Skip to main content

Passwordless Authentication


Passwordless authentication is a verification process where a user confirms his or her identity without the requirement of manually entering a string of characters. Authentication methods include biometrics, security tokens and piggybacking off of another application, service or device which has already authenticated the user.

Passwordless authentication is commonly used on mobile devices such as smartphones, tablets or laptops and applications such as Slack or WhatsApp. The benefits of using passwordless authentication include:
  • Improved user experience (UX).
  • Faster login times into applications or devices.
  • Less maintenance of passwords required for IT staff.
  • Reduced chance of phishing attacks, password re-use or password leaks.

Types of passwordless authentication

With passwordless authentication, users are presented with one or multiple methods of signing into an application or device without the need to enter a password. Common types of passwordless authentication include email-based, SMS-based, multi-factor, biometrics or passwordless authentication for logged-in users.

Authentication through email includes verifying a user with a magic link or one-time code. With a magic link, the user first enters their email and a unique token is created for the user and sent to them by email. The user clicks the link and the service being used will identify the token and exchange it for a live token, logging the user in. With a one-time code, a user will enter their email address and an email will then be sent to them with a unique one-time code. The user then enters the code into the service, which will verify the user and log them in.

Authentication through SMS will begin with the user entering their phone number, prompting a one-time code to be sent to their phone. The user will input the code into the service, where the service will verify the code and phone number, and log in the user. However, SMS passwordless authentication may be less secure than other methods of passwordless authentication as SMS authentications have recorded multiple attacks in the past. SMS and email-based passwordless authentication can also log into a service through a second device through push confirmations, using the first connected device as a communication channel.

Multi-factor authentication uses any (typically) three authentication factors to log in a user such as security questions, PIN codes and contact information. What these factors are depends on the device/service.

Biometrics is another common form of passwordless authentication. Biometrics focuses on technology such as fingerprint scanners or face scans. This form of authentication is commonly found on mobile devices such as smartphones. Android devices will commonly use fingerprint scanners (normally located on the power button, back of the device or even under the front display), while Apple devices (which used to use this authentication format) now use face authentication.


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...