Now-a-days, sensitive and confidential information needs to be exchanged over open, public, and not secure networks such as the Internet. For this purpose, some information security techniques combine cryptographic and steganographic algorithms and image processing techniques to exchange information securely. Therefore, this research presents the implementation of an algorithm that combines the AES-CBC cryptographic technique with the LSB steganographic technique, which is statistically enhanced by image processing by looking for low-contrast areas where the encrypted information will be stored. This hybrid algorithm was developed to send a plaintext file hidden in an image in BMP format, so the changes in the image are invisible to the human eye and undetectable in possible steganographic analysis. The implementation was performed using Python and its libraries PyCryptodome for encryption and CV2 for image processing. As a result, it was found that the hybrid algorithm implemented has three layers of security over a plaintext encrypted and hidden in a digital image, which makes it difficult to break the secrecy of the information exchanged in a stego-image file. Additionally, the execution times of the hybrid algorithm were evaluated for different sizes of plaintext and digital image files.

Currently, fixed-wing drones have become indispensable tools for the surveillance of large areas of land, justified by their better cost/benefit ratio, great flight autonomy, and payload capacity. In particular, the identification of roads, traffic control, monitoring of wear on asphalt layers, risk identification, and safety improvement are applications that are being implemented in these unmanned aerial vehicles. Tracking a road requires systems capable of detecting artificial marks through images employing aerial photographs that allow the implementation of optimal overflight routes. This research work presents a solution to the problem of road tracking from aerial photographs and implements an image processing algorithm and morphological techniques that calculate and traces the ideal route for the drone to track automatically, regardless of its orientation and the type of road.

In this modern world where the proliferation of electronic devices associated with the Internet of Things (IoT) grows day by day, security is an imperative issue. The criticality of the information linked to the various electronic devices connected to the Internet forces developers to establish protection mechanisms against possible cyber-attacks. When using computer equipment or servers, security mechanisms can be applied without having problems with the number of resources associated with this activity; the opposite is the case when implementing such mechanisms on embedded systems. The objective of this document is to implement password hashing on a FRDM-K82F development board with ARM® Cortex™-M4 processor. It describes the basic criteria necessary to aim at moderate levels of security in specific purpose applications; that can be developed taking advantage of the hardware cryptographic acceleration units that these embedded systems have. Performance analysis of the implemented hash function is also presented, considering the variation in the number of iterations performed by the development board. The validation of the correct functioning of the hashing scheme using the SHA-256 algorithm is carried out by comparing the results obtained in real-time versus an application developed in Python software using the PyCryptodome library.

This paper shows the design of a temperature control for a water heater using a digital controller on an FPGA with SPI communications protocol, which makes use of a thermo-resistance with alternating current (110v-60Hz) to heat water from the room temperature to its boiling point. The Dimmer that has a Triac BTA16-600B works with control values between 3.3-5 Volts with a charge value for up to 220 Volts AC and peak currents of 5 Amps, the temperature sensor is a K-type thermocouple coupled to a Cold junction Max 6675K compensator. Keyword-FPGA, Digital Control, Temperature control, Measuring and instrumentation. I. INTRODUCTION Currently the work of electronic instrumentation has changed radically, since the integration of signal conditioning circuits [1], make it not only required to perform the digital readings by a communication bus [2], but also to design robust systems that allow centralizing information through a field bus between different programmable digital devices and thus have control of all system variables. [3-4] At present, there is a strong tendency to use programmable logic devices type FPGA to perform the calculations of various digital controllers [5], since they can perform the necessary calculations concurrently; what makes them ideal in applications that require a high response speed [6], dynamic shift of the sampling period [7], in addition to performing tasks of communication and visualization of the system variables in a parallel way in a graphical interface [8]. The systems of data acquisition and temperature variable control are widely used in various industrial and productive applications, ranging from a simple temperature control of a tank, machines for precision metal welding [9], chemical plants [10], until the temperature control of one of the modules of a spaceship [3]. In general terms, you can find a large number of applications that carry out processing tasks with fairly short sampling and capture times [11], making corrections to drift errors, errors due to Gaussian noise, delays due to acquisition time, correction by cold juncture, etcetera. [12]; procedures that were performed with analog circuits, but nowadays are performed with sensors packed in the same silicon module that performs the work of conditioning and transmission of information. In addition to the process of signal acquisition and controller calculation, linearization and signal filtering tasks are required [13-14], along with the possibility of performing control systems such as PID, Fuzzy Logic [15] or another digital technique that fits the needs of the system, even could be used auto-tuning techniques applicable in an FPGA-type device to some of the aforementioned control techniques.