Evaluación del rendimiento de la arquitectura de seguridad INDECT

This paper evaluates the performance of the key elements of the security architecture developed by the INDECT project. In particular it first evaluates three different concurrent error detection mechanism (parity check, Berger code, and cyclic redundancy check) developed in software- and hardware-based implementations of the INDECT block cipher. It also analyses the performance hit in secure web servers when enabling TLS/SSL with mutual authentication. Finally, it evaluates the throughput and delay of traffic in the virtual private network based on the OpenVPN software package with the implemented INDECT block cipher. The results of these evaluations demonstrate that the proposed mechanisms, and by extension the whole INDECT security architecture, are viable and can be used in high-performance Police information and communication systems.Este artículo evalúa el rendimiento de los principales elementos de la arquitectura de seguridad desarrollada por el proyecto INDECT. En particular, en primer lugar evalúa tres mecanismos diferentes de detección concurrente de errores (comprobación de paridad, códigos Berger y verificación por redundancia cíclica) desarrollados en las implementaciones software y hardware del algoritmo de cifrado de bloque INDECT. También se analiza el impacto en el rendimiento de los servidores web seguros cuando se activa TLS/SSL con autenticación mutua. Por último, evalúa el rendimiento y el retardo del tráfico en una red privada virtual, basada en el software OpenVPN con el algoritmo de cifrado INDECT. Los resultados de estas evaluaciones demuestran que los mecanismos propuestos, y el algoritmo de cifrado INDECT, son viables y pueden usarse en sistemas de información y comunicaciones de alto rendimiento para la Policía

Security architecture for law enforcement agencies

In order to carry out their duty to serve and protect, law enforcement agencies (LEAs) must deploy new tools and applications to keep up with the pace of evolving technologies. However, police information and communication technology (ICT) systems have stringent security requirements that may delay the deployment of these new applications, since necessary security measures must be implemented first. This paper presents an integrated security architecture for LEAs that is able to provide common security services to novel and legacy ICT applications, while fulfilling the high security requirements of police forces. By reusing the security services provided by this architecture, new systems do not have to implement custom security mechanisms themselves, and can be easily integrated into existing police ICT infrastructures. The proposed LEA security architecture features state-of-the-art technologies, such as encrypted communications at network and application levels, or multifactor authentication based on certificates stored in smart cards.Web of Science7517107321070

Single camera depth control in micro class ROV

Navigation is one of the main challenges in an underwater vehicle. To measure and sustain the depth in the micro class remotely operated vehicle (ROV) robot is one of the main demands in the underwater robot competition. There are many sensors that can be used to measure the depth; one of the sensors is using a single camera sensor. In this works, camera-based depth control is developed and evaluated for micro class ROV, namely as fitoplankton SAS ROV. Fitoplankton SAS ROV is a micro ROV prototype with six thrusters. To maintain the depth position, a PID control system with a camera-based depth sensor as the input of the setpoint is used. Moreover, the method for the camera to measure the distance is using the triangle similarity method. In this paper, the experimental scenario is using the rectangular marker to measure the distance, and the value of the depth is processing in the ground control station (GCS). The GCS will send the thruster value to control the depth, which depends on the PID control system. The experiment results show an average of depth accuracy of 95.74% to the depth setpoint

Dual shots detection

The identification of a special kind of acoustic events such as dual gunshots and single gunshots in the traffic background is described in this work. The recognition of dangerous sounds may help to prevent the abnormal or criminal activities that happened near to the public transport stations. Therefore in this paper the methodology of dual shots detection in a noisy background was developed and evaluated. For this purpose, we investigated various feature extraction methods and combinations of different feature sets. These approaches were evaluated by the widely used classification technique based on the Hidden Markov Models