How to install the Snort IDS on a Linux system?

by | Mar 5, 2017 | CCNP, Data Breaches and Prevention, DoS and DDoS Prevention, End Point Protection, Firewall, Malware Prevention, Network Security

IDS

Now, you can install Snort by typing the following:

# sudo apt-get -y install snort-mysql

During the installation, provide the IP address for your local network. Select to configure the snort database manually to connect with the previously created database.

4. Configure the Snort IDS:

Update the database with the snort table structure.

# pushd /usr/share/doc/snort-mysql
# /usr/share/doc/snort-mysql$ sudo zcat create_mysql.gz | mysql -u snort -p snort
password:
# popd

Modify the snort configuration file to include MySQL-specific information.

# sudo sed -i "s/output\
 log_tcpdump:\ tcpdump.log/#output\ log_tcpdump:\ tcpdump.log\noutput\
 database:\ log,\ mysql, user=snort password= dbname=snort
 host=localhost/" /etc/snort/snort.conf

Remove pending configuration file:

# sudo rm -rf /etc/snort/db-pending-config

For Debian or Ubuntu, you might have to check /etc/snort/database.conf for the proper value of the database, user, password, and host.

You might also have to change ‘ipvar HOME_NET any’ to your home subnet like:

ipvar HOME_NET 192.168.1.1/24 in /etc/snort/snort.conf

5. Start the Snort service:

# sudo /etc/init.d/snort start
# sudo /etc/init.d/snort status
# tail /var/log/syslog

Snort should successfully start.
If it fails, please try to execute the following command and detect the actual reason for the error:

# sudo /usr/sbin/snort -c /etc/snort/snort.conf -i eth0

You may have to select a proper interface for your system instead of eth0.

6. Install ACID:

We need to install a web front end to monitor Snort’s output. ACID solves the purpose.
Follow the following steps to install ACID.

# sudo apt-get -y install acidbase

During installation, select MySQL database and MySQL administrator password.

7. Configure ACID:

We need to configure ACID now.

# sudo sed -i "s#allow\
 from\ 127.0.0.0/255.0.0.0#allow\ from\ 127.0.0.0/255.0.0.0\
 10.10.1.10/255.255.255.0#" /etc/acidbase/apache.conf

You would need to give your IP instead of 10.10.1.10.
This step will allow access to acidbase from your desktop.

Restart the Apache server for the changes to take effect.

# sudo /etc/init.d/apache2 restart

8. Access Acidbase:

Pages: 1 2 3
Facebooktwitterredditpinterestlinkedinmail

Related posts:

OSSECHow to install and configure OSSEC on Linux? NmapA Guide To Port Scanning Using Nmap IPv4 AddressIPv4 Addressing And Subnetting tcpdumpNetwork Analysis With tcpdump IDSWhat is an IDS or Intrusion Detection System and how does it work? Database Activity MonitoringA Guide To Database Activity Monitoring (DAM) Intrusion Detection and Prevention System (IDPS)IDS vs. IPS Database FirewallWhat is a database firewall? mGRE TunnelWhat is Multipoint GRE (mGRE) and how does it work? iptablesHow to configure iptables firewall on Linux? DBShieldDBShield: Go Based Database Firewall IPSWhat is an IDPS or Intrusion Detection and Prevention System? Browser HijackerWhat are browser hijackers? ARP SpoofingHow to detect an ARP spoofing attack on a system? TACACS+What is TACACS+ protocol and how does it work? rkhunterHow to remove rootkits using rkhunter?

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 »