Home Page - TeQResearch - Research Tutorial for Computer Science and Technologies

Advanced Encryption Standard (AES) Algorithm

What is Advanced Encryption Standard (AES) Algorithm? Digital data is secured using the Advanced Encryption Standard (AES), a symmetric key encryption method. It replaced the earlier Data Encryption Standard (DES),…

Message Digest 5 (MD5) Algorithm

What is Message Digest Algorithm (MD5) Ronald Rivest created the cryptographic hash algorithm known as the Message Digest Algorithm 5 (MD5) in 1991. It is frequently used to convert any…

Secure Hash Algorithm (SHA)

What is Secure Hash Algorithm (SHA)? The National Institute of Standards and Technology (NIST) publishes the Secure Hash Algorithm (SHA), a family of cryptographic hash functions created by the National…

ElGamal Encryption Algorithm

What is ElGamal Encryption Algorithm? An asymmetric cryptographic technique for safe data transfer is the ElGamal Encryption Algorithm. It works on the discrete logarithm issue, which is computationally challenging to…

Elliptic Curve Cryptography (ECC) Algorithm

What is Elliptic Curve Cryptography (ECC) Algorithm? Using the mathematical characteristics of elliptic curves over finite fields, Elliptic Curve Cryptography (ECC) is a public key cryptography technology that offers safe…

RSA Algorithm

What is RSA Algorithm? A public-key cryptography technique called Rivest–Shamir–Adleman (RSA) makes it possible to send data securely via unprotected networks. It employs two distinct keys, making it an asymmetric…

Mobile Computing: Concepts, Challenges, and Future Scope

Introduction In today’s digital age, mobile computing has emerged as a transformative force across nearly every sector — and academic research is no exception. With the rapid proliferation of smartphones,…

Apriori Algorithm in Data Mining: Working, Applications & Association Rule Learning

What is Apriori Algorithm? Large transactional databases can be mined for frequent itemsets and association rules using the traditional Apriori approach. Finding patterns of items that commonly co-occur in transactions…

Gated Recurrent Unit (GRU): Architecture, Working & Applications in Deep Learning

What is Gated Recurrent Unit (GRU) Algorithm? A particular kind of Recurrent Neural Network (RNN) architecture called the Gated Recurrent Unit (GRU) is used to simulate sequential data, including speech,…

Generative Adversarial Networks (GANs): Architecture, Working & Applications in AI

What is Generative Adversarial Networks (GANs)? Ian Goodfellow invented Generative Adversarial Networks (GANs) in 2014 as a kind of machine learning technique for generative modeling. Their main purpose is to…