Is the synergy of development of computerized information technologies, Data Science analytics and IT security management process growing?

Dariusz Prokopowicz @Dariusz_Prokopowicz

01 January 1970 2 4K Report

The importance of both Data Science and cybersecurity will grow in the following years, as advanced technologies for information processing and data transmission on the Internet are developing, and the security of data processing in the cloud and data transmission on the Internet is also connected with these issues.

The importance of information technology, etc. related to the technological revolution known as Industry 4.0 is growing. This revolution is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.

However, on the other hand, in recent years, the scale of cybercriminal attacks on IT systems of various institutions, including government institutions, on social media portals databases, on teleinformatic systems of banks, on electronic banking systems has been growing. Increasingly, cybercriminals are attacking mobile internet banking systems made available to Internet users, bank customers through mobile devices, mainly through smartphones.

The research shows that the scale of cybercriminal attacks on IT systems of banks, institutions etc. using social engineering connected with perfidiously created malicious software such as ransomware, ie encrypting access to data on disks or redirecting users to fake websites of banks and institutions on the Internet, is growing. the purpose of phishing of personal data, passwords of access to electronic banking accounts and, as a result, to theft of money.

The development of Business Intelligence business analytics, Blockchain technology, data analysis in Big Data database sytems, artificial intelligence to track movements and attacks by cybercriminals, prognostic analyzes etc. can be helpful in the process of improving IT risk management. Therefore, the skillful and efficient use of data science technology can be helpful in combating cybercrime, but it all depends on how these technologies will be used and who will win in the next years in this informative, information "arms race".