Table of Contents
In recent years, new technologies have become the focal point of any operation or digital system. Smartphones are increasingly gaining ground as a technological tool that combines a large number of applications and online services. It is an observable reality, as operations are increasingly being carried out in electronic commerce applications, banking transactions, health applications, and distance education. However, the widespread use of these types of practices means that more risks can present themselves through the internet. Therefore, any organization must take into account changes in virtual security, having to face possible cyber attacks or identity theft. Although smartphones have become a powerful tool in daily lives of most people, it is true that it has brought a series of challenges in the security and privacy of users, where facial authentication seems to be a possible solution to this type of problems. This article reviews the most relevant current existing literature about facial authentication as a biometric system, as well as the systems available on the market, so that organizations can use them with its clients or users.
Steganography is the science of data concealment, but it can be used by malicious people to use it for destructive purposes. For this reason, the presence of methods detecting Steganography becomes a necessity.
The science of detecting Steganography is called steganalysis and evolves with new steganographic techniques.
The purpose of this paper is to present a model for detecting the content of JPEG images that have been steganographed.
Our work involves applying Multi-Agent Systems (MAS) in image steganalysis where we use ADMs to reduce the complexity of solving a problem by dividing the necessary knowledge into subsets, combining an independent intelligent agent to each of these subsets and coordinating the activity of these agents.
We opted for the Java Agent Development Framework (JADE) platform for the development and realization of the inter-operable Multi-Agent SystemAn image in one color is a scalar field. The image is associated with its vector gradient field. The analysis of vector fields with the help of single-length vector templates made it possible to indicate in the image such objects as vortices, Road Signs (RS), Facial Features (FF), and so on. The proposed method of indicating local objects using gradient fields turned out to be highly accurate and noise-proof. The presented advantages of the proposed method recommend it as a promising tool in targets designation problems.