect to the Internet. This fact means that machines or things can automatically interconnected without the need of interacting with humans and thus become the most important entities that create Internet data. In this article, we first examine the challenges of IOT. Then we introduce features of NB- IOT through browsing current international studies on NB- IOT technology in which, we focus on basic theories and key technologies , such as the connection number analysis theory, the theory of delay analysis, the coating increase mechanism , low energy consumption technology, and the connection of the relationship between signaling and data .Then we compare some functions of NB- IOT and other wireless telecommunication technologies in terms of latency, security, availability, data transfer speed, energy consumption, spectral efficiency, and coverage area . Finally, we review and summarize NB- IOT security requirements that should be solved immediately. These topics are provided to overview NB- IOT which can offer a complete familiarity with this area.

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“…Markov model are used by many researcher for network security and assessment based on the activities of the current users [7]- [9]. Hidden markov models can be used to predict the probability of occurrence of malicious edge device in fog computing environment based on the activity of the device [10]. In proposed cybersecurity framework, two stage hidden markov model has been used to find the malicious device and shift it to Virtual Honeypot Cloud (VHD) based on its recent activities.…”

Section: Introductionmentioning

confidence: 99%

A cybersecurity framework to identify malicious edge device in fog computing and cloud-of-things environments

Sohal

Sandhu

Sood

et al. 2018

Computers & Security

206

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Device security is one of the major challenges for successful implementation of Internet of Things and fog computing environment in current IT space. Researchers and Information Technology (IT) organizations have explored many solutions to protect systems from unauthenticated device attacks (known as outside device attacks). Fog computing uses network devices (e.g. router, switch and hub) for latency-aware processing of collected data using IoT. Then, identification of malicious edge device is one of the critical activity in data security of fog computing environment. Preventing attacks from malicious edge devices in fog environment is more difficult because they have certain granted privileges to use and process the data. In this paper, proposed cybersecurity framework uses three technologies which are Markov model, Intrusion Detection System (IDS) and Virtual Honeypot Device (VHD) to identify malicious edge device in fog computing environment. A two-stage hidden Markov model is used to effectively categorize edge devices in four different levels. VHD is designed to store and maintain log repository of all identified malicious devices which assists the system to defend itself from any unknown attacks in the future. Proposed cybersecurity framework is tested with real attacks in virtual environment created using Openstack and Microsoft Azure. Results indicated that proposed cybersecurity framework is successful in identifying the malicious device as well as reducing the false IDS alarm rate.

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Reliability and Security Issues for IoT-based Smart Business Center: Architecture and Markov Model

Cited by 22 publications

References 1 publication

IoT reliability: a review leading to 5 key research directions

IoT reliability: a review leading to 5 key research directions

A Review of Properties and Functions of Narrow Band Internet of Things and its Security Requirements

A cybersecurity framework to identify malicious edge device in fog computing and cloud-of-things environments

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