Jojo Moses Eghan

Feature Based Encryption Technique for Securing Forensic Biometric Image Data Using AES and Visual Cryptography

With the current emergence of biometric image data applications on devices such as smart phones, security cameras, personal computers etc, there is a need for securing the image templates obtained from crime scenes as well as such devices before storing them in locations such as the cloud etc. In this paper, we proposed an encryption technique of securing the biometric image data collected from devices with an approach of feature based encryption technique. The biometric image data was encrypted using advanced encryption process and visual cryptography method. The method engaged the encrypted feature extracted from the plain image in the encryption process and used in to encrypt the image based on a visual cryptographic technique. Analysis of the plain and ciphered image was done and there was no pixel expansion in the process. The implementation was done using MATLAB.

A Hybrid Encryption Technique for Securing Biometric Image Data Based on Feistel Network and RGB Pixel Displacement

Biometric data in a form of images collected from biometric devices and surveillance devices needed to be protected during storage and transmission. Due to the Nature of biometric data, information of the evidence or content of the images need to be preserve after encryption of the plain image and the decryption of the ciphered image. This has to be achieved with a good level of hardness encryption algorithm. Hence this work has proposed a hybrid encryption technique for securing biometric image data based on Feistel Network and RGB pixel displacement. The implementation was done using MATLAB.

A Security Technique for Authentication and Security of Medical Images in Health Information Systems

Medical images stored in health information systems, cloud or other systems are of key importance. Privacy and security needs to be guaranteed for such images through encryption and authentication processes. Encrypted and watermarked images in this domain needed to be reversible so that the plain image operated on in the encryption and watermarking process can be fully recoverable due to the sensitivity of the data conveyed in medical images. In this paper, we proposed a fully recoverable encrypted and watermarked image processing technique for the security of medical images in health information systems. The approach is used to authenticate and secure the medical images. Our results showed to be very effective and reliable for fully recoverable images.

A Novel Hybrid Discrete Cosine Transformation and Visual Cryptographic Technique for Securing Digital Images

Security of digital images in todays cyber is a major concern. Transmission of compressed and uncompressed multimedia data is necessary for communication between different devices. Devices of different screen features and resolution need very efficient and fast compression techniques in order to maintain visual features of transmitted media. Robustness is of a key consideration and importance in image compression techniques. Full recovery of images after compression is a challenge for image compression algorithms. It is practically closely impossible for most encrypted-compressed-images or compressed-encryptedimages to be efficiently and fully reconstructed. In this paper we proposed a robust, efficient and fully recoverable encrypted-compressed image based on hybrid discrete cosine transformation and visual cryptographic technique for securing digital images. We first encrypted the image without pixel loss and then compressed the image which resulted into pixel loss during the compression phase. We decrypted the compressed image by obtaining perfect visuals but losses in pixel values. The analysis of the process proved to be an efficient way of encrypting images and compressing them for other channels with less data capacity without the worry of visual loss as well as ensuring security of the data during transmission. The programming and implementation was done using MATLAB.

Feature Based Encryption Technique for Securing Digital Image Data Based on FCA-Image Attributes and Visual Cryptography

Lossless pixel value encrypted images still maintains the some properties of their respective original plain images. Most of these cryptographic approaches consist of visual cryptographic techniques and pixel displacement approaches. These methods of cryptography are useful in cases as medical image security where pixel expansion is avoided in both the encryption and decryption processes. In this paper we propose a hybrid cryptographic encryption approach by using features generated from digital images based on Galois lattice theory and a visual cryptographic technique based on RGB pixel displacement. The features extracted from a plain image and a lattice was generated which was then used to generate a key used to encrypt the plain image. At the end of the process, there was no pixel expansion and the arithmetic mean, the entropy as well as the Galois lattice of both ciphered and plain image remained the same. The features extracted from the plain image were the same as that of the ciphered image irrespective of pixel displacement that occurred, this makes our approach a suit-able basis for image encryption and storage as well as encrypted image indexing and searching based on pixel values. The implementation was done using Galicia, Lattice Miner and MATLAB..

