<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dafina Zoteva</style></author><author><style face="normal" font="default" size="100%">Peter Vassilev</style></author><author><style face="normal" font="default" size="100%">Lyudmila Todorova</style></author><author><style face="normal" font="default" size="100%">Krassimir Atanassov</style></author><author><style face="normal" font="default" size="100%">Lyubka Doukovska</style></author><author><style face="normal" font="default" size="100%">Valery Tzanov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Generalized Net Model of Cyber-control of the Firm’s Dumpers and Crushers</style></title><secondary-title><style face="normal" font="default" size="100%">DIGILIENCE 2019</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">generalized net</style></keyword><keyword><style  face="normal" font="default" size="100%">model</style></keyword><keyword><style  face="normal" font="default" size="100%">security</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2-4 October</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Sofia, Bulgaria</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The paper presents generalized net model of a system for tracking and monitoring the movement and actions of a rm&amp;#39;s dumpers and crushers. The model permits analysis regarding possible cyber manipulation of data, and highlights the key vulnerabilities of such systems.&lt;/p&gt;&lt;p&gt;This paper is included in the program of &lt;a href=&quot;https://digilience.org&quot;&gt;DIGILIENCE 2019&lt;/a&gt; and will be published in the post-conference volume.&lt;/p&gt;</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%">Dimitar Kamenov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Intelligent Methods for Big Data Analytics and Cyber Security</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%">big data</style></keyword><keyword><style  face="normal" font="default" size="100%">classification</style></keyword><keyword><style  face="normal" font="default" size="100%">clustering</style></keyword><keyword><style  face="normal" font="default" size="100%">cyber security</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">filtering</style></keyword><keyword><style  face="normal" font="default" size="100%">human factor</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">network graphs</style></keyword><keyword><style  face="normal" font="default" size="100%">outlier detection</style></keyword><keyword><style  face="normal" font="default" size="100%">semantic analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">spatial data mapping</style></keyword><keyword><style  face="normal" font="default" size="100%">statistical analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">39</style></volume><pages><style face="normal" font="default" size="100%">255-262</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The article examines some intelligent computational methods for big data analysis which are applicable to issues of cyber security and military science, including the analysis of hybrid threats. It presents and compares big data analysis techniques such as quantitative analysis, qualitative analysis, data mining, statistical analysis, machine learning, semantic analysis, and visual analysis. The importance and prospects of intelligent methods for big data analysis are emphasized.
</style></abstract><issue><style face="normal" font="default" size="100%">3</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%">Peter Gill</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Should the Intelligence Agencies ‘Show More Leg’ or Have They Just Been Stripped Naked?</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%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">human rights</style></keyword><keyword><style  face="normal" font="default" size="100%">intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">oversight</style></keyword><keyword><style  face="normal" font="default" size="100%">privacy</style></keyword><keyword><style  face="normal" font="default" size="100%">profiling</style></keyword><keyword><style  face="normal" font="default" size="100%">surveillance</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">November 2013</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">30</style></volume><pages><style face="normal" font="default" size="100%">11-28</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Newspapers started publishing US National Security Agency (NSA) files in June 2013, as a result of Edward Snowden’s declaration that he wanted to start a debate on the current drive for ‘total surveillance.’ Official comments in the UK have been tight-lipped and have barely got beyond the refrain that everything NSA’s sister agency, UK Government Communications Headquarters (GCHQ) does is legal and requires no further discussion. This article considers the major issues that have been raised concerning privacy, surveillance and the adequacy or otherwise of political control and oversight over intelligence agencies, particularly in the UK</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><section><style face="normal" font="default" size="100%">11</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%">ISIJ Monitor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Total Information Awareness  (DARPA’s Research Program)</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%">automatic translation</style></keyword><keyword><style  face="normal" font="default" size="100%">biometric identification</style></keyword><keyword><style  face="normal" font="default" size="100%">collaborative decision-making</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">early warning</style></keyword><keyword><style  face="normal" font="default" size="100%">homeland security</style></keyword><keyword><style  face="normal" font="default" size="100%">preemption</style></keyword><keyword><style  face="normal" font="default" size="100%">speech recognition</style></keyword><keyword><style  face="normal" font="default" size="100%">structured argumentation</style></keyword><keyword><style  face="normal" font="default" size="100%">terrorist threat</style></keyword><keyword><style  face="normal" font="default" size="100%">ultra-large database</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">105-109</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 most serious asymmetric threat facing the United States is terrorism, a threat characterized by collections of people loosely organized in shadowy networks that are difficult to identify and define. In response, the Defense Advanced Research Projects Agency (DARPA) created the Information Awareness Office (IAO). IAO plans to develop technology that will allow understanding of the intent of these networks, their plans, and potentially define opportunities for disrupting or eliminating the threats. To effectively and efficiently carry this out, sharing, collaborating and reasoning shall be promoted to convert nebulous data to knowledge and actionable options. The &amp;lsquo;Total Information Awareness&amp;rsquo; is the main program of IAO aimed to &amp;ldquo;revolutionize the ability of the United States to detect, classify and identify foreign terrorists &amp;ndash; and decipher their plans &amp;ndash; and thereby enable the U.S. to take timely action to successfully preempt and defeat terrorist acts.&amp;rdquo; The program objective is to create a counter-terrorism information system that increases information coverage, provides focused warnings, automatically queue analysts based on partial pattern matches, supports collaboration, analytical reasoning and information sharing so that analysts can hypothesize, test and propose theories, and mitigating strategies about possible futures, so decision-makers can effectively evaluate the impact of current or future policies and prospective courses of action.&lt;/p&gt;</style></abstract></record></records></xml>