INDECT Project Research Articles

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.

Mobile context-based framework for threat monitoring in urban environment with social threat monitor

Engaging users in threat reporting is important in order to improve threat monitoring in urban environments. Today, mobile applications are mostly used to provide basic reporting interfaces. With a rapid evolution of mobile devices, the idea of context awareness has gained a remarkable popularity in recent years. Modern smartphones and tablets are equipped with a variety of sensors including accelerometers, gyroscopes, pressure gauges, light and GPS sensors. Additionally, the devices become computationally powerful which allows for real-time processing of data gathered by their sensors. Universal access to the Internet via WiFi hot-spots and GSM network makes mobile devices perfect platforms for ubiquitous computing. Although there exist numerous frameworks for context-aware systems, they are usually dedicated to static, centralized, client-server architectures. There is still space for research in the field of context modeling and reasoning for mobile devices. In this paper, we propose a lightweight context-aware framework for mobile devices that uses data gathered by mobile device sensors and performs on-line reasoning about possible threats based on the information provided by the Social Threat Monitor system developed in the INDECT project.

The Data Extraction Using Distributed Crawler Inside Multi-Agent System

The paper discusses the use of web crawler technology. We created an application based on standard web crawler. Our application is determined for data extraction. Primarily, the application was designed to extract data using keywords from a social network Twitter. First, we created a standard crawler, which went through a predefined list of URLs and gradually download page content of each of the URLs. Page content was then parsed and important text and metadata were stored in a database. Recently, the application was modified in to the form of the multi-agent system. The system was developed in the C# language, which is used to create web applications and sites etc. Obtained data was evaluated graphically. The system was created within Indect project at the VSB-Technical University of Ostrava.

Integrated security infrastructures for law enforcement agencies

This paper provides an overview of the security architecture for Law Enforcement Agencies (LEAs) designed by the INDECT project, and in particular the security infrastructures that have been deployed so far. These security infrastructures can be organized in the following main areas: Public Key Infrastructure (PKI) and user management, communications security, and new cryptographic algorithms. This paper presents the new ideas, architectures and deployed testbeds for these areas. In particular, it explains the inner structure of the INDECT PKI employed for federated identity management, the different technologies employed in the VPN testbed, the INDECT Block Cipher (IBC) --- a novel cryptographic algorithm that has being integrated into OpenSSL library, and how IBC-enabled TLS/SSL sessions and X.509 certificates are employed to protect INDECT applications. All proposed mechanisms have been designed to work in an integrated fashion as the security foundation of all systems being developed by the INDECT project for LEAs.