A Cryptographic and Watermarking Encryption Technique for Securing and Authentication of Digital Images

Identity management is crucial in cyberspace where infringement of one’s privacy, copy right disputes, theft and other malicious activities are very rampant. There exists a need of ownership identification and authentication of digital images. In solving and contributing to this field, we proposed a cryptographic and watermarking encryption technique for securing and authentication of digital images for identity management. In our approach, we encrypt the data to be embedded into the image before embedding it to the image. We make sure we select a random position in the image based on an embedding key. We make sure the message to be embedded was converted into values that falls in between 0255. This is to avoid it being detected using forensic or steganalytic software. General Terms Security, Cryptography, watermarking, image processing

A Hybrid Cryptographic and Digital Watermarking Technique for Securing Digital Images

with the high increase in the transmission of digital data over secured and unsecured communications channels, security and privacy of such data is a concern to both the transmitter and the receiver. Many operations, be they military, police, fire service, intelligence etc. engages the use of systems that transmit sensitive data that needs to be secured. In this paper, we proposed a hybrid cryptographic and digital watermarking technique for securing digital images that are to be stored or transmitted across secured and unsecured communications. The cryptographic encryption technique made use of both pixel displacement and pixel encryption in securing the image. The digital watermarking technique was used to authenticate the image. The programming and implementation was done using MATLAB.

A Hybrid Cryptographic and Steganographic Security Approach for Identity Management and Security of Digital Images

Privacy and security of image data are of paramount importance in our ever growing internet ecosystem of multimedia applications. Identity and security of image content play a major role in forensics and protection against media property theft. Copyright issues and ownership management as well as source identification within today’s cyberspace are very crucial. In our work, we proposed a hybrid technique of ensuring security of digital images as well as owner Identification by combining cryptographic and steganographic approaches. The steganography was used to embed a secret identification tag into the image which was engaged using a secret key. This was applied directly on the pixel values of the image used. The cryptographic technique was used to encrypt the image to conceal its visual contents. The implementation was done successfully and analysis of the output results was done using MATLAB.

A Fast Discrete Cosine Transform and a Cryptographic Technique for Authentication and Security of Digital Images

In a cyberspace where disparate applications are engaged in multimedia transmission, data compression is a key for maintaining bandwidth usage efficiency as well meeting the data requirements of the disparate applications. Security of data in such environment needed to be guaranteed. Cryptographic approaches engaged in the process have to be efficient enough to stand against attacks and also to maintain important visual continents after compression. In our work, we proposed a fast discrete cosine transform and a cryptographic technique for authentication and security of digital images. The cryptographic approach was applied to the image after compression, and before decompression, the image was successfully decrypted without significant loss of visual data. There was a loss in pixel values due to the compression process. The implementation of the proposed approach was done successfully and analysis of the output results was done using MATLAB.

A Hybrid Image Cryptographic and Spatial Digital Watermarking Encryption Technique for Security and Authentication of Digital Images

The digital image data transmission and storage in todays cyberspace has increase with privacy and security concerns. Digital media collected from different sources such as surveillance systems, forensic databases, medical images are very sensitive hence security concerns regarding the safe transmission and authentication of such digital data across secured and unsecured communication channels needs to be addressed. This security to such images should be easily used to identify the source, detect modification and secure the content of the image as well as avoiding pixel loss during the original image recovery process. In this paper, we proposed a hybrid image cryptographic encryption and digital watermarking technique for the encryption and authentication of digital image content. The image encryption was done on the RGB channels and the spatial watermarking was successfully applied to the RGB-colour bands of the digital image and this rendered the watermark visibly subtle and difficult to detect under regular viewing. The digital watermarking technique was engaged to authenticate the image and detect modifications to the watermarked image. The watermark visibility and detection was difficult to detect and the image was successfully reconstructed without any loss of pixel value after decryption. The programming and implementation was done using MATLAB.