195 research outputs found

    Review on DNA Cryptography

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    Cryptography is the science that secures data and communication over the network by applying mathematics and logic to design strong encryption methods. In the modern era of e-business and e-commerce the protection of confidentiality, integrity and availability (CIA triad) of stored information as well as of transmitted data is very crucial. DNA molecules, having the capacity to store, process and transmit information, inspires the idea of DNA cryptography. This combination of the chemical characteristics of biological DNA sequences and classical cryptography ensures the non-vulnerable transmission of data. In this paper we have reviewed the present state of art of DNA cryptography.Comment: 31 pages, 12 figures, 6 table

    A review on structured scheme representation on data security application

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    With the rapid development in the era of Internet and networking technology, there is always a requirement to improve the security systems, which secure the transmitted data over an unsecured channel. The needs to increase the level of security in transferring the data always become the critical issue. Therefore, data security is a significant area in covering the issue of security, which refers to protect the data from unwanted forces and prevent unauthorized access to a communication. This paper presents a review of structured-scheme representation for data security application. There are five structured-scheme types, which can be represented as dual-scheme, triple-scheme, quad-scheme, octal-scheme and hexa-scheme. These structured-scheme types are designed to improve and strengthen the security of data on the application

    Image Encryption Using Huffman Coding for Steganography, Elliptic Curve Cryptography and DWT for Compression

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    Abstract-An abstract is a brief summary of a research article or in-depth analysis of a particular subject or discipline, and is often used to help the reader quickly ascertain the paper's purpose. Images can be encrypted in several ways, by using different techniques and different encryption methods. In this paper, I am using Huffman Coding method for image steganography, Elliptic Curve Cryptography for image encryption and Discrete Wavelet Transform for image compression. In my work I am using steganography, encryption and compression all together on the image data. After applying all these techniques on image data it results in an encryption method which is highly secure. For the implementation of the proposed work we are using Matlab software

    Automatic region selection method to enhance image-based steganography

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    Image-based steganography is an essential procedure with several practical applications related to information security, user authentication, copyright protection, etc. However, most existing image-based steganographic techniques assume that the pixels that hide the data can be chosen freely, such as random pixel selection, without considering the contents of the input image. So, the “region of interest” such as human faces in the input image might have defected after data hiding even at a low inserting rate, and this will degrade the visual quality especially for the images containing several human faces. With this view, we proposed a novel approach that combines human skin-color detection along with the LSB approach which can choose the embedding regions. The idea behind that is based on the fact that the Human Vision System HVS tends to focus its attention on selectively certain structures of the visual scene instead of the whole image. Practically, human skin-color is good evidence of the existence of human targets in images. To the best of our knowledge, this is the first attempt that employs skin detection in application to steganography which consider the contents of input image and consequently can choose the embedding regions. Moreover, an enhanced RSA algorithm and Elliptic Curve Equation are used to provide a double level of security. In addition, the system embeds noise bits into the resulting stego-image to make the attacker’s task more confusing. Two datasets are used for testing and evaluation. The experimental results show that the proposed approach achieves a significant security improvement with high image quality

    Medical image encryption techniques: a technical survey and potential challenges

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    Among the most sensitive and important data in telemedicine systems are medical images. It is necessary to use a robust encryption method that is resistant to cryptographic assaults while transferring medical images over the internet. Confidentiality is the most crucial of the three security goals for protecting information systems, along with availability, integrity, and compliance. Encryption and watermarking of medical images address problems with confidentiality and integrity in telemedicine applications. The need to prioritize security issues in telemedicine applications makes the choice of a trustworthy and efficient strategy or framework all the more crucial. The paper examines various security issues and cutting-edge methods to secure medical images for use with telemedicine systems

    An More effective Approach of ECC Encryption Algorithm using DNA Computing

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    Now a day’s Cryptography is one of the broad areas for researchers. Encryption is most effective way to achieve data security. Cryptographic system entails the study of mathematical techniques of encryption and decryption to solve security problems in communication. Elliptic Curve Cryptography (ECC) is one of the most efficient techniques that are used for this issue. Many researchers have tried to exploit the features of ECC field for security applications. This paper describes an efficient approach based elliptic curve and DNA computing. The security of the scheme is based on Elliptic Curve Discrete Logarithm Problem (ECDLP). Existing DNA based cryptography technique need more computational power and more processing time with larger key sizes to provide higher level of security. The main goal of our construction is to enhance the security of elliptic curve cryptosystem using DNA Computing. Both image and text data are encrypted successfully

    Combine and Multilevel Implementation of Cryptographic and Data Hiding Algorithms to Provide a Hybrid Data-Security Scheme

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    It is generally accepted that data encryption is the key role in current and future technologies for information security. Cryptography plays an important task in accomplishing information security. Elliptic Curve Cryptography (ECC) is considered as more suitable for limited resources applications such as RFID, and for Chip based Systems such as modern day Pervasive and ubiquitous Computing Communication Systems, than other public key cryptography algorithms because of its small key size. Generally, a random generator is used to produce. ECC domain parameters. Here in this work, we have proposed “Combine and Multilevel Implementation of AES & ECC along with Steganography to provide a Hybrid Cryptographic Security technic in Data communication Systems. Which will help in development of an algorithm to secure the data of users (both Wired and Wireless/Satellite Communication) in complex manner with more security and accuracy by implementing multilevel and hybrid scheme of AES and ECC encryption algorithms along with Steganography. The design is implemented using the MATLAB R2012a simulations. The data is secured using the resulted public and private keys (generated by ECC in combination with (AES) encryption and decryption process) along with the technic of steganography for hiding this encrypted data in a fake message or Image to provide the strong cryptographic solution for highly secured data communication systems. It is tested over plain text and image with multiple data sizes. Furthermore, in order to elaborate the effectiveness of the proposed scheme, we provided a comprehensive performance analysis (evaluation) of the approach: hybrid implementation of symmetric and asymmetric key cryptographic algorithms w.r.t these parameters: time elapsed, data sizes, key sizes (variance of Key Space) and impact of steganography.

    Data Encryption and Decryption Using Hill Cipher Method and Self Repetitive Matrix

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    Since times immemorial, security of data to maintain its confidentiality, proper access control, integrity and availability has been a major issue in data communication. As soon as a sensitive message was etched on a clay tablet or written on the royal walls, then it must have been foremost in the sender’s mind that the information should not get intercepted and read by a rival. Codes, hence, form an important part of our history, starting from the paintings of Da Vinci and Michelangelo to the ancient Roman steganographic practices the necessity of data hiding was obvious

    The Two secured Factors of Authentication

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    One of the popular challenges that faces the Cloud Computing is the authentication problem. Authentication is a mechanism to establish proof of identities to get access of information in the system. There are several solutions to overcome this issue that it can be gathered in three authentication mechanisms which lead to a multifactorial authentication schema. The multi factor is proposed in this paper confirms the user's identity without sending it to the cloud server, which will gain our solution more security and fast response over other solutions that depend on sending the user identity to the server to be authenticated. The User's credentials have never exchanged with the server, it is only saved in the user's mind. We present an efficient authentication schema which based on two authentication factors, the first is the password-based authentication, which is processed in the user's machine, and the second is the biometric-based authentication which adds more secure factors to the authentication process. We use the Elgamal Elliptic Curve Cryptosystem and the symmetric encryption to overcome the security threads on the authentication process. Furthermore; we use the 3D face image as a second challenge response factor in our proposed algorithm. In addition, to save the bandwidth and computation, we use a mobile agent to pass the first factor of the authentication code to be executed in the client machine, and let the second factor to be executed in the cloud server
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