Abstract
The areas where artificial intelligence (AI) is employed are gradually increasing. The latest malicious codes are continually being found in the security control area and the security teams in various organizations are investigating an average of 200,000 security incidents a day and often wasting much of their time in tracking wrong targets or attacking methods. It is expected that the security-related incidents will be increased more than twice in near future. Thus, the security control staff will be able to prevent security breaches only by rapidly analyzing the latest vulnerabilities and logs in their systems or security equipment. In this study, we have studied the possibility of utilizing current AIs used for diagnosis of cancers, translations or simple conversations, along with the future direction of AI for security control. The study also attempts to find an effective method of reducing damages by rapidly analyzing attack methods and vulnerabilities, hoping the method will be effective in protecting the systems from a new variety of attacks.
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References
ITU-T Q.4/17 Proposed initial draft text for Rec. ITU-T X. cybex, Cybersecurity information exchange framework (TD503)
Chen, P., Desmet, L., Huygens, C.: A study on advanced persistent threats. Communications and Multimedia Security, pp. 63–72 (2014)
Jang, J., Moon, J.S.: A real-time user authenticating method using behavior pattern through web. J. Korea Inst. Secur. Cryptol. 26(6), 1493–1504 (2016)
Choi, J.: A study on a scenarios development guideline for detecting security threats. Korea National Open University (2015)
Ghafir, I., Prenosil, V.: Advanced Persistent Threat Attack Detection. muni.cz, p. 2 (2014)
Zope, A.R., Vidhate, A., Harale, N.: Data mining approach in security information and event management. Int. J. Future Comput. Commun. 2(2), 80–84 (2013)
Kim, Y.-J., Lee, S., Kwon, H.-Y., Lim, J.: A study on the improvement of effectiveness in national cyber security monitoring and control services. Korea Institute of Information Security and Cryptology, pp. 2–3 (2009)
IBM x-force threat intelligence quarterly, 1Q, p. 7 (2015)
NIST FIPS PUB 800-92, Guide to Computer Security Log Management (2006)
Huh, J.-H., Otgonchimeg, S., Seo, K.: Advanced metering infrastructure design and test bed experiment using intelligent agents: focusing on the PLC network base technology for smart grid system. J. Supercomput. 72(5), 1862–1877 (2016). Springer, USA
Huh, J.-H., Koh, T., Seo, K.: A design of reefer container monitoring system using PLC-based technology. In: Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation, vol. 377, pp. 795–802. Springer, Heidelberg (2016)
Huh, J.-H., Seo, K.: A preliminary analysis model of big data for prevention of bioaccumulation of heavy metal-based pollutants: focusing on the atmospheric data analyses for smart farm. Contemp. Eng. Sc. 9(30), 1447–1462 (2016). Hikari Ltd.
Bu, Y., Seo, K., Huh, J.-H.: A study of enhancement of ranging performance of beacons through improvement of the smart phone’s gyroscope: focusing on the Bluetooth low energy. In: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication. ACM (2017)
Huh, J.-H., Seo, K.: Design and test bed experiments of server operation system using virtualization technology. Hum.-centric Comput. Inf. Sci. HCIS 6(1), 1–21 (2016). Springer
Huh, M.K., Huh, H.W.: Genetic diversity and phylogenetic relationships in alder, Alnus firma, revealed by AFLP. J. Plant Biol. 44(1), 33–40 (2001). Springer, New York
Huh, J.-H., Kim, N., Seo, K.: Design and implementation of mobile medication-hour notification system with push service function. Int. J. Appl. Eng. Res 11(2), 1225–1231 (2016)
Huh, J.-H.: PLC-based design of monitoring system for ICT-integrated vertical fish farm. Hum.-centric Comput. Inf. Sci. 7(1), 1–19 (2017). Springer
Huh, J.-H.: Smart Grid Test Bed Using OPNET and Power Line Communication, pp. 66–120. IGI Global, Hershey (2017)
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Lee, S., Shin, Y. (2018). The Direction of Information Security Control Analysis Using Artificial Intelligence. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_138
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DOI: https://doi.org/10.1007/978-981-10-7605-3_138
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