Security of data collected in Big Data database systems is currently a priority issue for the development of this technology of gathering and advanced information processing. Taking into account the dynamic development of Big Data database systems as well as building and developing these systems by various business entities, the importance of information security issues gathered in Big Data database systems is growing. In addition, the analysis of the risk of cybercriminal attacks on Big Data database systems is growing, and therefore information security management systems collected in Big Data database systems should be built and permanently improved. Every business entity that has built its Big Data database system should also have its own information security management system stored in Big Data database systems.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Are there currently developed and developed systems for information security risk management gathered in Big Data database systems?
Please reply
I invite you to the discussion
Thank you very much
Dear Colleagues and Friends from RG
The key aspects and determinants of applications of data processing technologies in Big Data database systems are described in the following publications:
Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...
Article The Big Data technologies as an important factor of electron...
Article The Technological Solutions Big Data and the Importance of B...
I invite you to discussion and cooperation.
Best wishes
yes... The Term Big Data Analytics for Security intelligence refers to a process of analyzing and mining large amounts of data (petabytes, exabytes, zettabytes) from different sources including IP address, Emails, log files, information get from other attack investigation and many more. Many of the organization use big data analytics for security intelligence to indentified anomalies, threat, verify alerts and security events to neutralize cyber attack. The scope of big data security is limited not only to the current data set but also historical data to identified threats, anomalies, fraud so that network can be safe from targeted attacks. Many institutions are taking steps to focus the growing problems of advanced persistent threats, attacks and fraud... Mishra, A. D., & Singh, Y. B. (2016, April). Big data analytics for security and privacy challenges. In 2016 International Conference on Computing, Communication and Automation (ICCCA) (pp. 50-53). IEEE.
Dariusz Prokopowicz even if there exist, such systems are rare in terms of implementation, however, theoretical findings are available in most conferences, e.g. ieee conferences related to security of big data and cloud storage, etc.
In my opinion, the scope of synergy and possibilities of combining applications of various advanced information processing technologies, including data analysis eg on Business Intelligence platforms based on large data sets collected in Big Data database systems for the purpose of improving information security management processes, including information transferred, increases. on the Internet, collected in Big Data database systems and used to carry out various economic, financial and other analyzes.
Dear Colleagues and Friends from RG
The key aspects and determinants of applications of data processing technologies in Big Data database systems are described in the following publications:
Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...
Article The Big Data technologies as an important factor of electron...
Article The Technological Solutions Big Data and the Importance of B...
I invite you to discussion and cooperation.
Best wishes
Dear Friends and Colleagues of RG,
Will the development of information security management in Big Data database systems be one of the key areas of information security management in information systems in the coming years?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
yes... The Term Big Data Analytics for Security intelligence refers to a process of analyzing and mining large amounts of data (petabytes, exabytes, zettabytes) from different sources including IP address, Emails, log files, information get from other attack investigation and many more. Many of the organization use big data analytics for security intelligence to indentified anomalies, threat, verify alerts and security events to neutralize cyber attack. The scope of big data security is limited not only to the current data set but also historical data to identified threats, anomalies, fraud so that network can be safe from targeted attacks. Many institutions are taking steps to focus the growing problems of advanced persistent threats, attacks and fraud... Mishra, A. D., & Singh, Y. B. (2016, April). Big data analytics for security and privacy challenges. In 2016 International Conference on Computing, Communication and Automation (ICCCA) (pp. 50-53). IEEE.
Big Data environments are also beginning to be more pervasive as IT is increasing its importance for organizations worldwide. In order to better know which aspects are the most important for the intersection of Big Data and information security governance, authors present in this paper a systematic mapping on this topic. Authors illustrate challenges and gaps concerning the topic and clarify these challenges by means of a classification of the environments they take place, the security risk spectrums they concern, and the security governance measures they take to mitigate them; by providing solutions as in a framework, model, software or tool, wherever possible... Moghadam, R. S., & Colomo-Palacios, R. (2018). Information security governance in big data environments: A systematic mapping. Procedia computer science, 138, 401-408.
Network Information Security System Based on Big Data...Xiao, G. (2020, June). Research on Computer Network Information Security System Based on Big Data. In 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) (pp. 447-450). IEEE.
By making use of big data collected from networks, computers, sensors, and cloud systems, cyber threat analysts and intrusion detection/prevention systems can discover useful information in real time. is information can help detect system vulnerabilities and attacks that are becoming prevalent and develop security solutions accordingly... Angin, P., Bhargava, B., & Ranchal, R. (2019). Big Data Analytics for Cyber Security. Security and Communication Networks, 2019.
Yes, but such systems for information security risk management need to permanent update
Dear D A Gayan Nayanajith, Thank you for your answer. Dear colleague, I am happy with our cooperation. I am happy with our joint discussions. Thank you for participating in the discussion. Thank you very much for answering the question: Are there currently developed systems for information security risk management gathered in Big Data database systems? Thank you for the proposed interesting issues in the field currently developed systems for information security risk management gathered in Big Data database systems. Thank you very much for your inspiring, interesting and highly substantive answer. Very interesting considerations. This discussion shows the growing importance of the issue information security risk management gathered in Big Data database systems. I am looking forward to developing cooperation through joint participation in discussions on these interesting and important topics. I learned a lot from the discussions. Thanks for sharing your information. I am glad that the discussion is taking place and developing on this topic.
Thank you very much and best regards, All the best, Stay healthy!
Dariusz Prokopowicz
Dear Vadym Slyusar,
It is correct. Good point. Of course, as well as other operational risk management systems, IT systems risk, Internet data transfer, cybercrime risk, the information security risk management systems collected in Big Data analytical and database systems require constant updating, because ICT and Industry 4.0 information technologies are rapidly gaining ground. they develop.
Best wishes,
Dariusz Prokopowicz
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