A4 Article in conference proceedings
Leveraging the benefits of big data with fast data for effective and efficient cybersecurity analytics systems : A robust optimisation approach (2020)
Rathod, P., & Hämäläinen, T. (2020). Leveraging the benefits of big data with fast data for effective and efficient cybersecurity analytics systems : A robust optimisation approach. In B. K. Payne, & H. Wu (Eds.), ICCWS 2020 : Proceedings of the 15th International Conference on Cyber Warfare and Security (pp. 411-422). Academic Conferences International. The proceedings of the ... international conference on cyber warfare and security. https://doi.org/10.34190/ICCWS.20.034
JYU authors or editors
Publication details
All authors or editors: Rathod, Paresh; Hämäläinen, Timo
Parent publication: ICCWS 2020 : Proceedings of the 15th International Conference on Cyber Warfare and Security
Parent publication editors: Payne, Brian K.; Wu, Hongyi
Conference:
- International Conference on Cyber Warfare and Security
Place and date of conference: Norfolk, United States, 12.-13.3.2020
ISBN: 978-1-912764-52-5
Journal or series: The proceedings of the ... international conference on cyber warfare and security
ISSN: 2048-9870
eISSN: 2048-9889
Publication year: 2020
Pages range: 411-422
Number of pages in the book: 658
Publisher: Academic Conferences International
Place of Publication: Reading
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.34190/ICCWS.20.034
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/69061
Abstract
In recent times, major cybersecurity breaches and cyber fraud within the public and private sectors are making international headlines. Majority of organisations are facing cybersecurity adversity and advanced threats. On the one hand, we have asynchronous cybersecurity practices, many standards and frameworks to consider while on the other hand, we have to deal and secure our organisations against cyber-criminals, organised hacktivists, insider threats, hackers and nation-states with malafide intentions. The Center for Cyber Safety and Education's Global Information Security Workforce Study (GISWS) confirms that globally we are not only loosing but also backpedalling against threats and risks at cyberspace. How do national-protection actors and organisations conduct and practice their cybersecurity to protect against dramatic attack surfaces? Most importantly, how do they allocate limited cybersecurity resources in defence? Most organisations advice to adopt systematic approaches using standards, framework, audits and best practices. However, the current security technologies, policies and processes are lacking robust cybersecurity capabilities and a mechanism to solve advanced cyber threats and risks. In this paper, we are proposing a novel solution to detect and protect against advanced cybersecurity challenges by leveraging the benefits of big data security intelligence with fast data technologies. The paper is presenting a technology-independent reference model utilising a robust optimisation approach for the cybersecurity analytic systems. This study is utilising state-of-the-art and cutting-edge reference model and solution that enables cyber secure internet and digital technologies usage along with underlying data network and information systems in the multiorganisational environment. The underlying solution enables interoperability and flawless message and information exchanges within national protection actors. The study concludes with the proof-of-concept in the cyber secure decentralised multipurpose communications network.
Keywords: cyber security; cyber attacks; big data
Free keywords: advanced cyber threats; cybersecurity; cybersecurity analytic systems; fast data; big data analytics
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2020
JUFO rating: 1