Military Imaging Systems Research Articles

Analysis of image security by triple DES

We all know that in this growing world digital services usage has become more, the digital services are like communication over the internet, medical field, military imaging systems these need will need a high level of security. To correctly store and transmit digital photographs containing sensitive information, a security level is required. This is due to the rapid advancement of multimedia technologies, the internet, and cell phones. As an outcome, image encryption resolutions are compulsory to safeguard photos from such attacks. In this system, we employ Triple DES to hide photographs (Data Encryption Standard). This sort of encryption helps to keep both active and passive threats at bay.

A NEW TECHNIQUE FOR DETERMINING REGION OF INTEREST IN SELECTIVE VIDEO PROTECTION APPROACH

Today, the use of video communication in real-time applications is rising at a rapid rate and most of these videos require secure transmission like surveillance, video conferencing, video on demand, and medical and military imaging systems. The trade-off between data security and real-time performance is the main challenge in this field. This paper presents a protection approach for H.246 compression standard that provides a balancing between the security level and coding efficiency. A new technique of region selection for the motion information of the video is designed based on canny edge detection scaling which reduces the amount of encrypted data ,and a strong and fast stream encryption is presented using key generation model of chaos method and RC4 algorithm. The experimental results of the performance metrics confirmed the high perceptual and cryptographic security of the proposed approach against attacks and showed that all the requirements of compression efficiency are satisfied.

A novel secret sharing scheme using multiple share images.

Secret image sharing has been widely applied in numerous areas, such as military imaging systems, remote sensing, and so on. One of the problems for image sharing schemes is to efficiently recover original images from their shares preserved by the shareholders. However, most of the existing schemes are based on the assumption that the shares are distortion-free. Moreover, the correspondence between secret images and their shares is definite. To overcome these shortcomings, we propose a novel secret sharing scheme using multiple share images based on the generalized Chinese remainder theorem (CRT) in this paper, where all of the shares are needed to recover the original images. Two categories of distortions are considered. In the first category, some pairs of shares with the same moduli are exchanged, while in the second category, some of pixels in the pairs of shares with the same moduli are exchanged. Based on these two sharing methods, we propose a generalized CRT based recovery method. Compared with the existing CRT based methods as well as combinatorial based methods, the proposed approach is much more efficient and secure. Furthermore, the conditions for successful recovery of two images from the given distorted shares are obtained. Simulations are also presented to show the efficiency of the proposed scheme.

High Performance Data Encryption based on Advanced Encryption Standard using FPGA

Many digital services, such as confidential video conferencing, medical, military imaging systems and the rapid progress of Internet, require reliable security and encryption in real time to store and transmit these digital images/videos.In this paper, a parallel implementation of the advanced encryption standard (AES) using pipelining technique is proposed. For more security, a pseudo random sequence generator (PRSG) is used in advance. The goal is to achieve a high-speed reliable security system for real time application. The parallel architecture is implemented on Field Programmable Gate Arrays (FPGA) family of Spartan_6 (XC6SLX16) using Very high speed Hardware Description Language (VHDL). An image encryption is taken as a case study. The system is capable to process image (256*256) in (0.00053) seconds; consequentially the real time requirement is achieved.

Search and detection modeling of military imaging systems

For more than 50 years, the U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (NVESD) has been studying the science behind the human processes of searching and detecting, and using that knowledge to develop and refine its models for military imaging systems. Modeling how human observers perform military tasks while using imaging systems in the field and linking that model with the physics of the systems has resulted in the comprehensive sensor models we have today. These models are used by the government, military, industry, and academia for sensor development, sensor system acquisition, military tactics development, and war-gaming. From the original hypothesis put forth by John Johnson in 1958, to modeling time-limited search, to modeling the impact of motion on target detection, to modeling target acquisition performance in different spectral bands, the concept of search has a wide-ranging history. Our purpose is to present a snapshot of that history; as such, it will begin with a description of the search-modeling task, followed by a summary of highlights from the early years, and concluding with a discussion of search and detection modeling today and the changing battlefield. Some of the topics to be discussed will be classic search, clutter, computational vision models and the ACQUIRE model with its variants. We do not claim to present a complete history here, but rather a look at some of the work that has been done, and this is meant to be an introduction to an extensive amount of work on a complex topic. That said, it is hoped that this overview of the history of search and detection modeling of military imaging systems pursued by NVESD directly, or in association with other government agencies or contractors, will provide both the novice and experienced search modeler with a useful historical summary and an introduction to current issues and future challenges.