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. Despite the complexity of this technology, the idea behind dna computing follows from a simple analogy between the following two processes, one. Dna sequence matching using dynamic programming within. For example, instead of utilizing huge amounts of electronic computer power to perform relatively. For example, dna polymerase will make a watsoncrick complemen tary dna strand fr om a dna template. Introduction ecently developed dna computing algorithms. In this paper, we present a dynamic programming algorithm to predict the secondary structure of singlestranded dna tiles. Dna computing is a class of molecular computing that does computation by the use of reactions involving dna molecules. A novel dna computing based encryption and decryption algorithm. Geneticbased task scheduling algorithm in cloud 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. Analysis of computational power of molecular reactions computational models. A clustering algorithm using dna computing based on three. A dynamic programming algorithm for circular single. A novel text and image encryption method based on chaos. Dna computing algorithm was applied for setting the pi parameters and matlab mfile was written. 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. An image encryption scheme based on dna computing and. Pdf the aim of this manuscript is to illustrate the current state of the art of dna computing achievements. The algorithm calculates all possible maximum matches based on the nearestneighbourmodel and.
We propose a new image encryption algorithm based on dna sequences combined with chaotic maps. Modifications to current technology invitro evolution suffice to implement pointwise mutation. Structure learning of deep networks via dna computing. The algorithm is also applied to control design with the simplest controller through special frameshift mutation such as enzyme and virus. 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. Integrating dna computing in international data encryption. Finally, the empirical results of our proposed algorithm will be compared with aes open ssl algorithm.
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. In this paper, the concepts of 1dimensional dna cellular automata and t dna cellular automata are defined, and the. 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. In dna computing algorithm, we use short dna strands to represent layers and long dna strands to represent overall networks. Dna computing foundations and implications springerlink.
A dnasticker algorithm for cryptanalysis lfsrs and nlfsrs based stream cipher. In this paper, we introduce basic architecture of dna computing. Github llensquantumcomputingevolutionaryalgorithmdesign. Pdf a novel text and image encryption method based on. Keywordsdna computing algorithm, electronion interaction potential, systems identification i. Below, we describe adlemans bioalgorithm which solves the sevenvertex instance of the hpp illustrated in fig.
Parallel search algorithms have been employed in a number of experiments for solving smallscale instances. 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. A dna computing algorithm based on a test message which was taken and then, it is. The field of image encryption has drawn attention for this reason.
We will see an example, of the algorithm at work, on formula. Abstract this paper presents a dna computing potential in areas of. The construction of the binary codes is straightforward. Implementation of evolutionary algorithms using dna computing. Research and development in this area concerns theory, experiments, and applications of dna computing. Introduction to dna computing 25 chapter 2 introduction to dna computing 2.
A clique algorithm using dna computing techniques based on. Dna computing is a branch of computing which uses dna, biochemistry, and molecular biology hardware, instead of the traditional siliconbased computer technologies. System identification and control using dna computing algorithms. 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. In addition to the cryptography of text files, we can propose an interesting encryption algorithm based on a. Mar 02, 2017 the concept of dna computing was first introduced in 1994. Qpsobased adaptive dna computing algorithm hindawi. We found that most of the learned models perform similarly, and only those performing worse during the. While the above encoding example is purely hypothetical, dna strands of. Pdf dna computing and its application researchgate. 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. 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. Basic architecture and applications of dna computing.
The main benefit of using dna computers to solve complex problems is that different possible solutions are created all at once. In aga adaptive genetic algorithm, the adjustment of pc and pm depends on the fitness values of the solutions. The proposed dna based cryptographic key generation algorithm can be summarized as follows. Pdf dna computing and its applications researchgate. Clearly, computing with dna has massive advantages over siliconbased machines. Introduction to molecular computing table of contents.
Dna computing approaches are more suitable used to solve many combinatorial problems because of the vast parallelism and highdensity storage. Construction of codes for dna computing by the greedy algorithm nabil bennenni, kenza guenda and t. Genetic algorithms in search, optimization and machine learning. The clique algorithm is one of the girdbased clustering techniques for spatial data. 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.
