Cybersecurity is a very big issue that needs to be addressed right now. As we are moving into the depth of more technological advancements, issues like child pornography, deepfake, privacy issues, and monetary fraud are increasing day by day. With the help of big data analytics, the hands of cybersecurity can be strengthened even tighter. Here are some of the points that prove that big data analytics can prove to be an important asset in cybersecurity measures: –
Intrusion detection by Big data analytics
An external intrusion in the system happens in two ways, either by signature-based technique or statistical anomaly-based techniques. The intrusion detection systems manage the network, hosts, and connected devices and alarm intrusions. In the signature-based technique, the intrusion detection systems check for particular information packets only, and big data analytics cannot help much here. But Big data analytics can help a lot in statistical anomaly-based techniques in the following ways: –
● In the companies, the traffic at night is very low compared to daytime, so if any intrusion is taking place at night, then a large bunch of data is being transferred, which will be understood as an intrusion by the system. Also, check these Data Analyst Course fees to start a career in Data Analytics.
● The traffic of the bank’s server increases significantly on the day when salaries are being released. So if any extra transactions are going on in huge amounts, the system may give an intrusion alarm. Pursue a career in Data Analytics with the number one training institute 360DigiTMG. Enroll in the Data Analyst Training in Hyderabad to start your journey.
Remote banking frauds
Banks are very sensitive to financial fraud, but there is a very thin line between actual and false fraud transactions, which banks need to understand. This is a crucial part of banking. Otherwise, if someone is using his banking services and by chance, banks point him out as a fraud, only banks will lose trust and confidence. To check out this problem, banks maintain a good amount of big data, which are the following: –
● Banks maintain a list of mobile devices used by the user to access their accounts.
● Banks also check whether the device has antivirus software or not.
● Whether the user’s IP address is blacklisted or not.
● Location access is also taken sometimes to check whether the account is accessed from a different place, unfamiliar to the user.
● The database of when and how the user generally uses the banking services, and many more.
When analyzed, this big data gives critical information about the user. When the banking software sees any minute deviation, it declares fraud and temporarily bans the account. Kickstart your career by enrolling in this Data Analyst Course fees in Chennai.
Monitoring and incident response
Monitoring like the old school has been a thing of the past now, there are billions of devices, and it is out of human power to manually check every device for fraud activities. Big data analytics helps here as well. First, a good amount of big data of many customers and devices is made, which is then given as input to the big data analytics software, which then finds hidden patterns. So, if some other device deviates from that pattern, the system gives a warning, and then the bank employees or any other service check into it manually. Incident response has also been improved due to big data analytics. Wish to pursue a career in data analytics? Enroll in this Data Analyst Course fees in Bangalore to start your journey.
These were some of the most important aspects, broadening our thinking about how big data analytics can be used in cybersecurity.
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