Musical Cryptography. Empirical Analysis of Algorithms

Academic Paper from the year 2020 in the subject Musicology - Systematic musicology, , course: IMSc Mathematics and Computing, language: English, abstract: With an onset of electronic commerce and portable devices for communication, cryptology has become an exceedingly important science in the present day. The diversity of applications in which crypto-algorithms have to operate have increased and hence the requirement for the efficient algorithms have grown. Confidential information of a government or private agency or department is secured through the use of Cryptography. Musical properties, for example, notes of which the music is made are not consistent and shift from one arrangement to another. Same tune played by various composers shows a variety in the succession of notes utilized along with different qualities of a musical organization, for example, term of each note and the recurrence at which each note is played. Such a variety can be utilized to encode the message. In this work, we have joined the utilization of Hindustani (North Indian) melodic notes to encode messages and used this method on three ragas to test the robustness of the algorithm with different input size. We have utilized a semi-natural composition procedure to produce note successions of Indian music which would then be able to be utilized as a device for message stowing away. This from the outset place guarantees that the message is avoided the interloper and second it gives another irregular arrangement of notes each time same message is sent. So the very motivation behind a Cryptographic calculation is served. The scrambled message as melodic notes is at that point sent to the planned beneficiary as a melodic structure which helps in opposing the gatecrasher of detecting any classified data that is being sent over the correspondence channel.

Dr. Soubhik Chakraborty, an M.Sc. (Statistics), PhD (Science) and NET (UGC/CSIR) in Mathematical Sciences, is currently serving as the Professor & Head, Department of Mathematics at Birla Institute of Technology, Mesra, Ranchi, India. His research interests are algorithm analysis, music analysis and statistical computing. He has published several books, research monograms and research papers in peer reviewed journals of international and national repute in these areas apart from guiding several research scholars leading to PhD. He is also an acknowledged reviewer associated with ACM, AMS and IEEE. He has been a visiting scientist twice to Indian Statistical Institute (Bangalore Centre in 2002, Kolkata Centre in 2004, the latter under INSA fellowship). He is a leading figure in computational musicology and has written the first book on the topic (in the context of Hindustani music; see ref [1] in relevant publications). He has been the principal investigator of a UGC major research project titled Analyzing the structure and performance of Hindustani classical music through statistics in his institute. He has received several awards in both teaching and research including the National Award for Teaching Excellence (Mathematics) given by Indus Foundation (2013) and the Best Academic Researcher Award 2013 given by Association of Scientists, Developers and Faculties (2013). Prior to joining this institute in 2006 (Nov 30), he served as a lecturer in Statistics at T.M. Bhagalpur university where he taught Statistics at both undergraduate and postgraduate levels for about ten years. Relevant Publications (books):- 1.Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari and Moujhuri Patra, Computational Musicology in Hindustani Music, Springer, 2014 2.Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis, Signal Analysis of Hindustani Classical Music, Springer, 2017 3.Shashi Bhushan Singh, Soubhik Chakraborty, Keashav Mohan Jha, Satish Chandra, Shanti Prakash and Swarima Tewari, Music and Medicine: Healing Brain Injury through Ragas, CBH publications, 2016