Dna computing seminar ppt with pdf report there is a simple and elegant idea behind the dna computing. Dna computing, as will become apparent in the examples presented in this article. A novel text and image encryption method based on chaos theory and dna computing. Construction of codes for dna computing by the greedy algorithm. For sake of brevity, the focus of this paper is retained on the encryption and decryption algorithm and not dealt in detail. Design of molecular reactions application of computational power of molecular reactions. Towards evolutionary dna computing populations of trillions of candidates evaluated for fitness. The algorithm was obtained by adding to the knuthmorrispratt algorithm. 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.
A new image encryption algorithm based on dna approach ritu gupta dept. Dna computing has been by far the most successful in scale and complexity of the computations and molecular assemblies done of all. 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. 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. Dna computing has been applied in broad fields such as graph theory, finite state problems, and combinatorial problem. However, dna computing algorithm has some limitations in terms of convergence speed. Dna computing based encryption and decryption algorithm. Problems multiple dna sequence matching is an np complete problem 3 or more sequences, use heuristic methods dynamic programming. There are several existing algorithms which successfully locate the presence of a pattern in a text. The main source of this knowledge was the theory of computation community, which has been my academic and social home throughout this period. Feb 25, 20 dna computing a computer that uses dna deoxyribonucleic acids to store information and perform complex calculations. He used dna to solve a sevennode hamiltonian path problem, a special case of an npcomplete. Over 10 million scientific documents at your fingertips. 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.
For more molecular biology terminology and notions the reader is referred to kari 1997, watson et al. Adleman created the first computer to use dna to solve a problem. 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. This paper gives an overview of research achievements in dna computing and touches on the. An external file that holds a picture, illustration, etc. 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. 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. 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. 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. Dna computing techniques might process in parallel for the population billion times larger than in conventional computers. Dna cryptography can be defined as a hiding data in terms of dna sequence. Introduction to molecular computing masami hagiya professor, university of tokyo graduate school of information science and technology department of computer science.
We propose our decoder that is inspired by turbo decoder. Artificial intelligence and dna computing springerlink. Dna deoxyribose nucleic acid computing, also known as molecular computing is a new approach to massively parallel computation based on groundbreaking work by adleman. A novel fast and secure approach for voice encryption based on dna computing. Molecular computing is computation done at the molecular scale. B elow we describe adleman s bioalgorithm that solves the 7 vertex instance. Of cse inderprastha engineering college, ghaziabad, up, india anchal jain dept.
Image encryption algorithm based on dna encoding and chaotic maps. Dna computing using singlemolecule hybridization detection ncbi. Construction of codes for dna computing by the greedy. In principle there could be billions upon trillions of dna molecules undergoing chemical reactions, that is, performing computations, simultaneously 3. In this type of computing, dna is used for encoding information and implementing computational algorithms by the use of chemical and biological operations. In addition to the cryptography of text files, we can propose an interesting encryption algorithm based on a chaotic selection between original.
Geneticbased task scheduling algorithm in cloud computing environment safwat a. Networks have developed very quickly, allowing the speedy transfer of image information through internet. Binary ldpc codes for dna storage in this section, we present the binary ldpc codes for dna storage. It deals with the biochips made of dna that are able to perform billions of calculations at once by multiplying themselves in number. Aaron gulliver university of science and technology, usthb, algiers, algeria.
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. Dna computing aims at using nucleic acids for computing. Dna secondary structureprediction is the key part for these dna nanotechnologies. The dna computing based encoding algorithm the dna encoding algorithm has a welldefined process and explained in detail in17.
This new approach aims to perform dna computing algorithm with adaptive parameters. A genetic algorithm ga is a kind of soft computing with genetic mechanism. Dna computing was proposed as a means of solving a class of intractable computational problems in which the computing time can grow exponentially with problem size the np. Dna computing is an area of natural computing based on the idea that. 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. A new image encryption algorithm based on dna approach. Complexity computational aspects of molecular systems design design of molecules.
1071 141 902 400 591 506 130 1471 19 1374 898 1349 1430 495 1010 670 1185 775 43 241 1361 431 930 541 548 1253 443 1398