The Internet-of-Things (IoT) Security : A Technological Perspective and Review

Perwej, Yusuf; Parwej, Firoj; Hassan, Mumdouh Mirghani Mohamed; Akhtar, Nikhat

doi:10.32628/cseit195193

Cited by 32 publications

(20 citation statements)

References 48 publications

(53 reference statements)

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“…Based on the likeness with given research articles, appropriate research articles would be chosen from the knowledge tree and used for recommendation purpose. From the classified cluster of research paper that contain research paper from various field like Artificial Intelligence, Network Security, Data Mining, Big Data [4] [33], and Document Recommendation recommender system the domain of paper is identify by using Bayesian classification. After this identification process a set of research papers abstract is used for the ranking process by using Naïve based classification NB10 approach.…”

Section: Recommendation Results and Evaluationmentioning

confidence: 99%

An Efficient Mining for Recommendation System for Academics

Akhtar¹,

Agarwal²

2020

IJRTE

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At present time huge numbers of research articles are available on World Wide Web in any domain. The research scholar explores a research papers to get the appropriate information and it takes time and effort of the researcher. In this scenario, there is the need for a researcher to search a research based on its research article. In the present paper a method of Knowledge ablation from a collection of research articles, is presented to evolve a system research paper recommendation system (RPRS), which would generate the recommendations for research article based on researcher choice. The RPRS accumulate the knowledge ablated from the pertinent research articles in the form of semantic tree. It accumulates all the literal sub parts with their reckoning in nodes. These parts are arranged based on their types in such a way that the leaf nodes stores the words with its prospect, the higher layer gives details about dictum with its reckoning, next to it an abstract. A Bayesian network is applied to construct a verisimilitude model which would quotation the pertinent tidings from the knowledge tree to construct the recommendation and word would be scored through TF-IDF value

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Section: Recommendation Results and Evaluationmentioning

confidence: 99%

An Efficient Mining for Recommendation System for Academics

Akhtar¹,

Agarwal²

2020

IJRTE

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“…It enables the sick person [2] monitoring system in hospitals to track everything from a patient's heart rate to their medication penetration. It enables a mining machine or space robot to shield and efficiently operate where humans can't [5].…”

Section: Industrial Internet Of Things (Iiot)mentioning

confidence: 99%

“…Whether for cycling, tennis, or football, all can make use of sensors and they will use them to their full effect. The development of enabling technologies such as smart phones, embedded systems, cloud networking, network virtualization, Nano-electronics, communications, sensors, and software will be essential to provide to things the [5] capability to be connected all the time everywhere. This will also support important future IoT product innovations affecting many various industrial sectors.…”

Section: Introductionmentioning

confidence: 99%

The Internet of Things (IoT) and its Application Domains

Perwej¹,

Haq²,

Parwej³

et al. 2019

IJCA

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There is no suspicion that IoT has added a new dimension to the living being by the link between smart objects. Thus making the link among any media and anything at any place and anytime was appreciable. Under the umbrella of the Internet of Things (IoT) the number of interconnected devices is expected to grow exponentially toward more than 34 billion devices until 2021. IoT will propose the unique identification of the objects and their virtual representation as the basis for autonomously development of applications and services. These will be characterized by enormous and self-governing data capture, incident transfer, network connectivity and interoperability. This technology has a lot of applications in heterogeneous fields. The IoT technology and applications are likely to be major drivers of investment and innovation in the communications sector, over the forthcoming years, delivering the valued advantage to citizens, client and industrial end-users. These will lead to the introduction of many new and modern services. It will permit data to be transmitted between many various types of devices, enhance the safety of transportation, and decrease the consumption of energy and enhance our health. In this paper, we are briefly discussing about the Internet of Things and applications in several fields. The IoT applications are using at the edge of the network sensors accumulate data on a computing and communicating device and actuators to perform distinguished tasks controlled by these devices.

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“…The rapid development of communication systems and the spread of the use of 5G networks in the foreseeable future will revolutionize the internet of things technologies to cover most of the globe. According to this fact, IoT networks which relies on the use of a large number of devices, sensors, and actuators are expected to increase dramatically, as the international data corporation (IDC) estimated that by 2025, there will be about 84 billion connected devices which will generate and transmit information of about 186 Zettabytes [1]. This will undoubtedly lead to the need for large amounts of energy, which will directly affect the performance of devices and sensors used in networks, as well as, affect the longevity of networks, especially the wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

Prolonging WSNs lifetime in IoT applications based on consistent algorithm

Tawfeeq

Abdullah

2021

TELKOMNIKA

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The rapid expansion in the use of IoT imposes the importance of developing its infrastructure. One of the most important components in IoT infrastructures is the wireless sensor networks. The development of these networks largely depends on how to extend their life. As one of the effective options adopted in this field is the use of cluster heads (CHs). This paper introduces an algorithm that efficiently determine the CHs by iteratively extracting an associative value for each node depending on two factors; node's residual energy, and geometrical distances between nodes and base station. In light of the extracted values, the nodes with the best associative values are elected as CHs based on adjustable threshold determined according to the network usage requirements. The algorithm has proven a significant increase in the lifetime of the network, as well as, it has proven its ability to maintain a high level of energy for long period of time. The proposed algorithm outperformed similar protocols like low energy adaptive clustering hierarchy (LEACH) and region based low energy adaptive clustering hierarchy (R-LEACH) by prolonging the network lifetime and increasing network stability, as well as enhances the throughput significantly.

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The Internet-of-Things (IoT) Security : A Technological Perspective and Review

Cited by 32 publications

References 48 publications

An Efficient Mining for Recommendation System for Academics

An Efficient Mining for Recommendation System for Academics

The Internet of Things (IoT) and its Application Domains

Prolonging WSNs lifetime in IoT applications based on consistent algorithm

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