An energy-efficient fog-to-cloud Internet of Medical Things architecture

Tahir, Sabeen; Bakhsh, Sheikh Tahir; Abulkhair, Maysoon F.; Alassafi, Madini O.

doi:10.1177/1550147719851977

Cited by 24 publications

(16 citation statements)

References 14 publications

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“…[35] Any layer of IOT paradigm such as cloud or edge. [36] Architecture Added as a new layer between physical and network layer [37] The same as fog [37] A digital ledger that can be used to maintain continuously growing data in a secure way [38].…”

Section: Discussionmentioning

confidence: 99%

دراسة عن إنترنت الأشیاء من حبث البروتوکولات ، والبنى التحتیة وآلیات الأمان

البدوي¹,

بلال²

2021

النشرة المعلوماتیة فی الحاسبات والمعلومات

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Nowadays, IOT presents a lot of benefits to people and countries in many fields which in turn makes it one of the most important fields on both research and industry. Recently, NO of IOT connected things has been increased due to rapid network and communication development which in turn leads to increase amount of data exchanged especially critical data. Critical data can be military, industrial, agricultural, health and even personal data which makes IOT networks a main goal for many attacks in order to leak this critical data or even use it in order to cause catastrophic destroy for data owners.A lot of security mechanisms tried to provide a protection for both devices and things but due to devices constrained nature and IOT used protocols, a lot of them failed to provide required protection. In this paper, an introduction to IOT field, its importance and a review for IOT protocols, architectures, a lot of security and privacy challenges and a lot of solutions to that are presented.

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Section: Discussionmentioning

confidence: 99%

دراسة عن إنترنت الأشیاء من حبث البروتوکولات ، والبنى التحتیة وآلیات الأمان

البدوي¹,

بلال²

2021

النشرة المعلوماتیة فی الحاسبات والمعلومات

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“…The main challenge is to decrease the consumption of energy during the working of the node which is that the actual data transmission will be doing. The parameters duty cycle energy consumption for baseline, offline and recovery algorithm is calculated with the optimization algorithm as a genetic algorithm [24][25][26][27].…”

Section: Related Workmentioning

confidence: 99%

A Novel Adaptive Battery-Aware Algorithm for Data Transmission in IoT-Based Healthcare Applications

et al. 2021

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The internet of things (IoT) comprises various sensor nodes for monitoring physiological signals, for instance, electrocardiogram (ECG), electroencephalogram (EEG), blood pressure, and temperature, etc., with various emerging technologies such as Wi-Fi, Bluetooth and cellular networks. The IoT for medical healthcare applications forms the internet of medical things (IoMT), which comprises multiple resource-restricted wearable devices for health monitoring due to heterogeneous technological trends. The main challenge for IoMT is the energy drain and battery charge consumption in the tiny sensor devices. The non-linear behavior of the battery uses less charge; additionally, an idle time is introduced for optimizing the charge and battery lifetime, and hence the efficient recovery mechanism. The contribution of this paper is three-fold. First, a novel adaptive battery-aware algorithm (ABA) is proposed, which utilizes the charges up to its maximum limit and recovers those charges that remain unused. The proposed ABA adopts this recovery effect for enhancing energy efficiency, battery lifetime and throughput. Secondly, we propose a novel framework for IoMT based pervasive healthcare. Thirdly, we test and implement the proposed ABA and framework in a hardware platform for energy efficiency and longer battery lifetime in the IoMT. Furthermore, the transition of states is modeled by the deterministic mealy finite state machine. The Convex optimization tool in MATLAB is adopted and the proposed ABA is compared with other conventional methods such as battery recovery lifetime enhancement (BRLE). Finally, the proposed ABA enhances the energy efficiency, battery lifetime, and reliability for intelligent pervasive healthcare.

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“…A rule specifies the type of a protocol the signature is found, and the source and the destination of the data packet, and it also specifies what type of action should be taken if a malicious packet is predicted. 7 The key benefit of knowledge-based IDSs is their accuracy. It means if an alarm is raised up by the IDS, then it is actually an intrusion and not a false alarm.…”

Section: Background and Related Workmentioning

confidence: 99%

An intrusion detection system for the prevention of an active sinkhole routing attack in Internet of things

Tahir

Bakhsh

Alsemmeari

2019

International Journal of Distributed Sensor Networks

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Internet of things (IoT) is a complex and massive wireless network, where millions of devices are connected together. These devices gather different types of data from different systems that transform human daily lives by modernizing home appliances, business, medicine, traveling, research, and so on. Security is a critical challenge for a stable IoT network, for instance, routing attacks, especially sinkhole attack is a severe attack which has the capability to direct network data toward the intruder, and it can also disrupt and disconnect the devices from their network. The IoT needs multi-facet security solutions where network communication is protected with integrity, confidentiality, and authentication verification services. Therefore, the IoT network should be secured against intrusions and disruptions; the data exchanged throughout the network should be an encrypted form. In this article, an intrusion detection system for the prevention of an active sinkhole routing attack (PASR) in IoT is presented. The proposed PASR solves the problem of the sinkhole attack; for this purpose, the whole network is divided into the clusters of IoT. All the IoT devices are connected to their respective gateways. The gateway devices are equipped with an intrusion detection system. The intrusion detection system activates intrusion analyzer to detect anomalies in the context of ad hoc on-demand distance vector protocol. The base station is the main device that is responsible to receive data from all devices. Therefore, it detects and prevents sinkhole attacks; the base station keeps the record of all active devices and their possible links. The PASR is implemented and compared with the existing intrusion detection techniques ad hoc on-demand distance vector, and dual attack detection for black and gray hole attack. It was observed from the simulation results that the PASR outperforms in terms of data packet delivery, energy consumption, the detection rate of sinkhole attack, and routing overhead.

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An energy-efficient fog-to-cloud Internet of Medical Things architecture

Cited by 24 publications

References 14 publications

دراسة عن إنترنت الأشیاء من حبث البروتوکولات ، والبنى التحتیة وآلیات الأمان

دراسة عن إنترنت الأشیاء من حبث البروتوکولات ، والبنى التحتیة وآلیات الأمان

A Novel Adaptive Battery-Aware Algorithm for Data Transmission in IoT-Based Healthcare Applications

An intrusion detection system for the prevention of an active sinkhole routing attack in Internet of things

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