What is Split Tunneling and how does it work?

by | Jan 8, 2021 | CCNP, CompTIA, Exclusive Articles, Featured, Network Security, VPN

Split Tunneling

What is Split Tunneling?

Split tunneling is a networking concept that allows a user to direct a part of his Internet traffic through an encrypted VPN, and the rest of the traffic is sent to the open Internet without using the VPN. For example, if a user accesses a corporate network from a hotel, then split tunneling will enable the user to access the corporate networking resources through VPN, while the user can browse other websites directly using the gateway provided by the hotel network. In other words, split tunneling enables only the traffic that is destined for the corporate networking resources to go through the VPN and the rest of the traffic is directly sent from the user’s device to the intended server through the open Internet.

How does split tunneling work? And, what are the advantages and disadvantages of split tunneling? In this article, we would discuss that in detail.


In this article, we would discuss:

  • What is Split Tunneling?

  • How does Split Tunneling work?

  • What are the advantages and disadvantages of Split Tunneling?

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

Pages: 1 2
Facebooktwitterredditpinterestlinkedinmail

Related posts:

VPN ConcentratorWhat is a VPN Concentrator? DNS TunnelingWhat is DNS Tunneling and how to detect it? Site-to-Site VPNWhat is a Site-to-Site VPN and how does it work? HTTP TunnelingWhat is HTTP Tunneling and how does it work? GRE ProtocolWhat is the GRE protocol and how does it work? Remote Access VPN vs. Site-to-Site VPNRemote Access VPN vs. Site-to-Site VPN NATHow do NAT and VPN work? VPNPPTP vs L2TP vs OpenVPN vs SSTP vs IKEv2 VPN mGRE TunnelWhat is Next Hop Resolution protocol (NHRP) and how does it work? mGRE TunnelWhat is Multipoint GRE (mGRE) and how does it work? Access ControlWhat is Access Control? Network Access ControlWhat is Network Access Control (NAC) and how does it work? OpenVPNHow does OpenVPN work? What is SSL VPNWhat is an SSL VPN ? IKEv2 ProtocolHow does the IKEv2 protocol work? Forward ProxyWhat is a proxy server and how does it work?

Calculate the pseudoinverse of a matrix using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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...
Read More

Cholesky decomposition using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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...
Read More

Tensor Hadamard Product using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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...
Read More

Perform tensor addition and subtraction using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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 =...
Read More

How to create a tensor using Python?

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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,...
Read More

How to combine NumPy arrays using horizontal stack?

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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 =...
Read More

How to combine NumPy arrays using vertical stack?

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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,...
Read More

Singular Value Decomposition (SVD) using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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....
Read More

Eigen decomposition of a square matrix using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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} \\ ......
Read More

How to calculate eigenvalues and eigenvectors using Python?

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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...
Read More

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.

Buy Premium Membership

Featured Posts

Translate »