IoT-based Secure and Energy Efficient scheme for E-health applications

Humayun, Mamoona; Jhanjhi, N. Z.; Alamri, Malak Z

doi:10.17485/ijst/v13i28.861

Cited by 24 publications

(6 citation statements)

References 28 publications

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“…We're likely to see these actions globally depending on the duration of the lockdown. But it is also likely that certain student occupations will profit from interruptions [23]. In higher education, several universities and colleges are replacing standardized tests with electronic evaluation instruments; this is a different environment for both teachers and students, so evaluations are expected to contain a larger measuring error than average.…”

Section: Discussionmentioning

confidence: 99%

COVID-19 Impact on Educational System Globally

Khalil

Humayun

Jhanjhi

2021

Studies in Systems, Decision and Control

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Education plays a very important role in the development of the society. A good educational system produces good citizens. The nations which compromise their education live far behind in the race of development. The advancement of ICT has brought drastic positive changes in the educational system and made the knowledge available and accessible from everywhere. The E-Learning system is also prevailing in most modern societies, and a lot of people who are not able to attend regular classes are getting benefit from it. However, it cannot be the supplement of traditional face-to-face learning mechanisms. The blend of the traditional educational system with E-Learning is very fruitful, and a lot of developed societies are getting its benefit. Recently, the rapid growth of COVID-19 all over the world has put the traditional education system to halt. The policy of lockdown and isolation has put billions of children away from school. Most governments have officially declared school closure to prevent the widespread of COVID-19. In such a situation, online learning is the only solution to run the vehicle of the educational system. However, the current E-Learning infrastructure was not expecting this rapid paradigm shift from the traditional educational system toward E-Learning. Therefore, a lot of issues are reported daily such as Internet connectivity, security breaches, conducting the assessment, etc. In this paper, we will provide the impact of COVID-19 on the educational system worldwide and the strategies that might be useful to fill the gap created by school closure during COVID-19.

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Section: Discussionmentioning

confidence: 99%

COVID-19 Impact on Educational System Globally

Khalil

Humayun

Jhanjhi

2021

Studies in Systems, Decision and Control

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“…Before investigating the network traffic dataset, understanding the type of network traffic data is crucial. Humayun et al [7,8] have clearly summarized and compared these data categories. And since network traffic plays an important role in wireless intrusion detection design, the remaining sections focus on the types and techniques to analyze wireless traffic.…”

Section: Network Traffic Analysismentioning

confidence: 99%

IoT Wireless Intrusion Detection and Network Traffic Analysis

Ponnusamy¹,

Aun²,

Jhanjhi³

et al. 2022

Computer Systems Science and Engineering

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Enhancement in wireless networks had given users the ability to use the Internet without a physical connection to the router. Almost every Internet of Things (IoT) devices such as smartphones, drones, and cameras use wireless technology (Infrared, Bluetooth, IrDA, IEEE 802.11, etc.) to establish multiple interdevice connections simultaneously. With the flexibility of the wireless network, one can set up numerous ad-hoc networks on-demand, connecting hundreds to thousands of users, increasing productivity and profitability significantly. However, the number of network attacks in wireless networks that exploit such flexibilities in setting and tearing down networks has become very alarming. Perpetrators can launch attacks since there is no first line of defense in an ad hoc network setup besides the standard IEEE802.11 WPA2 authentication. One feasible countermeasure is to deploy intrusion detection systems at the edge of these ad hoc networks (Network-based IDS) or at the node level (Host-based IDS). The challenge here is that there is no readily available benchmark data available for IoT network traffic. Creating this benchmark data is very tedious as IoT can work on multiple platforms and networks, and crafting and labelling such dataset is very labor-intensive. This research aims to study the characteristics of existing datasets available such as KDD-Cup and NSL-KDD, and their suitability for wireless IDS implementation. We hypothesize that network features are parametrically different depending on the types of network and assigning weight dynamically to these features can potentially improve the subsequent threat classifications. This paper analyses packet and flow features for the data packet captured on a wireless network rather than a wired network. Combining domain heuristcs and early classification results, the paper had identified 19 header fields exclusive to wireless network that contain high information gain to be used as ML features in Wireless IDS.

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“…Considering sensing infrastructure different standards and protocols have been adopted for HEMS (Avancini et al, 2019;Sharma and Saini, 2017;Hu and Li, 2013;Humayun et al, 2020c). Major of which are Power Line Communication (PLC) (Saha et al, 2016), ZigBee (IEEE 802.15.4) (Avancini et al, 2019), Bluetooth (Hu and Li, 2013), WiFi (IEEE 802.11) (Humayun et al 2020c), along with humanmachine interface Systems (Sharma and Saini, 2017). Authors in Saha et al (2016) suggested using PLC in conjunction with smart meters as it is more appealing to preserve electricity on the demand side.…”

Section: Communication Infrastructurementioning

confidence: 99%

“…• PLC (Saha et al, 2016) • ZigBee (Avancini et al, 2019) • Human-Machine Interface Systems (Sharma and Saini, 2017) • Bluetooth (Hu and Li, 2013) • WiFi (Humayun et al 2020c) • BACnet, Z-wave, etc.…”

Section: Communication Infrastructurementioning

confidence: 99%

Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review

al.¹

2021

Int. j. adv. appl. sci.

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Fusion of Information and Communication Technologies (ICT) in traditional grid infrastructure makes it possible to share certain messages and information within the system that leads to optimized use of energy. Furthermore, using Computational Intelligence (CI) in the said domain opens new horizons to preserve electricity as well as the price of consumed electricity effectively. Hence, Energy Management Systems (EMSs) play a vital role in energy economics, consumption efficiency, resourcefulness, grid stability, reliability, and scalability of power systems. The residential sector has its high impact on global energy consumption. Curtailing and shifting load of the residential sector can result in solving major global problems and challenges. Moreover, the residential sector is more flexible in reshaping power consumption patterns. Using Demand Side Management (DSM), end users can manipulate their power consumption patterns such that electricity bills, as well as Peak to Average Ratio (PAR), are reduced. Therefore, it can be stated that Home Energy Management Systems (HEMSs) is an important part of ground-breaking smart grid technology. This article gives an extensive review of DSM, HEMS methodologies, techniques, and formulation of optimization problems. Concluding the existing work in energy management solutions, challenges and issues, and future research directions are also presented.

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IoT-based Secure and Energy Efficient scheme for E-health applications

Cited by 24 publications

References 28 publications

COVID-19 Impact on Educational System Globally

COVID-19 Impact on Educational System Globally

IoT Wireless Intrusion Detection and Network Traffic Analysis

Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review

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