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      <comment>IEEE Control Systems Chapter, Hungary; IEEE Hungary Section; IEEE Joint Chapter of IES and RAS, Hungary; IEEE SMC Chapter, Hungary            
            Conference code: 179566            
            Export Date: 8 September 2022</comment>
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      <abstractText>The number of devices connected to a computer network has increased in recent years. This is also evidenced by the increased number of attacks and viruses by which attackers try to control devices in their favor. By using honeypots in the network infrastructure, we can attract such attackers to a fake system and obtain valuable information from them that we can use to improve network security. This diploma thesis deals with the issue of honeypot configuration in order to obtain information about attackers as well as ensuring system redundancy. We performed the redundancy using the Heartbeat system, which offers us cluster infrastructure services. Honeypot Honeyd was used to interact with low-level attackers on which we configured virtual devices. Honeypot Cowrie served us to interact with mid-level attackers. Subsequently, we verified the functionality of our solution using simulations in a computer network. We compared the amount of information obtained and based on it decided to deploy the Cowrie honeypot to a public IP address. The information was expressed by the behavioral manifestation of ELK Stakc in the extension of Kiban into the graphs and diagrams that we analyzed. © 2022 IEEE.</abstractText>
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          <label>1. Bakker, J., Ng, B., Seah, W.K., Pekar, A., April. Traffic classification with machine learning in a live network (2019) 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), pp. 488-493</label>
          <listPosition>1</listPosition>
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          <mtid>33445785</mtid>
          <link>/api/reference/33445785</link>
          <label>2. Vokorokos, L., Pekár, A., Ádám, N., Darányi, P., Yet another attempt in user authentication (2013) Acta Polytechnica Hungarica, pp. 37-50</label>
          <listPosition>2</listPosition>
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        <reference>
          <otype>Reference</otype>
          <mtid>33445786</mtid>
          <link>/api/reference/33445786</link>
          <label>3. Provos, N., Holz, T., (2007) Virtual Honeypots: From Botnet Tracking to Intrusion Detection, p. 480</label>
          <listPosition>3</listPosition>
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          <mtid>33445787</mtid>
          <link>/api/reference/33445787</link>
          <label>4. Spitzner, L., Honeypots: Catching the insider threat (2003) 19th Annual Computer Security Applications Conference, Proceedings., pp. 170-179. , December</label>
          <listPosition>4</listPosition>
          <published>false</published>
          <snippet>true</snippet>
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        <reference>
          <otype>Reference</otype>
          <mtid>33445788</mtid>
          <link>/api/reference/33445788</link>
          <label>5. Spitzner, L., (2003) Honeypots: Tracking hackers, 1. , Reading: Addison-Wesley</label>
          <listPosition>5</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>33445789</mtid>
          <link>/api/reference/33445789</link>
          <label>6. Schoeman, A., Amber: A zero-interaction honeypot and network enforcer with modular intelligence (2013) 2013 Information Security for South Africa, pp. 1-7. , August</label>
          <listPosition>6</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
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          <otype>Reference</otype>
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          <label>7. Memari, N., Hashim, S.J.B., Samsudin, K.B., Towards virtual honeynet based on LXC virtualization (2014) 2014 IEEE REGION 10 SYMPOSIUM, pp. 496-501. , April</label>
          <listPosition>7</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>33445791</mtid>
          <link>/api/reference/33445791</link>
          <label>8. Wicherski, G., Medium interaction honeypots (2006) German Honeynet Project</label>
          <listPosition>8</listPosition>
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        </reference>
        <reference>
          <otype>Reference</otype>
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          <link>/api/reference/33445792</link>
          <label>9. Vokorokos, L., Ennert, M., Radušovský, J., A survey of parallel intrusion detection on graphical processors (2014) Open Computer Science, pp. 222-230</label>
          <listPosition>9</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
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          <link>/api/reference/33445793</link>
          <label>10. (2019) Cowrie SSH and Telnet Honeypot, , http://www.cowrie.org/</label>
          <listPosition>10</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
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          <link>/api/reference/33445794</link>
          <label>11. Oosterhof, M., (2018) Cowrie honeypot, , https://cowrie.readthedocs.io/en/latest/</label>
          <listPosition>11</listPosition>
          <published>false</published>
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          <link>/api/reference/33445795</link>
          <label>12. Vokorokos, L., Baláž, A., Chovanec, M., Distributed detection system of security intrusions based on partially ordered events and patterns (2009) Towards Intelligent Engineering and Information Technology, pp. 389-403</label>
          <listPosition>12</listPosition>
          <published>false</published>
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&lt;div class=&quot;lastModified&quot;&gt;Last Modified: 2025.09.18. 12:19 Katalin Andódy (BME admin4)
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	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Comments&lt;/u&gt;: IEEE Control Systems Chapter, Hungary; IEEE Hungary Section; IEEE Joint Chapter of IES and RAS, Hungary; IEEE SMC Chapter, Hungary            
            Conference code: 179566            
            Export Date: 8 September 2022&lt;/pre&gt;

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