کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496566 862864 2012 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Stream cipher for binary image encryption using Ant Colony Optimization based key generation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Stream cipher for binary image encryption using Ant Colony Optimization based key generation
چکیده انگلیسی

Encryption of binary images is essential since it is vulnerable to eavesdropping in wired and wireless networks. The security of data becomes important since the communications over open network occur frequently. This paper focuses on encryption of binary image using a stream cipher method. In this paper we propose an Ant Colony Optimization (ACO) based approach of generating keys for encryption. The binary image is represented in a text form and encrypted using a stream cipher method. A novel technique termed Ant Colony Optimization Key Generation Binary Image Encryption (AKGBE) algorithm employs a character code table for encoding the keys and the plain text representing the binary image. The main advantage of this approach is that it reduces the number of keys to be stored and distributed. Experimental results demonstrating AKGBE's encrypting binary images of different sizes and the comparison of its performance with other stream cipher methods are presented.

Figure optionsDownload as PowerPoint slideHighlights
► AKGBE algorithm is proposed to generate the keystream based on the plain text denoting the encoded binary image.
► A character code table is used to encode the keystream and the plain text representing the encoded binary image.
► XOR operation is performed between the key values and the encoded values of the plain text to obtain the cipher image.
► The advantage is that it reduces the number of keys to be stored and distributed.
► The security of the system is increased by encoding the keys and the plain text denoting the encoded binary image.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 12, Issue 9, September 2012, Pages 2879–2895
نویسندگان
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