Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/6225
標題: 以混沌心電訊號為基礎之資訊安全傳輸
Secure Information Transmission Based on Chaotic ECG Signals
作者: 陳鏡崑
Chen, Ching-Kun
關鍵字: Communication Security
心電圖
Chaotic Encryption/Decryption
Chaos Synchronization
Electrocardiogram
安全通訊
混沌加密/解密
混沌同步
出版社: 電機工程學系所
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摘要: 心電圖為記錄人體心肌細胞電性改變後,身體體液電位變化以非侵入方式擷取之資訊。醫學ECG信號數據庫中顯示,每個人的ECG信號均極複雜且隨機變化,由於ECG信號的這種特質,因此個人ECG信號很難以人為方式變造複製。最近幾年國内外研究人員對生命循環系统的核心-ECG的非線性特性作了深入研究,研究論文顯示,心電訊號看似複雜,但卻顯現混沌動態特質,也就是ECG雖為非線性動態行為但具有特殊規律性。本論文嘗試以非線性心電訊號為研究對象,提出一種使用混沌心電訊號進行個人資料安全通訊的系統。由於心電訊號在時域上很難看出特徵,因此將心電訊號轉至相平面並利用混沌理論分析心臟動力學的整體特性,作為個人身份辨識的基礎。 混沌系統具有寬頻功率頻譜、軌跡難以估測及近似隨機訊號的特性,因此廣泛被應用於通訊安全的研究。傳統的加密演算法,藉由數學演算法產生適當的參數值,缺點為容易被截取及解密。本研究利用一個輕巧可攜式的心電訊號擷取器,擷取使用者的心電訊號,將所建構完成之混沌心電訊號特徵系統,結合混沌函數與同步電路技術,建構一個嶄新的私人資料安全通訊系統,數值模擬與實際電路的測試結果,證明該方法正確可行。
Electrocardiogram (ECG) signals vary from person to person, making them difficult to be imitated and duplicated. Biometric identification based on ECG is therefore a useful application of this feature. The synchronization of chaotic systems provides a rich mechanism which is noise-like and virtually impossible to guess or predict. Traditional encryption algorithms by mathematic algorithms generate the appropriate parameter values. The weakness is that they are likely to be intercepted and decrypted. This dissertation presents an information encryption/decryption scheme based on ECG signals with chaotic functions and transmission via synchronized circuits. The required ECG signals are acquired by a novel handheld device when two electrodes are simultaneously touched. The measured signals are then used to reconstruct ECG signals and extract the features by a feature extraction program. To implement the proposed secure communication system, a pair of Lorenz-based synchronized circuits are realized by using operational amplifiers, resistors, capacitors and multipliers. The testing results containing numerical simulation and experiments are given to demonstrate that the proposed method is correct and feasible. High quality randomness in ECG signals results in a widely expanded key space, making it an ideal key generator for personalized data encryption. The experiments reported in this dissertation demonstrate possibility of this approach in encrypting texts and images, and consequently in secure communications.
URI: http://hdl.handle.net/11455/6225
其他識別: U0005-0705201213241500
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0705201213241500
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