Big Data And The Rise Of Internet Crimes.
Before knowing about Internet Crimes, let's get some good idea about Big Data.
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Updated November 2026. This was first published on 27 October 2021. The idea is the same. Any number below is what the original piece said then. It is not a new count.
Key takeaways
- Before knowing about Internet Crimes, let’s get some good idea about Big Data.
- In the simplest way possible, Big Data can be defined as large volumes of data growing exponentially with time.
- This data is so huge that it becomes hard to manage and, sometimes the traditional data management tools cannot process it or store it efficiently.
What exactly is Big Data? #
Before knowing about Internet Crimes, let’s get some good idea about Big Data.
In the simplest way possible, Big Data can be defined as large volumes of data growing exponentially with time. This data is so huge that it becomes hard to manage and, sometimes the traditional data management tools cannot process it or store it efficiently.
The Gartner definition of Big Data is ?
is high-volume, velocity, and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
How ‘big? is Big Data? #
Big Data is, take a look at the numbers below: Data is generated per minute on the internet.
4.5Million* videos are watched on Youtube, and.
But that is not all the data generated per minute.
The New York Stock Exchange generates one terabyte of new trade per day.
Facebook generates 500+ terabytes of new data every day. This huge amount of data is generated mainly in terms of photos and videos uploaded, comments made and messages sent.
The jet engine can generate about 10+terabytres of data every 30 minutes of flight time. Roughly around 100,000 flights are taking off and landing per day, the amount of data generated reaches up to Petabytes.
By now, you must have a good deal of understanding of how ‘big?
Types of Big Data: #
Big Data can be classified into three types ? 1) Structured data, 2) Unstructured Data and 3) Semi-structured data.
Structured Data:** Structured data is any data that can be accessed, processed and stored in the form of a fixed format. Structured Data is the most uncomplicated form of Big Data to work with.
Example of Structured Data: The employee table is a good example of structured data.
Unstructured data:** Unstructured data is any data with an unknown form or classified structure. Apart from the size being huge, unstructured data produces different difficulties in terms of its processing for obtaining value out of it.
Example of Unstructured Data: |The output returned by ‘Google Search?
Semi-structured data:** Semi-structured data is any form of data that can combine both Structured and Unstructured data. To be precise, it implies to the data that even by not being directed under a specific database, it contains essential information that can identify singular components inside the data.
Example of Semi-structured data: Personal data stored in an XML file.
Why is Big Data so important? #
The analytics of Big Data is used by numerous companies make use of their data to identify new windows of opportunity. Companies use Big Data to achieve growth and defeat their competitors.
Companies need to collect and analyse Big Data mainly because it is ? Helps in the understanding of the market in the best way possible, 4. Improve customer acquisition and retention, 6. Innovate and redevelop their products and 7. Ensures influential marketing campaigns by solving advertisers problems and offers marketing insights.
Every company uses the data collected by them in their own way. The more constructively a company uses its data, the more promptly it expands.
The amount of data a company collects is not important but how the company chooses to use it is important.
Relation of Internet crimes with Big Data #
In a single sentence, cybercrime is any form of criminal activity that requires the use of a computer, networked device and a network.
Cybercriminals carry out these forms of criminal activities for a few reasons. Some want to generate profit, some do it to damage or disable computers and connected devices, some spread illegal information, images, videos and other materials.
The past years have seen several cyber attacks like the Telegram Hijack, Sopra Steria Ransomware Attack, Seyfarth Shaw Malware Attack, Carnival Corporation Data Breach and many more. The Cambridge Analytica scandal has proved that data violations do not require hacking.
This brings our attention to a new viewpoint on data security. Many multinational companies have access to an enormous amount of information. They can be personal information too, information that people would like to be kept hidden. After the Facebook Scandal, we have learned that no data that we share is unexploitable. Big data plays an important part here as it is the main data analytics tool. The misuse of big data for more cybercrimes can become an infamous issue. Publishing data through apparently legal ways can cause several complications and drawbacks. The damage will be worse if the data is used by criminals with greater threats.
It is an obvious fact that a company cannot run without collecting data. With cybercriminals wanting to misuse the data, constant analysis of potential threats and breaches has become a necessity. This is not an easy task and requires more big data-based technologies, which is not a positive point.
Use of Big Data in cybersecurity #
According to a Bowie University study, 84% of businesses that used big data managed to stop cyber attacks.
The process of analyzing large volumes of data that is unutilized by the usual analytics programs is referred to as Big Data Analytics.
Big Data Analytics, in collaboration with Machine Learning, can perform an in-depth analysis of all the collected data, past and existing, and distinguish between what is ’normal? Based on the results, companies can then use machine learning to build up their cybersecurity guidelines so they can be cautioned whenever there is an irregularity in the normal course of things and hence can block cybersecurity threats.
Big data is a brilliant method to detect potential threats that come from employee devices. It identifies anomalies in the employee as well as the contractor devices.
Big data also allows companies to respond to threats detected automatically and ensures the accuracy of the data.
Wrapping up: #
With so many benefits, it is no wonder why companies are now investing in costly and advanced frameworks to enhance cybersecurity. It is widely believed that big data will solve various issues of artificial intelligence. Apart from that, the truth, But, is that with the increasing advancements of cyber attacks, the cybersecurity established to avoid them is also increasing. It is important for companies to identify the risks of cybercrimes and take responsibility to block them.
Questions and answers #
What exactly is Big Data? #
Before knowing about Internet Crimes, let’s get some good idea about Big Data. In the simplest way possible, Big Data can be defined as large volumes of data growing exponentially with time.
Why is Big Data so important? #
The analytics of Big Data is used by numerous companies make use of their data to identify new windows of opportunity. Companies use Big Data to achieve growth and defeat their competitors.