本文为美国托莱多大学（作者：SrinivasaRao Basavarasu）的硕士论文，共118页。
本文研究高级加密标准（AES）计数器模式（CTR/CM）作为独立的引擎用于语音和图像数据安全的具体实现。本文的设计可以容易地适应最新的第四代（4G）无线宽带技术，如WiMAX，并具有改进的性能。当通过有噪声的通信信道传输数据时，数据会受到噪声的影响，从而导致错误。通常采用前向纠错码来纠正这些错误。然而，当使用秘密密钥算法加密的数据通过这种噪声进行传输时，误差成指数增加。在这种情况下，前向纠错已经被证明是纠正这种错误的徒劳努力，需要新技术来纠正这些错误。
本文的方法分为两部分，首先利用计数器模式对音频和图像数据进行加密，以说明其实现的可行性，然后提出了一种在噪声环境下提高加密数据性能的新技术。然后将Bose、Chauduri和Hocquenheim(BCH)码与此新方法结合使用，与仅使用标准纠错过程的那些技术相比，降低了总的比特错误率(BER)。
This thesis deals with the implementationof the Advanced Encryption Standard’s (AES) counter mode (CTR/ CM) as astandalone engine for securing voice and image data. This implementation can beeasily adapted to the latest fourth generation (4G) wireless broadband technologies like WiMAX, withimproved performance. Data, when transmitted through a noisy communicationchannel, is adversely affected by it resulting in errors. Forward errorcorrecting codes are conventionally employed to correct these errors. However,when data that is encrypted using a secret key algorithm is transmitted throughsuch noise however, the errors increase exponentially. Forward error correctionproves to be a futile endeavor to correct such errors and new techniques areneeded to correct these errors. The approach in this thesis is twofold, firstto use the counter mode to encrypt audio and image data, to show thefeasibility of implementation and, then to arrive at a new technique to improveperformance of encrypted data in the presence of noise. A Bose, Chauduri andHocquenheim (BCH) code is then used in conjunction with this new method toreduce the overall Bit Error Rate (BER) compared to those techniques which usestandard error correction procedures only.
1 引言
2 高级加密标准
3 采用AES-CTR的基于MATLAB的音频与图像加密
4 AES的误码特性
5 AWGN中采用FEC提高AES-CTR性能的结果展示
6 结论与未来工作展望
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