To prevent such a threat, the system administrator should liaise with the human resource department to give every employee different login details depending on their level of complexity of their job description and responsibility to the business.
INTRUSION DETECTION SYSTEM
Firewalls, multi-factor authentication and data encryption are common big data security measures today.
One critical and more progressive precaution is the incorporation of an Intrusion Detection System (IDS). IDS offers an umbrella to the enterprise network as it monitors all the traffic on certain segments that may have malicious intent or traffic.
Big data analytics becomes critical in the use of the IDS, as it provides all the necessary information required for the monitoring a company’s network. It is also important to comprehend business requirements in order to make an informed decision about deploying an IDS system.
IDS should be utilized when conducting all systems that are accessed through the internet, plus those that are mission-critical to the business.
COMBATING CYBER THREATS IN THE FUTURE
Machine learning and big data analytics will add value to both government agencies and business organizations in helping them combat cyberthreats. In the meantime, they must build defenses that can withstand increasingly sophisticated cyber attacks.
In addition, with the increasing number of cyber attacks coming from employees and other servers, advances in big data are more important than ever. We need to be vigilant on advances in this field, and how they can help protect our data.