IoT Object Security towards On-off Attack Using Trustworthiness Management

Nasution, Anggi Pratama; Suryani, Vera; Wardana, Aulia Arif

doi:10.1109/icoict49345.2020.9166169

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Once they have acquired the trust of other entities, they start their fraudulent activities. Malicious entities usually acquire the trust of the TMS by exhibiting proper behavior in transactions of low value [42]. When a larger opportunity comes their way in significant transactions, they act maliciously.…”

Section: ) Inconsistent Behaviormentioning

confidence: 99%

“…Reputation-based trust is an essential technique since the feedbacks different consumers of cloud services are capable of influencing a particular cloud service's reputation dramatically either to the positive or negative. The cloud environment [42][71] [77], as well as the service-oriented environment [78][82], the grid [83], P2P [74][84] [85], has extensively made use of reputation-based trust. Reputation, on the other hand, is capable of having a direct or indirect effect on a particular entity's trustworthiness (for instance, cloud service), as discussed by a majority of researchers like [57][72].…”

Section: ) Reputation-based Trustmentioning

confidence: 99%

See 1 more Smart Citation

Trust Management Systems in Cloud Services Environment: Taxonomy of Reputation Attacks and Defense Mechanisms

Alshammari¹,

Alsubhi

Aljahdali

et al. 2021

IEEE Access

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Section: ) Inconsistent Behaviormentioning

confidence: 99%

Section: ) Reputation-based Trustmentioning

confidence: 99%

Trust Management Systems in Cloud Services Environment: Taxonomy of Reputation Attacks and Defense Mechanisms

Alshammari¹,

Alsubhi

Aljahdali

et al. 2021

IEEE Access

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“…In the health sector, the Internet of Things is designed to help health workers by providing complete information about patient diseases and can respond to changing health conditions in a timely manner [15]. IoT generates data from one or more sensors from the physical world [16].…”

Section: Introductionmentioning

confidence: 99%

Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic

Dini

Rakhmatsyah²,

Wardana³

2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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This study made the digital system to perform screening (early prediction) of Hypoxemia using MAX30102 sensor with the fuzzy value from SpO2 level and heart rate. This research also uses the Internet of Things (IoT) system to gather data from devices to the cloud. Hypoxemia is a lack of oxygen in the blood flowing in the body. Hypoxemia conditions in the body due to lack of oxygen levels in the blood will cause an increased heart rate. Hypoxemia conditions that are not immediately recognized cause damage to cells, tissues, and organs. Hypoxemia is an essential condition because information about oxygen levels in the blood is closely related to health conditions. In this project, researchers built a Hypoxemia early detection system. From the research results, it is found that the accuracy rate of the system to detect hypoxemia is 80%, with 60% sensitivity and 100% specificity. Based on the experiment, this research is able to help screening detection (early prediction) of Hypoxemia.

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