A novel fast and secure approach for voice encryption based on dna computing. Complexity computational aspects of molecular systems design design of molecules. Basic architecture and applications of dna computing. Introduction to molecular computing masami hagiya professor, university of tokyo graduate school of information science and technology department of computer science.
This paper gives an overview of research achievements in dna computing and touches on the. However, the openness of these networks poses a serious threat to the security of image information. Over 10 million scientific documents at your fingertips. Dna encryption is the process of hiding or perplexing genetic information by a computational method in order to improve genetic privacy in dna sequencing processes. B elow we describe adleman s bioalgorithm that solves the 7 vertex instance. Dna computing foundations and implications springerlink. Dna computing seminar ppt with pdf report there is a simple and elegant idea behind the dna computing. We will see an example, of the algorithm at work, on formula. Modifications to current technology invitro evolution suffice to implement pointwise mutation.
The clique algorithm is one of the girdbased clustering techniques for spatial data. Implementation of evolutionary algorithms using dna computing. Clustal can match 100 to dna computing is a branch of computing which uses dna, biochemistry, and molecular biology hardware, instead of the traditional siliconbased computer technologies. Dna digital data storage is the process of encoding and decoding binary data to and from synthesized strands of dna while dna as a storage medium has enormous potential because of its high storage density, its practical use is currently severely limited because of. However, dna computing algorithm has some limitations in terms of convergence speed. For sake of brevity, the focus of this paper is retained on the encryption and decryption algorithm and not dealt in detail. Multiple dna crypto algorithms has been researched and published like the symmetric and asymmetric key crypto system using dna, dna steganography systems, triple stage dna cryptography, encryption algorithm inspired by dna and chaotic computing. Genetic algorithms in search, optimization and machine learning. A private key is used to generate a permutation p of size n, where n is half of the size of the required cryptographic key k using any permutation generation algorithm. Whereas current technology rests on a highly linear principle of logic, and one computation must be completed before the next can begin, the use of dna means that an enormous number of calculations can take place simultaneously. Networks have developed very quickly, allowing the speedy transfer of image information through internet. In addition to the cryptography of text files, we can propose an interesting encryption algorithm based on a chaotic selection between original. Parallel search algorithms have been employed in a number of experiments for solving smallscale instances.
Pdf a novel text and image encryption method based on. The algorithm is also applied to control design with the simplest controller through special frameshift mutation such as enzyme and virus. Theoretical models of dna computation traditional trend. In dna computing algorithm, we use short dna strands to represent layers and long dna strands to represent overall networks. Mar 02, 2017 the concept of dna computing was first introduced in 1994. In caga clusteringbased adaptive genetic algorithm, through the use of clustering analysis to judge the optimization states of the population, the adjustment of pc and pm depends on these optimization states. A new image encryption algorithm based on dna approach ritu gupta dept. A dnasticker algorithm for cryptanalysis lfsrs and nlfsrs based stream cipher. In this paper, the concepts of 1dimensional dna cellular automata and t dna cellular automata are defined, and the.
Pdf dna computing and its applications researchgate. The dna computing based encryption and decryption algorithm. The dna computing based encoding algorithm the dna encoding algorithm has a welldefined process and explained in detail in17. A dynamic programming algorithm for circular single. Design of molecular reactions application of computational power of molecular reactions. Dna computing has been applied in broad fields such as graph theory, finite state problems, and combinatorial problem. Dna computing approaches are more suitable used to solve many combinatorial problems because of the vast parallelism and highdensity storage. The proposed dna based cryptographic key generation algorithm can be summarized as follows. Construction of codes for dna computing by the greedy algorithm nabil bennenni, kenza guenda and t.
Aaron gulliver university of science and technology, usthb, algiers, algeria. He used dna to solve a sevennode hamiltonian path problem, a special case of an npcomplete. It deals with the biochips made of dna that are able to perform billions of calculations at once by multiplying themselves in number. In this type of computing, dna is used for encoding information and implementing computational algorithms by the use of chemical and biological operations. Below, we describe adlemans bioalgorithm which solves the sevenvertex instance of the hpp illustrated in fig.
Problems multiple dna sequence matching is an np complete problem 3 or more sequences, use heuristic methods dynamic programming. Of cse inderprastha engineering college, ghaziabad, up, india abstract in recent years, various dna based cryptographic algorithms have been suggested to develop secure image encryption. Construction of codes for dna computing by the greedy algorithm. May 11, 2019 the algorithm maps the complete set of quantum gates and their relative positions as a simple dna, a generation of multiple random quantum algorithm dna are generated and compared to the desired output quantum state, the best members of this generation are bred cut and joined together and mutated random dna changes to create the next. Integrating dna computing in international data encryption. Of cse inderprastha engineering college, ghaziabad, up, india anchal jain dept.
There are several existing algorithms which successfully locate the presence of a pattern in a text. The algorithm maps the complete set of quantum gates and their relative positions as a simple dna, a generation of multiple random quantum algorithm dna are generated and compared to the desired output quantum state, the best members of this generation are bred cut and joined together and mutated random dna changes to create the next. The field of image encryption has drawn attention for this reason. We found that most of the learned models perform similarly, and only those performing worse during the. Dna computing algorithm was applied for setting the pi parameters and matlab mfile was written. In this paper, we introduce basic architecture of dna computing. A novel text and image encryption method based on chaos theory and dna computing. A genetic algorithm based pattern matcher sagnik banerjee, tamal chakrabarti, devadatta sinha abstract pattern matching is the method of searching a pattern in a text. Dna computing using singlemolecule hybridization detection ncbi. The main source of this knowledge was the theory of computation community, which has been my academic and social home throughout this period. Dna cryptography an area of dna computing bioinform proteom opn acc j dna cryptography an area of dna computing senapati kk department of computer science and engineering, birla institute of technology, mesra, india.
