What is Certificate Transparency and how does it work?

by | Feb 28, 2020 | CCNP, CompTIA, Data Breaches and Prevention, Data Security, Encryption, Exclusive Articles

What is Certificate Transparency?

When sensitive data is transferred between two hosts, encrypted communication like TLS is used for that purpose. And, digital certificates have a major role to play in TLS communication.

A TLS server usually issues its digital certificate from a trusted Certificate Authority or CA. When a TLS client wants to establish a TLS connection with the server, the server sends that digital certificate to the client. The client verifies the certificate from the trusted CA and then proceeds with establishing the connection.

But, there are a number of recent incidences where a digital certificate is mistakenly issued by a CA or a CA has been compromised. It is extremely difficult to detect such fraudulent cases in the current scenario. Our browsers cannot detect if a malicious website is using a mistakenly issued certificate or a certificate issued by a compromised or rogue CA. As a result, user security gets compromised.

Certificate Transparency is an experimental IETF (Internet Engineering Task Force) open standard that is used to monitor and audit digital certificates and to detect suspicious certificates and CAs within a reasonable time frame.

Functional Components of Certificate Transparency

Certificate Transparency has three new functional components to the current SSL certificate system :

  • Certificate Log
  • Certificate Monitor
  • Certificate Auditor

Certificate Log

Merkle Tree

A Certificate Log is a simple network service that maintains a record of SSL certificates. Any interested entity can submit certificates to the Certificate Log, though it is expected that a CA or server operator submit a certificate to the log. A log is a single, ever-growing, and append-only entity. When an interested party submits a valid digital certificate to the log, the log returns a Signed Certificate Timestamp or SCT. A valid digital certificate can have a single valid SCT. So, if the log has seen the digital certificate before, it may return the same SCT which it has already returned before.

This article is accessible to premium members only. To access this article, please purchase The Security Buddy Premium Membership Plan.

Facebooktwitterredditpinterestlinkedinmail

Calculate the pseudoinverse of a matrix using Python

What is the pseudoinverse of a matrix? We know that if A is a square matrix with full rank, then A-1 is said to be the inverse of A if the following condition holds: $latex AA^{-1}=A^{-1}A=I $ The pseudoinverse or the Moore-Penrose inverse of a matrix is a...

Cholesky decomposition using Python

What is Cholesky decomposition? A square matrix A is said to have Cholesky decomposition if it can be written as a product of a lower triangular matrix and its conjugate transpose. $latex A=LL^{*} $ If all the entries of A are real numbers, then the conjugate...

Tensor Hadamard Product using Python

In one of our previous articles, we already discussed what the Hadamard product in linear algebra is. We discussed that if A and B are two matrices of size mxn, then the Hadamard product of A and B is another mxn matrix C such that: $latex H_{i,j}=A_{i,j} \times...

Perform tensor addition and subtraction using Python

We can use numpy nd-array to create a tensor in Python. We can use the following Python code to perform tensor addition and subtraction. import numpy A = numpy.random.randint(low=1, high=10, size=(3, 3, 3)) B = numpy.random.randint(low=1, high=10, size=(3, 3, 3)) C =...

How to create a tensor using Python?

What is a tensor? A tensor is a generalization of vectors and matrices. It is easily understood as a multidimensional array. For example, in machine learning, we can organize data in an m-way array and refer it as a data tensor. Data related to images, sounds, movies,...

How to combine NumPy arrays using horizontal stack?

We can use the hstack() function from the numpy module to combine two or more NumPy arrays horizontally. For example, we can use the following Python code to combine three NumPy arrays horizontally. import numpy A = numpy.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) B =...

How to combine NumPy arrays using vertical stack?

Let’s say we have two or more NumPy arrays. We can combine these NumPy arrays vertically using the vstack() function from the numpy module. For example, we can use the following Python code to combine three NumPy arrays vertically. import numpy A = numpy.array([[1, 2,...

Singular Value Decomposition (SVD) using Python

What is Singular Value Decomposition (SVD)? Let A be an mxn rectangular matrix. Using Singular Value Decomposition (SVD), we can decompose the matrix A in the following way: $latex A_{m \times n}=U_{m \times m}S_{m \times n}V_{n \times n}^T $ Here, U is an mxm matrix....

Eigen decomposition of a square matrix using Python

Let A be a square matrix. Let’s say A has k eigenvalues λ1, λ2, ... λk. And the corresponding eigenvectors are X1, X2, ... Xk. $latex X_1=\begin{bmatrix} x_{11} \\ x_{21} \\ x_{31} \\ ... \\ x_{k1} \end{bmatrix} \\ X_2=\begin{bmatrix} x_{12} \\ x_{22} \\ x_{32} \\ ......

How to calculate eigenvalues and eigenvectors using Python?

In our previous article, we discussed what eigen values and eigenvectors of a square matrix are and how we can calculate the eigenvalues and eigenvectors of a square matrix mathematically. We discussed that if A is a square matrix, then $latex (A- \lambda I) \vec{u}=0...

Amrita Mitra

Author

Ms. Amrita Mitra is an author, who has authored the books “Cryptography And Public Key Infrastructure“, “Web Application Vulnerabilities And Prevention“, “A Guide To Cyber Security” and “Phishing: Detection, Analysis And Prevention“. She is also the founder of Asigosec Technologies, the company that owns The Security Buddy.

0 Comments

Submit a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Not a premium member yet?

Please follow the link below to buy The Security Buddy Premium Membership.

Featured Posts

Translate »