Slipping The Masks of True Identify – Authentication and Validation
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With the advancement in the Internet of Things (IoT), Artificial Intelligence, and Data Sciences, big data have exceeded the intricacies involved in defining and measuring the data in various spheres of life – work as well as personal. Today, from GPS signals to Social Media Sites, the world whirls around data. “Over 2.5 quintillion bytes of data are created every day”, according to the sixth DOMO’s report. However, with the growing number, the concerns regarding data security and authenticity are upsurging as well. And this matter of contention will be augmenting as “by 2020, it is predicted that 1.7MB of data will be created every second for every person on Earth,” stated in one of the articles by Forbes.
Due to an external factor, if the communication nodes can be hindered then the authenticity of the data becomes meaningless. The information security basically stands firm on three pillars; guardianship of secrecy, the virtue, and availability of data. And the good news, these three can only be worked out together via identification, authentication, and validation – the game changers in the data realm. Authentication & validation have a direct link with the user identity as they are the first check post for user information – comparison between the data input with the data that is already stored in the system.
However, the downside is, with the amplification of the internet for open distribution channels today, the virtual communication has become a menace. Hackers and cyber attackers can easily target the information that is available on the internet because of the nature of communication in open nodes is such. Therefore, authentication plays a major role here regardless of having no role over what an individual can do or for that matter see a file on the system but it analyzes and certifies who the user or the system is.
The biggest epitome of authentication can be seen at airports worldwide. Without verifying the person’s identity, he is not allowed to collect his boarding pass. The traveler has to show his identity proof document and the ticket so that the airport authorities can authenticate the person is the same who he claims to be on the ticket.
On the other hand, validation is purely an automatic digital check to make certain that the information entered in the system is realistic and feasible by matching it with the original source as data vulnerability may have an adverse effect. However, the degree of accuracy has nothing to do with the validation process. The world today follows diverse validation types – check digits, format check, length check, lookup table, presence check, range check, and spell check. A well-known example is a biometric validation – the companies, various institutes, and organizations follow this method to ensure who enters the premises.
The intricacy of data has become phenomenal with the passing time because all the physical documents have now been digitalized. This making data extremely delicate and useful for cybercriminals in terms of profit generation. Therefore, now it is high time we keep in mind authoring the need to authenticate and verify the data of any kind across the extensive network of systems.