<?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%">Grigor Grigorov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Role of Information Campaigns and Advertising in the Military Recruitment System</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%">advertisement</style></keyword><keyword><style  face="normal" font="default" size="100%">human resources management</style></keyword><keyword><style  face="normal" font="default" size="100%">information campaign</style></keyword><keyword><style  face="normal" font="default" size="100%">military</style></keyword><keyword><style  face="normal" font="default" size="100%">recruitment</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><volume><style face="normal" font="default" size="100%">50</style></volume><pages><style face="normal" font="default" size="100%">117-126 </style></pages><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;margin-left:19.85pt;&quot;&gt;The article considers information campaigns and advertising as an element of the system for attracting service members to the armed forces. The role of information and the ways of its presentation are analysed, and their advantages and disadvantages in the current information system are identified. Based on the identified problems, a proposal is made to optimise the current system for providing information in order to improve the awareness of potential candidates for military service and promote the military profession. The results of the theoretical analysis can be used to improve the current model for attracting service members in terms of presenting information and advertising.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></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%">Diego F. M. Oliveira</style></author><author><style face="normal" font="default" size="100%">Kevin S. Chan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Diffusion of Information in an Online Social Network with Limited Attention</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%">competition</style></keyword><keyword><style  face="normal" font="default" size="100%">influence</style></keyword><keyword><style  face="normal" font="default" size="100%">information load</style></keyword><keyword><style  face="normal" font="default" size="100%">limited at-tention</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><volume><style face="normal" font="default" size="100%">43</style></volume><pages><style face="normal" font="default" size="100%">362-374</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This article investigates the competition for limited attention in a social network with innovation. We consider the case where each piece of information has a fitness as proxy of its quality. The higher is the quality, the higher are the chances of being transmitted. We measure the relationship between the quality of an idea and its likelihood of becoming prevalent at the system level. We find that both information overload and limited attention contribute to a degradation of the system discriminative power. When trust is incorporated into the model and the agents can decide whether or not to accept a meme, we show that both lifetime and popularity distributions have broad power-law tails indicating that only a few memes spread virally through the population reproducing perfectly the broad distributions obtained from empirical data.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">362</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%">Todor Tagarev</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">DIGILIENCE - A Platform for Digital Transformation,  Cyber Security and Resilience</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%">artificial intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">cooperation</style></keyword><keyword><style  face="normal" font="default" size="100%">cyber resilience</style></keyword><keyword><style  face="normal" font="default" size="100%">Cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">DIGILIENCE</style></keyword><keyword><style  face="normal" font="default" size="100%">digital transformation</style></keyword><keyword><style  face="normal" font="default" size="100%">emerging technologies</style></keyword><keyword><style  face="normal" font="default" size="100%">human factors</style></keyword><keyword><style  face="normal" font="default" size="100%">hybrid influence</style></keyword><keyword><style  face="normal" font="default" size="100%">industry 4.0</style></keyword><keyword><style  face="normal" font="default" size="100%">information sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">intuitionist fuzzy logic</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><volume><style face="normal" font="default" size="100%">43</style></volume><pages><style face="normal" font="default" size="100%">7-10</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The ongoing digital transformation requires significant investments and innovation to provide security of cyberspace and variety of critical infrastructures and essential services that increasingly depend on the digital infrastructure, as well as to enhance the resilience of organizations, communities, industries, nations, and alliances in the face of malicious use of cyberspace.&lt;/p&gt;&lt;p&gt;This volume presents 28 of the papers, accepted for presentation at the DIGILIENCE 2019 conference, dealing with cyber information sharing and situational awareness, the benefits and challenges of emerging technologies, such as artificial intelligence, the human factor, education and training for cyber security and resilience, the need to incorporate the cybersecurity efforts into the search for effective and efficient exploitation of information technologies, policies and solutions for security and resilience of Industry 4.0 and critical infrastructures, analysing and countering hybrid influence through social networks and more traditional media. The DIGILIENCE series of conferences will promote the sharing of knowledge and experience and facilitate the spread of good practice in IT governance, cyber security and resilience.