استخدام العلامات الحيوية في توليد مفاتيح التشفير في شبكات حساسات الجسم اللاسلكية

Abstract

   Using biometric parameters is very effective way to protect communication over Wireless Body Sensor Networks (WBSNs). We can use patient body to generate cryptography keys by biometric parameters, and we call them biometric keys. Even that using traditional biometric parameters increases security degree in protection systems, it has many disadvantages, which encouraged using more effective biometric parameters such as Electrocardiograms (ECG) and  ElectroEncephaloGraphy(EEG).

        In this paper, we present a scheme for generating 1024-bit random number strings by combining both ECG signal features using the MIT_BIH Arrhythmia database, and EEG signal features for motion imagery using the EEG Motor Movement/Imagery. We studied the randomness of these strings through National Institute of Standards and Technology (NIST) statistical tests, studied the distinctiveness of these strings through the Hamming distance, and showed that these strings can be used as encryption keys in security applications.