Hybrid Security Techniques for Internet of Things Healthcare Applications

Yehia, Lobna; Khedr, Ayman E.; Darwish, Ashraf

doi:10.4236/ait.2015.53004

Cited by 44 publications

(9 citation statements)

References 6 publications

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“…In [10] Yehia et.al have surveyed healthcare applications which are based on Wireless Sensor Networks that aims to be deployed over IoT (Internet of Things) Environment. In this work, they have also discussed about the techniques that were used for handling the security issues that are pertained to health care system.…”

Section: Related Workmentioning

confidence: 99%

High Capacitive Secure Image Transmission Over Wireless Channels

2021

IJATCSE

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Expansion of internet connectivity and its usage globally has increased various demands of providing security for the data transmission. Telemedicine is a modern way of medical care that can be extended to any remote place across the globe. This medical care practice is a result of the deployment of communication systems and information technology into healthcare system. With this technology the diagnosed data can be shared with physician and take his consultation remarks and also physicians can access to diagnostic archive and share for medical practice and learning. However, this exchange of information is confined with several risks of data theft when they are shared in open networks and hence they are to be protected with high security algorithms. This paper provides a high capacitive security algorithm for protecting the images with hidden confidential information. The approach provides a two-way security by encrypting the clinical information initially and embedding it imperceptibly in the concerned image so that the user on other can obtain both the visual and text data at same instance

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Section: Related Workmentioning

confidence: 99%

High Capacitive Secure Image Transmission Over Wireless Channels

2021

IJATCSE

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“…Symmetric and asymmetric ciphers combined to form a cryptographic technique called Hybrid Key Cryptography (HKC). Hybrid schemes utilize the benefits of the strengths of both approaches [225]. A great number of researches have shown that the combination of symmetric and asymmetric cryptography utilizes the strengths of both schemes and makes it suitable for IoT networks [42], [226]- [228].…”

Section: Encryption-based Countermeasuresmentioning

confidence: 99%

A Survey of Security Challenges, Attacks Taxonomy and Advanced Countermeasures in the Internet of Things

et al. 2020

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“…Haider DhiaZubaydi [32] a reviewed that most health care applications are developed on the Ethereum framework. The ECDSA Algorithm [39] is used in blockchain to prevent from hacking and he also proposed Byzantine Fault Tolerance algorithm with IoT devices because it does not require high hashing power.…”

Section: Related Workmentioning

confidence: 99%

“…In this paper, authors i.e. Lobna Yehia [39] reviewed about security techniques to be used and applied in IOT devices to provide security for the data as there is a huge amount of information related to health care is stored.…”

Section: Related Workmentioning

confidence: 99%

A survey on health care data using Machine learning Algorithms

Manjulatha¹,

Pabboju²

2020

Preprint

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Big data in the healthcare has been growing rapidly in recent years. A massive amount of patient’s data is generated through various sources in this digitalized environment including wearable devices, mobile devices, electronic health records and medical centres. The medical data, which are exploding exponentially includes a large volume of structured and unstructured data. Patients information is shared and managed by many sources such as insurance, in the form of prescription, healthcare providers including the attackers which causes a severe security threats their confidential data. Cybercriminals use a variety of social engineering attacks like phishing, leakage of data, embedding virus and trojan horse into the attachments, DNS snooping, sniffing, and many more. In this paper a brief overview is done on different data mining and security techniques which are implemented in healthcare data. The study and its presentation in this context would be helpful in not only analysing but also predicting chronic diseases depending upon the available stored data which has been collected from various sources in the area of medical expert system.

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Hybrid Security Techniques for Internet of Things Healthcare Applications

Cited by 44 publications

References 6 publications

High Capacitive Secure Image Transmission Over Wireless Channels

High Capacitive Secure Image Transmission Over Wireless Channels

A Survey of Security Challenges, Attacks Taxonomy and Advanced Countermeasures in the Internet of Things

A survey on health care data using Machine learning Algorithms

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