International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 04 | Apr -2017
www.irjet.net
e-ISSN: 2395 -0056 p-ISSN: 2395-0072
Privacy Protection for Medical Sensed Data Nithesh R1, Ravikumar H R1, Sachin M S1, Vimal Raj M1, Yuvaraj B N2 BE, Department of CSE, NIE Mysuru,, Karnaraka, India. Professor, Department of CSE, NIE Mysuru,, Karnaraka, India. 1
2
--------------------------------------------------------------------***--------------------------------------------------------------Abstract – Wireless sensor networks is used in healthcare
A new data access protocol is used which is on the basis of Paillier[3] cryptosystem. This protocol allows the user (e.g., physician) to access the patient data without revealing it to any other data servers. A new privacy-preserving statistical analysis protocol on the basis of Paillier[3] and ElGamal[4] cryptosystems. These protocols allow the user to perform the analysis statistically without affecting the patient data privacy.
applications, such as hospitals and home patient monitoring. These are susceptible to attacks like eavesdropping, modification, impersonation and replaying attacks. Here, the practical approach to prevent the inside attack is done by distributing the patients’ sensed data in multiple servers and using the Paillier and ElGamal Cryptosystems to perform static analysis on the sensed data of the patients without compromising the privacy of the patients’ sensed data.
Key Words: Wireless sensor network, patient data privacy, Paillier and ElGamal encryption.
2. PAILLIER CRYPTOSYSTEM AND ELGAMAL CRYPTOSYSTEM
1. INTRODUCTION
These are the two basic building blocks of the solution that is proposed here.
A wireless sensor network consists of spatially distributed autonomous sensors to monitor physical or environmental conditions and to pass their data through the network to the main location. Health care applications are considered as promising field for wireless sensor networks, where patients can be monitored in hospitals and even at home using wireless medical sensor networks. Many applications of healthcare have use wireless sensor networks, such as Codeblue[1], Alarm Net[2]. Threats to patients’ sensed data are: One is Eavesdroppig. It is done by using the powerful receiver antenna, which captures the patients’ data from medical sensor and knows the patients’ health condition. Second is Impersonation, here an attacker may impersonate a wireless rely point while patient data is transmitting to the remote location and thus setting the false alarms. Third is Modification, here during the transmission of patients’ data an attacker may capture the data from the wireless channel and alters.
2.1 Paillier Public-Key Cryptosystem The Paillier encryption scheme [3] is a probabilistic public key encryption algorithm. It consists of key generation, encryption and decryption algorithms as follows.
2.1.1
It works as follows:
Select two large prime numbers p and q randomly which are independent of each other such that gcd(pq,(p-1)(q-1))=1.
Compute N=pq, λ=lcm(p-1,q-1),
The goal here is to prevent the data from the above inside attacks. So the steps taken are
Key Generation Algorithm
Where lcm stands for least common multiple.
The sensor splits the sensed data into three components and sends them to multiple (here it is three) servers.
Select random integer g where g ϵ Z* N2 and ensure N divides the order of g by checking the existence of the following modular multiplicative inverse: µ=(L(gλ(mod N2)))-1(mod N),
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