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, Paresh; Hämäläinen, Timo (2020). Leveraging the benefits of big data with fast data for effective and efficient cybersecurity analytics systems : A robust optimisation approach. In Payne, Brian K.; Wu, Hongyi (Eds.) ICCWS 2020 : Proceedings of the 15th International Conference on Cyber Warfare and Security, The proceedings of the ... international conference on cyber warfare and security. Reading: Academic Conferences International, 411-422. DOI: 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: http://doi.org/10.34190/ICCWS.20.034

Open Access: Publication channel is not openly available

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

Preliminary JUFO rating: 1


Last updated on 2020-28-10 at 08:54