Aspects of a Watermark Solution

Although watermarking is a relatively new technology, there are many ways of applying it on an electronic data set with the purpose of ensuring copyright integrity and authenticity of the electronic data. But, bearing in mind the evolution of information technology and of communication, a watermark may be the target of several attacks which aim at its robustness, its form and even at its removal. In order to reduce these threats, this paper proposes a solution - digital watermarking completed by a hash function which has an important role in the authenticity of the content of a message and in the security of the transmission of this message through computer networks which are the main support of collaborative systems.Digital Watermarking, Hash Functions, Digital Information Security, Collaborative Systems

Comparative Analysis Spread Spectrum and Parity Coding Steganography in E-commerce

The transaction data online has increased compared to the previous communications that mostly in the form of voice and text messaging. To improve the security, data must be protected such a way that it cannot be attacked by unauthorized parties. In this case, a good security system must be able to transmit the original information to the second party without having to know the existence and validity by a third party. One of the security systems that can be used is steganography. In this paper, we will compare the performance of Spread Spectrum and Parity Coding in e-commerce based on Android in case of processing time between insertion and retrieval information, and the changing image size during the insertion process. Our experimental results show that parity coding has better performance on client side that use low performance smart phone based on Android operating system and spread spectrum has better performance on blackberry store server that use laptop PC

Software Piracy Root Detection Framework Using SVM Based On Watermarking

Software root piracy detection is tool to use for detect the owner of java software project or unauthorized copy of jar file. Existing system content the licensing mechanism for protecting our software from piracy but by skipping license or cracking that key piracy is done. The proposed system java based piracy detection software tool to overcome from this problem of piracy and find the offender. Proposed system use ‘Watermarking’ is a technique which attempts to protect the software by adding copyright notices or unique identifiers into software to prove ownership. We evaluate the existing Java watermarking systems and algorithms by using them to watermark byte code files. We develop the piracy root detection mechanism in this system. The advantage of this technique is that software watermarking is handled as the knowledge embedded into support vector machine and is closely associated with the program logic. It makes watermark more impossible to be destroyed and removed. We have to apply the watermarking content to the jar files of java software in this system the invisible watermarking is use. The results of the experiment further indicate that the proposed technique is a lightweight and effective software watermarking scheme

Hashing Based Software Watermarking for Source Code Files

Software is developed and delivered to clients as a routine part of software engineering life cycle . Software is quite an expensive entity. However various attacks are possible on software to make its illegal use. Different solutions are there to prevent piracy. Software watermarking embeds a watermark in the source code so that it is undetectable yet it proves the ownership of the developer. The technique has been tested for C++ source code files, however, it can be applicable on any other language. The proposed techniques scans the code for all possible constants, forms a hash sequence using MD5 algorithm that calculates the watermark and stores in Date & Watermark Value Repository (DWVR)

Smart Cameras with onboard Signcryption for Securing IoT Applications

Cameras are expected to become key sensor devices for various internet of things (IoT) applications. Since cameras often capture highly sensitive information, security is a major concern. Our approach towards data security for smart cameras is rooted on protecting the captured images by signcryption based on elliptic curve cryptography (ECC). Signcryption achieves resource-efficiency by performing data signing and encryption in a single step. By running the signcryption on the sensing unit, we can relax some security assumptions for the camera host unit which typically runs a complex software stack. We introduce our system architecture motivated by a typical case study for camera-based IoT applications, evaluate security properties and present performance results of an ARM-based implementatio