Transreceiving of encrypted medical image – a cognitive approach
- 293 Downloads
Recently, there is an increasing demand for efficient and secure transreception of medical images in telemedicine applications. Though a fixed spectrum is allocated to each user, most of the time it remains unused by the concerned user. Cognitive Radio (CR) is a technology that utilizes the unused spectrum efficiently by adopting spectrum sensing concept. This paper proposes an efficient and secure transmission of medical images by adopting CR technology and image encryption technique. Firstly, the novel medical image encryption algorithm is proposed to encrypt the DICOM (Digital Imaging and Communications in Medicine) image effectively. Then, the spectrum sensing technique is carried out via Universal Software Radio Peripheral (USRP) to sense the unused frequency band to transmit the encrypted bio signal. The proposed encryption algorithm combines DNA (Deoxyribo Nucleic Acid) sequence operation and chaotic maps to successfully encrypt the DICOM image pixels. Experimental results are done and various analysis such as Unified Average Changing Intensity (UACI), Number of Pixel Changing Rate (NPCR), entropy estimation and chi-square tests are carried out to validate the sternness of the encryption algorithm.
KeywordsImage encryption DNA Chaotic maps Cognitive radio USRP
Authors would like to express their sincere thanks to SASTRA University, for the financial support under R&M fund (R&M/0027/SEEE – 010/2012–13) to carry out this research work. Also, we are grateful to Dr. S. Vanoli, Medical Superintendent, Government Hospital, Ariyalur, for his valuable suggestions in carrying out this work.
- 3.Alsaedi, M. (2016) Colored image encryption and decryption using multi-chaos 2D quadratic strange attractors and matrix transformations. Multimed Tools Appl (2016). doi: 10.1007/s11042-016-4206-4
- 7.Boriga, R., Dǎscǎlescu, A.C., Diaconu, A.-V. (2014) A new one-dimensional chaotic map and its use in a novel real-time image encryption scheme (2014) advances in multimedia, 2014, art. no. 409586. doi: 10.1155/2014/409586
- 10.Dridi M, Bouallegue B, Mtibaa A (2014) Crypto-compression of medical image based on DCT and chaotic system. Global Summit on Computer & Information Technology (GSCIT), Sousse, pp. 1-6. doi: 10.1109/GSCIT.2014.6970113
- 14.Khan MK, Zhang J (2007) An intelligent fingerprint-biometric image scrambling scheme. Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence Volume 4682 of the series Lecture Notes in Computer Science pp 1141–1151. doi: 10.1007/978-3-540-74205-0_118
- 15.Khan MK, Zhang J, Tian L (2005) Protecting biometric data for personal identification. Advances in Biometric Person Authentication Volume 3338 of the series Lecture Notes in Computer Science pp 629–638 doi: 10.1007/978-3-540-30548-4_72
- 23.Liao X, Li K, Yin J (2016) Separable data hiding in encrypted image based on compressive sensing and discrete Fourier transform. Multimed Tools Appl (2016). doi: 10.1007/s11042-016-3971-4
- 25.Liu H, Wang X, kadir A (2012) Image encryption using DNA complementary rule and chaotic maps. Appl Soft Comput 12:1457–1466. doi: 10.1016/j.asoc.2012.01.016
- 36.Troncoso-Pastoriza JR, Katzenbeisser S, Celik M (2007) Privacy preserving error resilient DNA searching through oblivious automata. In Proceedings of the 14th ACM conference on Computer and communications security (CCS '07). ACM, New York, NY, USA, 519–528. doi: 10.1145/1315245.1315309
- 37.Watson JD, Crick FHC (1953) A structure for deoxyribose nucleic acid. Nature 171:737–738 http://www.nature.com/nature/dna50/watsoncrick2.pdf CrossRefGoogle Scholar