Euro Journal

Cyber security, Big Data and Artificial Intelligence

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Artificial Intelligence (AI)  is a significant development in computer science that will soon be a key component of all existing software. This is both a danger and a chance. AI will both benefit from assistive and offensive cyber operations. New cyber assaults are designed to exploit the specific faults of AI. Finally, the request from AI for huge volumes of data training will alter how we need to think about data safety. Global government will need to secure the universal safety and prosperity of this era-defining technology.

AI in Big Data:

AI refers generally to computational systems which can do tasks without human intelligence. This technology evolves quickly, akin to the exponential proliferation of databases in the late 20th century. Databases are now the corporate software backbone. In the next few decades, much of the new software value generated will also be driven by AI.

In the preceding decade, databases have developed considerably to tackle the new “big data” problem. Large modern data collections obtained mostly from computer systems that now mediate almost every aspect of daily living. YouTube gets almost 400 hours every minute of video content (Brouwer 2015).

Big information and AI go hand in hand. Recent breakthroughs in AI are primarily dependent on “machine education.” This strategy trains AI using massive data sets rather than give an AI a set of static instructions. For example, AI chatbots can be taught to recognise and react properly with messenger data (Pandey 2018). Big data is the fuel that enables AI models and algorithms.

 

The main hurdle to innovation is not the collection and storage of data but the discovery of valuable insights within the huge amount of data already generated. AI can identify patterns that human eye couldn’t find in big data sets. AI may make even mundane and inconsequential data meaningful in this method. For example, researchers have taught computer models to recognise personality attributes better than friends based on Facebook posts (Wu, Kosinski and Stillwell 2015).

AI  in Cyber Security:

Every day news of a large-scale data violation or cyber attack cost millions of dollars. However, the IMF estimates worldwide financial losses at 100-250 billion dollars every annum (Lagarde 2012). The prevalence of computers, mobile devices, servers and intelligent devices raises the risk. While the worlds of corporate affairs and politics still adapt to the increasing relevance of cyberspace, the employment of AI in cyber security leads to further advances.

One of AI’s key objectives is to automate tasks that required human intelligence in the past. Reducing the quantity of work necessary for a project or the time required to conduct everyday tasks promotes efficiency. Customer service chatbots and AI medical helpers, for example, can detect diseases based on patient symptoms.

The collection of data used in the training of an AI system for classifying future observations in one of two categories could be utilised in a simplified model to apply AI to cyber defence. This allows the device to behave as an automatic sentinel that detects anomalies in typical background noise.

 

 

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