Skip to main content

What's the difference between two-step verification and 2FA?

 

The two terms, two-step verification, and two-factor authentication are synonymous, though the former is now being used more widely by the likes of Google, Microsoft, and Apple as it better conveys how the actual authentication process works.

In the past, two-step verification was used to describe processes that used the same authentication factors, while two-factor authentication described processes that involved different factors, such as entering a password on a website and receiving a numerical code on a mobile device. Today, the two terms are both used to describe authentication that involves a secondary factor that is different from the first.

Authentication is a vital element of access control and data security because users can be assigned access rights and be authorized to perform certain actions only after successful authentication is performed. The ways in which someone can be authenticated fall into three categories based on what is known as the factors of authentication:

  1. Knowledge factors or something you know, such as a password, PIN, or shared secret;
  2. Ownership factors or something you have, such as an ID card, hardware or software token, or a mobile phone; and
  3. Inherence factors -- more commonly called biometrics -- such as fingerprints, face, and voice. It also includes behavioral biometrics such as keystroke dynamics.

Security research has determined that the best way to establish positive identification is to use elements from at least two of these factors for verification. Using multiple factors from the same category doesn't constitute multifactor authentication; for example, a password and a shared secret don't constitute 2FA because they don't use a different authentication factor. Most people have experienced the two-step verification or two-factor authentication process when they withdraw money from an ATM. Money is only dispensed when the correct combination of a bank card (ownership factor) and a PIN (knowledge factor) are presented.

Due to the number of phishing attacks trying to steal users' network credentials or online account passwords, many online services have introduced 2FA to prevent unauthorized access to accounts, even if a hacker manages to steal a user's password. To try and simplify the concept, the term two-step verification is becoming more commonplace as users are required to provide a second piece of information after they've provided their password in order to access their account. Typically, after correctly entering their password (knowledge factor), an online service will send the user a text message to their phone (ownership factor) with a unique security code that needs to be entered on the sign-in page to complete the user verification process.

Enterprises should require that network administrator and other privileged-access users login into systems using two-factor authentication tools to ensure that access to sensitive data remains controlled and compliant. It should also be mandatory when accessing any systems that store sensitive information because it reduces the chances of stolen credentials being used to log in to a network or system, as the attacker also has to have obtained the second authentication factor required to pass the verification process.

Comments

Popular posts from this blog

Understanding the Evolution: AI, ML, Deep Learning, and Gen AI

In the ever-evolving landscape of artificial intelligence (AI) and machine learning (ML), one of the most intriguing advancements is the emergence of General AI (Gen AI). To grasp its significance, it's essential to first distinguish between these interconnected but distinct technologies. AI, ML, and Deep Learning: The Building Blocks Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. Machine Learning, a subset of AI, empowers machines to learn from data and improve over time without explicit programming. Deep Learning, a specialized subset of ML, involves neural networks with many layers (hence "deep"), capable of learning intricate patterns from vast amounts of data. Enter General AI (Gen AI): Unraveling the Next Frontier Unlike traditional AI systems that excel in specific tasks (narrow AI), General AI aims to replicate human cognitive abilities across various domains. I...

Normalization of Database

Database Normalisation is a technique of organizing the data in the database. Normalization is a systematic approach of decomposing tables to eliminate data redundancy and undesirable characteristics like Insertion, Update and Deletion Anamolies. It is a multi-step process that puts data into tabular form by removing duplicated data from the relation tables. Normalization is used for mainly two purpose, Eliminating reduntant(useless) data. Ensuring data dependencies make sense i.e data is logically stored. Problem Without Normalization Without Normalization, it becomes difficult to handle and update the database, without facing data loss. Insertion, Updation and Deletion Anamolies are very frequent if Database is not Normalized. To understand these anomalies let us take an example of  Student  table. S_id S_Name S_Address Subject_opted 401 Adam Noida Bio 402 Alex Panipat Maths 403 Stuart Jammu Maths 404 Adam Noida Physics Updation Anamoly :  To upda...

How to deal with a toxic working environment

Handling a toxic working environment can be challenging, but there are steps you can take to address the situation and improve your experience at work: Recognize the Signs : Identify the specific behaviors or situations that contribute to the toxicity in your workplace. This could include bullying, harassment, micromanagement, negativity, or lack of support from management. Maintain Boundaries : Set boundaries to protect your mental and emotional well-being. This may involve limiting interactions with toxic individuals, avoiding gossip or negative conversations, and prioritizing self-care outside of work. Seek Support : Reach out to trusted colleagues, friends, or family members for support and advice. Sharing your experiences with others can help you feel less isolated and provide perspective on the situation. Document Incidents : Keep a record of any incidents or behaviors that contribute to the toxic environment, including dates, times, and specific details. This documentation may b...