By Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu Chaki
The ebook includes the prolonged model of the works which have been awarded and mentioned within the moment overseas Doctoral Symposium on utilized Computation and protection platforms (ACSS 2015) held in the course of may perhaps 23-25, 2015 in Kolkata, India. The symposium has been together geared up via the AGH college of technological know-how & expertise, Cracow, Poland; Ca’ Foscari collage, Venice, Italy and college of Calcutta, India. The publication is split into volumes and provides dissertation works within the parts of snapshot Processing, Biometrics-based Authentication, tender Computing, info Mining, subsequent iteration Networking and community protection, distant Healthcare, Communications, Embedded structures, software program Engineering and repair Engineering.
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Additional info for Advanced Computing and Systems for Security: Volume 1
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Fusion of ECG sources for human identification (2008) 25. : Investigation of human identification using two-lead electrocardiogram (ECG) signals (2010) 26. : Human identification by quantifying similarity and dissimilarity in electrocardiogram phase space. Pattern Recognit. 42, 1824–1831 (2009) 27. : The PTB Diagnostic ECG Database, National Metrology Institute of Germany. org/physiobank/database/ptbdb/. Accessed 19 June 2015 28. org/physiobank/ database/nsrdb/. Accessed 19 June 2015 29. : Check your biosignals here: a new dataset for off-the-person ECG biometrics.
7) and (8), the d-matrix and its inverse d−1 will, respectively, be 0 d À1 1 ¼ @1 6 1 0 6 2 6 0 5 A; d À1 ¼ @ 4 6 1 3 1 3 1 5 2 A: 1 4 Following Eq. (8), the solution of c0, c1 and c2 in Eq. (9) will be obtained from d−1 matrix. 2 3 2 3 c0 1 The solution for this problem is 4 c1 5 ¼ 4 2 5: 4 c2 Dynamic Ciphering-15 Based on Multiplicative Polynomial … 37 So one can obtain the required multiplicative inverse using Eq. (9) as bð xÞÀ1 ¼ cð xÞ ¼ c2 x2 þ c1 x þ c0 ¼ 4x2 þ 2x þ 1 À1 Hence ðx2 þ x þ 6Þ ¼ 4x2 þ 2x þ 1: It is simple to readily verify the fact that the elemental polynomial (4x2 + 2x + 1) is indeed the multiplicative polynomial inverse of the elemental polynomial (x2 + x + 6) over GF(73) under the irreducible polynomial (x3 + 2x2 + 6x + 1).
Performance of KNN is seen in the present work, but more classifiers can also be experimented to improve the results further. HRV data can also be used in liveness detection hence attempts in those directions would yield interesting results. HRV can also be experimented in multimodal system and is expected to add much needed robustness and efficiency. With little modification in hardware and data acquisition software, the same setup can also be used for continuous authentication. Due to a simple user friendly device we designed, all these research dimensions look achievable.
