{"id":2287,"date":"2021-01-18T19:56:58","date_gmt":"2021-01-18T17:56:58","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=2287"},"modified":"2021-02-16T13:13:50","modified_gmt":"2021-02-16T11:13:50","slug":"%d0%bc%d0%b5%d1%82%d0%be%d0%b4-%d0%b2%d0%b8%d1%8f%d0%b2%d0%bb%d0%b5%d0%bd%d0%bd%d1%8f-%d0%ba%d1%96%d0%b1%d0%b5%d1%80%d0%b7%d0%b0%d0%b3%d1%80%d0%be%d0%b7-%d1%82%d0%b0-%d1%88%d0%bf%d0%b7-%d0%b4%d0%bb","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=2287","title":{"rendered":"\u041c\u0435\u0442\u043e\u0434 \u0432\u0438\u044f\u0432\u043b\u0435\u043d\u043d\u044f \u043a\u0456\u0431\u0435\u0440\u0437\u0430\u0433\u0440\u043e\u0437 \u0442\u0430 \u0448\u043f\u0437 \u0434\u043b\u044f \u0437\u0430\u0431\u0435\u0437\u043f\u0435\u0447\u0435\u043d\u043d\u044f \u0436\u0438\u0432\u0443\u0447\u043e\u0441\u0442\u0456 \u043a\u043e\u043c\u043f\u2019\u044e\u0442\u0435\u0440\u043d\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u0432 \u043a\u043e\u0440\u043f\u043e\u0440\u0430\u0442\u0438\u0432\u043d\u0438\u0445 \u043c\u0435\u0440\u0435\u0436\u0430\u0445 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u0441\u0430\u043c\u043e \u0430\u0434\u0430\u043f\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0456"},"content":{"rendered":"

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\n

METHOD FOR CYBER THREATS AND MALWARE DETECTION TO ENSURE THE COMPUTER SYSTEMS RESILIENCE OF IN CORPORATE NETWORKS BASED ON SELF-ADAPTIVITY<\/p>\n

\n

<\/a>
\n\u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 39-43. \u041d\u043e\u043c\u0435\u0440: \u21164, 2020 (287)<\/strong><\/p>\n

\u0410\u0432\u0442\u043e\u0440\u0438:<\/strong>
\n\u0421.\u041c. \u041b\u0418\u0421\u0415\u041d\u041a\u041e, \u0422.\u041c. \u041a\u0418\u0421\u0406\u041b\u042c, \u042e.\u041e. \u041d\u0406\u0427\u0415\u041f\u041e\u0420\u0423\u041a, \u0410.\u0412. \u0413\u041e\u0420\u041e\u0428\u041a\u041e
\n\u0425\u043c\u0435\u043b\u044c\u043d\u0438\u0446\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442<\/p>\n

S. LYSENKO, T. KYSIL, Y. NICHEPORUK, A. GOROSHKO
\nKhmelnytskyi National University<\/p>\n

 
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2020-287-4-39-43<\/a>
\n <\/p>\n

\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review : <\/strong>17.10.2020 \u0440.
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed : <\/strong>04.11.2020 \u0440.<\/p>\n

 <\/p>\n

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\u043a\u0456\u0431\u0435\u0440\u0430\u0442\u0430\u043a \u0434\u043e 99% \u0442\u0430 \u0437\u0434\u0430\u0442\u043d\u043e\u0441\u0442\u0456 \u0437\u0430\u0431\u0435\u0437\u043f\u0435\u0447\u0435\u043d\u043d\u044f \u0436\u0438\u0432\u0443\u0447\u043e\u0441\u0442\u0456 \u041a\u0421 \u0432 \u0441\u0438\u0442\u0443\u0430\u0446\u0456\u0457 \u043a\u0456\u0431\u0435\u0440\u0430\u0442\u0430\u043a \u0437 \u0440\u0456\u0432\u043d\u0435\u043c \u0434\u043e 70%.
\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u0448\u043a\u0456\u0434\u043b\u0438\u0432\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043d\u0435 \u0437\u0430\u0431\u0435\u0437\u043f\u0435\u0447\u0435\u043d\u043d\u044f, \u0436\u0438\u0432\u0443\u0447\u0456\u0441\u0442\u044c, \u043a\u043e\u043c\u043f\u2019\u044e\u0442\u0435\u0440\u043d\u0456 \u0441\u0438\u0441\u0442\u0435\u043c\u0438, \u0434\u043e\u0441\u0442\u043e\u0432\u0456\u0440\u043d\u0456\u0441\u0442\u044c \u0432\u0438\u044f\u0432\u043b\u0435\u043d\u043d\u044f, \u043a\u0456\u0431\u0435\u0440\u0430\u0442\u0430\u043a\u0430, \u043c\u0435\u0440\u0435\u0436\u043d\u0438\u0439 \u0442\u0440\u0430\u0444\u0456\u043a.<\/p>\n

 <\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

\u00a0 \u00a0 \u00a0The paper presents a method for cyber threats and malware detection to ensure the computer systems resilience of in corporate networks based on self-adaptivity. The resilience is ensured by the adaptive reconfiguration of the network. Answer the question how the network has to be reconfigured is received by the means of the cluster analysis of the cyberattacks\u2019 features, which are observed in the network and network hosts. In order to choose the needed security scenarios, the proposed method uses SVM approach. The objects of classification are the feature vectors, which contain the set of the demonstrations, which may indicate the appearance of cyber threats on the in corporate networks. The purpose of the technique is to choose the network and network hosts\u2019 reconfiguration scenarios according to the cyber-attacks, performed by the botnets. The learning stage of the method consists of the following steps: a knowledge formation about the features that may indicate the cyberattacks performed by the botnet; presentation the knowledge about the cyberattacks as the set of feature vectors; a labeled data creation of the feature vectors of the cyberattacks based on knowledge. The monitoring stage of the method consists of the following steps: gathering of the inbound and outbound network traffic; gathering of the information about the hosts\u2019 network activity and reports of the hosts\u2019 antiviruses; construction of the feature vector, based on the information obtained from the network and hosts; implementation of\u00a0 the semi-supervised fuzzy c-means clustering for the choice of the security scenarios; implementation of the security scenarios for the corporate area network\u2019s infrastructure. Usage of the developed system makes it possible to detect known and unknown multi vector cyberattacks performed by the botnets. Experimental results demonstrated that the implemented principals of proposed technique into show the ability to ensure the resilient network functioning in the situation of the cyberattacks by botnets at the rate at about 70%.
\nKeywords:<\/strong> malware, computer systems, resilience, detection efficiency, network traffic, cyberattack.<\/p>\n

 <\/p>\n

References<\/strong><\/p>\n

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  20. Canadian Institute for Cybersecurity. Botnet dataset. URL: https:\/\/www.unb.ca\/cic\/datasets\/botnet.html (date of access: 10.07.2020).<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[23],"tags":[],"_links":{"self":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/2287"}],"collection":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2287"}],"version-history":[{"count":3,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/2287\/revisions"}],"predecessor-version":[{"id":3748,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/2287\/revisions\/3748"}],"wp:attachment":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2287"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2287"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}