The Role of Big Data Mining in Cyber Security

What It Is and Why It Matters

Big data mining is the collective data mining or extraction techniques performed on large sets or volumes of data. Data mining is the process through which organizations study information to gain insight into their customer behavior.

Importance of Big Data Mining for Organizations:

Big data mining is used in almost every industry and application, including marketing, finance, healthcare, and scientific research. The largest data mining companies usually use this information to improve consumers’ lives. Data scientists gather a huge amount of information and observe discrepancies to resolve problems. For example: At the grocery store: data can be automatically collected as customers swipe their loyalty cards, with their purchases noted, and what day or time of the week they purchased items.  Preprogrammed algorithms save purchases into a Microsoft Excel table. The data scientist cannot examine this raw data and thus relies on algorithms to pinpoint patterns, picking out key points. Therefore, data mining in big data analytics is performed. The team then uses that information to offer a promotion to boost sales. Companies use data mining to identify their customer’s trends.

Big Data Mining Techniques for Cyber Security:

Besides this Big Data mining techniques have become increasingly important for cyber security as the amount of data generated by organizations continues to grow. By using machine learning algorithms and statistical analysis, it is possible to identify patterns and anomalies in the data that may indicate a potential security breach or attack.

Data mining uses methods from statistics, machine learning (ML), artificial intelligence (AI), and database systems to obtain valuable knowledge. These cutting-edge technologies help in discovering more hidden patterns and improve the accuracy of predictions.

Data mining helps in quickly analyzing huge datasets and automatically discovering hidden patterns, which is crucial when it comes to creating an effective anti-malware solution that’s able to detect previously unknown threats.  However, the final result of using data mining methods always depends on the quality of the cyber security solution you use.

Why Network Fort?

Reliable, up-to-date, and well-structured data is the foundation of a cybersecurity solution. Nowadays, almost every organization generates tons of data every day, and manually gathering and processing all that data to combat cybersecurity threats is impossible.

Therefore, data mining techniques help to identify the characteristics of any malicious activity and even predict possible attacks. NetworkFort is very efficient at gathering threat intelligence and detecting malware, intrusions, fraud, and insider attacks. With end-point security, NetworkFort ensures the highest level of security with enhanced transparency across your enterprise.