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></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%">Maksym Shchoholiev</style></author><author><style face="normal" font="default" size="100%">Violeta Tretynyk</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The System of Operative Determination of the Level of Tension in Society Based on Data from Social Networks</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%">context</style></keyword><keyword><style  face="normal" font="default" size="100%">data aggregation</style></keyword><keyword><style  face="normal" font="default" size="100%">hybrid war</style></keyword><keyword><style  face="normal" font="default" size="100%">keyword</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword><keyword><style  face="normal" font="default" size="100%">social tension</style></keyword><keyword><style  face="normal" font="default" size="100%">TF-IDF</style></keyword><keyword><style  face="normal" font="default" size="100%">word2vec representation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><volume><style face="normal" font="default" size="100%">43</style></volume><pages><style face="normal" font="default" size="100%">375-382</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The system presented in this article was developed for state structures with responsibilities for ensuring security and stability in the society. The main task of the system is to determine the impact of information stored on various Internet resources on society. It serves to assess the level of tension on the basis of comments of social networks’ users on certain news and posts. The system takes into account the number of news’ reposts and the average emotionality of comments on this news. The methods TF-IDF and word2vec are used for keyword determination from the text and their transformation into numerical values. The level of emotionality is defined by an artificial neural network. To get the resulting estimate, a data aggregation block is developed and used to reduce various independent quantitative and qualitative characteristics into one value.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">375</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%">Zlatogor Minchev</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Challenges to Human Factor for Advance Persistent Threats Proactive Identification in Modern Social Networks</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%">advanced persistent threats</style></keyword><keyword><style  face="normal" font="default" size="100%">cyber space</style></keyword><keyword><style  face="normal" font="default" size="100%">human factor</style></keyword><keyword><style  face="normal" font="default" size="100%">proactive identification</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><volume><style face="normal" font="default" size="100%">34</style></volume><pages><style face="normal" font="default" size="100%">123-136</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The paper looks into the issue of proactive advanced persistent threats (APTs) identification in modern social networks. As these threats are quite unnoticeable and require a long-term, comprehensive monitoring of both technologies and users, a hybrid methodological framework is proposed. A combination of: experts&amp;rsquo; knowledge and beliefs, system analysis and real environment interactive validation is presented to meet practical APT challenges. The obtained results provide an explanatory foundation for a better understanding the interaction process of the human factor with future technological developments and resulting threats advances in the evolving cyber space.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><section><style face="normal" font="default" size="100%">123</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zlatogor Minchev</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Cyber Threats in Social Networks and Users’ Response Dynamics</style></title><secondary-title><style face="normal" font="default" size="100%">IT4Sec Reports</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cyber threats</style></keyword><keyword><style  face="normal" font="default" size="100%">dynamics</style></keyword><keyword><style  face="normal" font="default" size="100%">IT4Sec reports</style></keyword><keyword><style  face="normal" font="default" size="100%">scenario method</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword><keyword><style  face="normal" font="default" size="100%">users response</style></keyword><keyword><style  face="normal" font="default" size="100%">Web 2.0</style></keyword><keyword><style  face="normal" font="default" size="100%">Web 3.0</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December 2012</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">105</style></number><publisher><style face="normal" font="default" size="100%">Institute of Information and Communication Technologies</style></publisher><pub-location><style face="normal" font="default" size="100%">Sofia</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The report presents first results in a study on the opportunity to identify cyber threats in social networks with the help of experts’ knowledge and application of the scenario method. The process of validation is performed by two focus groups questionnaires-based surveys combined with experiments involving psycho-physiological monitoring. Study results conform with the hypothesis for users’ predisposition to hidden threats in known social network environment, related to social engineering. Additionally, correlated dynamic changes regarding studied users’ brain activity during regular surfing and entertainment activities have been also observed. The study provides a promising methodological framework for identification of obvious and hidden cyber threats in modern social networks, facilitated by already popular Web 2.0 technologies and emerging Web 3.0 solutions.</style></abstract></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%">Velichka Milina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Security in a Communications Society: Opportunities and Challenges</style></title><secondary-title><style face="normal" font="default" size="100%">Connections: The Quarterly Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Arab Spring</style></keyword><keyword><style  face="normal" font="default" size="100%">civil society; policy</style></keyword><keyword><style  face="normal" font="default" size="100%">Communications</style></keyword><keyword><style  face="normal" font="default" size="100%">democracy</style></keyword><keyword><style  face="normal" font="default" size="100%">Egypt</style></keyword><keyword><style  face="normal" font="default" size="100%">public diplomacy</style></keyword><keyword><style  face="normal" font="default" size="100%">revolution</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword><keyword><style  face="normal" font="default" size="100%">Web 2.0</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Spring 2012</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">53-66</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">2</style></issue></record></records></xml>