<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alberto Tremori</style></author><author><style face="normal" font="default" size="100%">Sasha B. Godfrey</style></author><author><style face="normal" font="default" size="100%">Luca Berretta</style></author><author><style face="normal" font="default" size="100%">Arnau Carrera Viñas</style></author><author><style face="normal" font="default" size="100%">Pavlina Nikolova</style></author><author><style face="normal" font="default" size="100%">Iliyan Hutov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Simulation-Based Training with Gamified Components for Augmented Border Protection</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">High Level Architecture</style></keyword><keyword><style  face="normal" font="default" size="100%">interoperable simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">Modelling and Simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">serious games  and gamification</style></keyword><keyword><style  face="normal" font="default" size="100%">training</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><volume><style face="normal" font="default" size="100%">53</style></volume><pages><style face="normal" font="default" size="100%">255-272</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">ARESIBO, an EU H2020 funded project, aims to improve the efficiency of border surveillance systems by providing the operational teams and the tactical command and control levels with accurate and comprehensive information by means of augmented reality (AR). This article describes the training system, with gamified modules, that was designed and developed within the project to deliver training on the AR applications developed to operators in border security missions. The ARESIBO Training System is fed by a set of interoperable, distributed simulators (Simulation Engine) comprised of detailed landscapes, realistic assets, and end-user vetted border control scenarios. By generating virtual incidents and situations, the Training System creates realistic operational conditions in which to train and employ the ARESIBO AR devices. It also includes the front-end tools and interfaces for the trainer to setup and execute the training sessions, such as the Trainer Editor GUI. Additional gamified modules were developed to investigate the effectiveness of serious gaming for training; these modules work both on- and off-line and independently of each other to maximize the autonomy of the trainer. This work concludes with a description of the training scenario and training events.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><section><style face="normal" font="default" size="100%">255</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alexander Kolev</style></author><author><style face="normal" font="default" size="100%">Pavlina Nikolova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Instrumental Equipment for Cyberattack Prevention</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cyber attack prevention</style></keyword><keyword><style  face="normal" font="default" size="100%">honeypot</style></keyword><keyword><style  face="normal" font="default" size="100%">Internet of Things</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">47</style></volume><pages><style face="normal" font="default" size="100%">285-299</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In the paper, the authors discuss some computer security mechanisms and their hardware realization. An overview of well-known cyber-security software solutions has been made. Data on the hardware platforms on which they are intended to be used are given. The authors explore the possibility systems terminologically known as honeypot to be hardware-based on cheap microdevices. The technological and information possibilities for the development of a honeypot network using a modern micro-controller based device are analyzed. The authors focus on the key features of selected devices and describing in detail the conditions by the experiment. Important results for the overall result of the experiment are presented in graphical and tabular form. Conclusions are made about the applicability of micro-controller devices for cyber-security purposes with the application of wireless connectivity and the provision of data about malicious actions over the Internet of Things systems.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">285</style></section></record></records></xml>