Securing Medical Sensor Environments: The CodeBlue Framework Case

Kambourakis, Georgios; Klaoudatou, E.; Gritzalis, Stefanos

doi:10.1109/ares.2007.135

Cited by 40 publications

(29 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But, so far their proposed solution has not been implemented yet. Kambourakis et al discuss some attack models and security threats concerning the CodeBlue project: denial-of-service attack, snooping attack, grey-hole attack, sybil attack, and masquerading attacks 15 . To establish an interoperable network security between end-peers from independent network domains, variants of conventional end-to-end security protocols have been recently proposed among which Datagram Transport Layer Security (DTLS) is one of the most relevant protocols 17 .…”

Section: Iot-based Healthcare Securitymentioning

confidence: 99%

SEA: A Secure and Efficient Authentication and Authorization Architecture for IoT-Based Healthcare Using Smart Gateways

Moosavi

Gia

Rahmani

et al. 2015

Procedia Computer Science

229

View full text Add to dashboard Cite

In this paper, a secure and efficient authentication and authorization architecture for IoT-based healthcare is developed. Security and privacy of patients' medical data are crucial for the acceptance and ubiquitous use of IoT in healthcare. Secure authentication and authorization of a remote healthcare professional is the main focus of this work. Due to resource constraints of medical sensors, it is infeasible to utilize conventional cryptography in IoT-based healthcare. In addition, gateways in existing IoTs focus only on trivial tasks without alleviating the authentication and authorization challenges. In the presented architecture, authentication and authorization of a remote end-user is done by distributed smart e-health gateways to unburden the medical sensors from performing these tasks. The proposed architecture relies on the certificate-based DTLS handshake protocol as it is the main IP security solution for IoT. The proposed authentication and authorization architecture is tested by developing a prototype IoT-based healthcare system. The prototype is built of a Pandaboard, a TI SmartRF06 board and WiSMotes. The CC2538 module integrated into the TI board acts as a smart gateway and the WisMotes act as medical sensor nodes. The proposed architecture is more secure than a state-of-the-art centralized delegation-based architecture because it uses a more secure key management scheme between sensor nodes and the smart gateway. Furthermore, the impact of DoS attacks is reduced due to the distributed nature of the architecture. Our performance evaluation results show that compared to the delegation-based architecture, the proposed architecture reduces communication overhead by 26% and communication latency from the smart gateway to the end-user by 16%.

show abstract

Section: Iot-based Healthcare Securitymentioning

confidence: 99%

SEA: A Secure and Efficient Authentication and Authorization Architecture for IoT-Based Healthcare Using Smart Gateways

Moosavi

Gia

Rahmani

et al. 2015

Procedia Computer Science

229

View full text Add to dashboard Cite

show abstract

“…And the real-time and continuous triage information must be distributed to health care providers. Light weight and no-intrusive biomedical sensors are easy to be deployed for continuously monitoring the vital signs of a patient and deliver the data to the first responders [2][6] [1]. For example, a wireless infrastructure for emergency response.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Diabetes Management App on Android

Anande¹,

Al-Shehri²,

Genger³

2016

IJAIS

View full text Add to dashboard Cite

Many individuals diagnosed with diabetes find themselves in the need to rethink their common daily routines, and alter their lifestyle and habits. Computing technology, especially ubiquitous computing applications, can help individuals maintain a high level of awareness of their health, reflect on and learn from their past experiences, and generally improve their diabetes management practices. However, to be successful, these applications require continuous engagement from their users and must be able to adapt to the changing environments of use, their users' changing health and their growing understanding of their disease. In this work we designed the graphic user interface (GUI) of an android smartphone with features such as patient's glucose level, time information is received, patient's location with the aid of global positioning system (GPS), like colour code, voice recorder and facial expression for the different glucose levels. This system also utilizes Google sheet to manage Personal Health Records (PHRs), which not only bridges the gaps between patients and different health care providers but enabling accesses to patients' PHRs anywhere and anytime by taking advantage of the universal accessibility of Google sheet. The system further integrates with GPS, Google Search and Google Map functionalities to facilitate the user to find all hospitals near to his/her current location.

show abstract

“…Kambourakis et al, in [2] discussed the routing and security issues in the CodeBlue framework. In the CodeBlue the position of a patient can be traced using a decentralized RF-based tracking system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…After the progress of telemedicine in the typical E-Health to M-Health, researchers are progressing towards UHealth. Despite the current efforts in U-Healthcare, due to its shortcomings, it has not been adopted completely [2].…”

Section: Introductionmentioning

confidence: 99%