Towards evolutionary dna computing populations of trillions of candidates evaluated for fitness. While the above encoding example is purely hypothetical, dna strands of. For example, instead of utilizing huge amounts of electronic computer power to perform relatively. Research and development in this area concerns theory, experiments, and applications of dna computing. Dna digital data storage is the process of encoding and decoding binary data to and from synthesized strands of dna while dna as a storage medium has enormous potential because of its high storage density, its practical use is currently severely limited because of its high cost and very slow read and write times. Despite the complexity of this technology, the idea behind dna computing follows from a simple analogy between the following two processes, one. A clique algorithm using dna computing techniques based on. The construction of the binary codes is straightforward.
An image encryption scheme based on dna computing and. Dna computing is a class of molecular computing that does computation by the use of reactions involving dna molecules. Molecular computing is computation done at the molecular scale. In addition to the cryptography of text files, we can propose an interesting encryption algorithm based on a. Introduction ecently developed dna computing algorithms. In aga adaptive genetic algorithm, the adjustment of pc and pm depends on the fitness values of the solutions. Dna cryptography an area of dna computing bioinform proteom opn acc j dna cryptography an area of dna computing senapati kk department of computer science and engineering, birla institute of technology. March 27, 2018 acknowledgments in this book i tried to present some of the knowledge and understanding i acquired in my four decades in the eld. Dna computing is an area of natural computing based on the idea that. Pdf dna computing and its application researchgate. Geneticbased task scheduling algorithm in cloud computing environment safwat a. Feb 25, 20 dna computing a computer that uses dna deoxyribonucleic acids to store information and perform complex calculations.
Pdf the aim of this manuscript is to illustrate the current state of the art of dna computing achievements. A novel dna computing based encryption and decryption algorithm. The algorithm was obtained by adding to the knuthmorrispratt algorithm. In this paper, we present a dynamic programming algorithm to predict the secondary structure of singlestranded dna tiles. Introduction to dna computing 25 chapter 2 introduction to dna computing 2. Dna computing aims at using nucleic acids for computing. We propose a new image encryption algorithm based on dna sequences combined with chaotic maps. Github llensquantumcomputingevolutionaryalgorithmdesign. A genetic algorithm ga is a kind of soft computing with genetic mechanism. The algorithm calculates all possible maximum matches based on the nearestneighbourmodel and.
Dna has a great cryptographic strength, its binding properties between nucleotides bases at, cg offer the possibility to create selfassembly structures which are an efficient means of executing parallel molecular computations. For example, dna polymerase will make a watsoncrick complemen tary dna strand fr om a dna template. Qpsobased adaptive dna computing algorithm hindawi. A novel text and image encryption method based on chaos. Introduction to molecular computing table of contents. Artificial intelligence and dna computing springerlink. Dna cryptography can be defined as a hiding data in terms of dna sequence. Computing with dna pratiyush guleria nielit, chandigarh, extension centre, shimla, himachal pradesh, india abstract this paper presents a dna computing potential in areas of encryption, genetic programming, language systems, and algorithms. Bioinspired computing a b s t r a c t dna computing is a new computing paradigm utilizing actual dna oligonucleotides to do computation by employing biomolecular tools to get the reaction and outputs extraction. Binary ldpc codes for dna storage in this section, we present the binary ldpc codes for dna storage. Construction of codes for dna computing by the greedy. Mar 31, 2016 genetic algorithm or ga is a search technique used in computing to find true or approximate solutions to optimization and search problems for function of 2 variable.
Clearly, computing with dna has massive advantages over siliconbased machines. Dna computing based encryption and decryption algorithm. Finally, the empirical results of our proposed algorithm will be compared with aes open ssl algorithm. In fact, dna polymerase needs a star t 56 scientific american august 1998 computing with dna c onsider a map of cities connected by certain nonstop flights top right. In principle there could be billions upon trillions of dna molecules undergoing chemical reactions, that is, performing computations, simultaneously 3. Dna computing techniques might process in parallel for the population billion times larger than in conventional computers. System identification and control using dna computing algorithms. Structure learning of deep networks via dna computing. Dna secondary structureprediction is the key part for these dna nanotechnologies. Geneticbased task scheduling algorithm in cloud computing. We propose our decoder that is inspired by turbo decoder. A new image encryption algorithm based on dna approach. The main benefit of using dna computers to solve complex problems is that different possible solutions are created all at once. Analysis of computational power of molecular reactions computational models.
An external file that holds a picture, illustration, etc. This new approach aims to perform dna computing algorithm with adaptive parameters. In addition to the cryptography of text files, we can propose an interesting encryption algorithm based on a chaotic selection between original message dna strands and otp dna strands. Dna computing is a branch of computing which uses dna, biochemistry, and molecular biology hardware, instead of the traditional siliconbased computer technologies. Keywordsdna computing algorithm, electronion interaction potential, systems identification i. The human genome is complex and long, but it is very possible to interpret important, and identifying, information from smaller variabilities, rather than reading the entire genome. A clustering algorithm using dna computing based on three. Dna deoxyribose nucleic acid computing, also known as molecular computing is a new approach to massively parallel computation based on groundbreaking work by adleman.
Abstract this paper presents a dna computing potential in areas of. Dna computing, as will become apparent in the examples presented in this article. Dna computing has been by far the most successful in scale and complexity of the computations and molecular assemblies done of all. Adleman created the first computer to use dna to solve a problem. Basic computer science most of the existing models of dna computing have their formal basis in the theory of computing. Dna computing is a relatively new computing paradigm that has attracted great interest in the.
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