In patients with AE liver lesions, the absence of microcysts on MRI is strongly correlated to a metabolically inactive disease.

There has been a host of research works on wireless sensor networks (WSN) for medical applications. However, the major shortcoming of these efforts is a lack of consideration of data management. Indeed, the huge amount of high sensitive data generated and collected by medical sensor networks introduces several challenges that existing architectures cannot solve. These challenges include scalability, availability and security. Furthermore, WSNs for medical applications provide useful and real information about patients' health state. This information should be available for healthcare providers to facilitate response and to improve the rescue process of a patient during emergency. Hence, emergency management is another challenge for medical wireless sensor networks. In this paper, we propose an innovative architecture for collecting and accessing large amount of data generated by medical sensor networks. Our architecture overcomes all the aforementioned challenges and makes easy information sharing between healthcare professionals in normal and emergency situations. Furthermore, we propose an effective and flexible security mechanism that guarantees confidentiality, integrity as well as fine-grained access control to outsourced medical data. This mechanism relies on Ciphertext Policy Attributebased Encryption (CP-ABE) to achieve high flexibility and performance. Finally, we carry out extensive simulations that allow showing that our scheme provides an efficient, fine-grained and scalable access control in normal and emergency situations.

Abstract-There has been a host of research works on wireless sensor networks for medical applications. However, the major shortcoming of these efforts is a lack of consideration of data management. Indeed, the huge amount of high sensitive data generated and collected by medical sensor networks introduces several challenges that existing architectures cannot solve. These challenges include scalability, availability and security. In this paper, we propose an innovative architecture for collecting and accessing large amount of data generated by medical sensor networks. Our architecture resolves all the aforementioned challenges and makes easy information sharing between healthcare professionals. Furthermore, we propose an effective and flexible security mechanism that guarantees confidentiality, integrity as well as fine grained access control to outsourced medical data. This mechanism combines several cryptographic schemes to achieve high flexibility and performance.

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Recently introduced, Attribute-based encryption (ABE) is a promising cryptographic method proposed by Sahai and Waters. This technique provides means for designing scalable and ne-grained access control. In ABE, data are encrypted with an access structure which is the logical expression of the access policy (eg: the data can be accessed by physician in cardiology division or by nurses). The cyphertext (encrypted data) can be decrypted by any user if his secret key has attributes that satisfy the access policy. The power of ABE is that we do not need to rely on the storage server for avoiding unauthorized data access since the access policy is embedded in the cyphertext itself. This makes ABE good solution to provide a ne-grained access control for medical applications, where data is outsourced on untrusted servers like the case of the Cloud. However, for emergency management, integrating ABE creates particular challenges for providing temporary access victims medical data when this is needed. In this paper we present our architecture for secure emergency management in healthcare area. We address the challenge of ABE integrating for providing temporary access victims medical data in emergency situation. In addition, we use wireless sensor network (WSN) technology to provide early emergency detection.

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