Computer networks are of significant advantage in making communication and data sharing between two or more systems faster and direct. However, as much as they can make the connectivity convenient, using computer networks has a lot of potential to bring about risks and ransomware into the system. This often forces organizations to leave the critical tasks aside and rather work on ransomware removal and ransomware recovery instead.
However, one of the most considerable advantages of networks is that they can help a great deal in the detection of any cybercrime that is about to surface. One only needs to be able to analyze the network entirely and detect any loophole or breach that is in there. Such a thorough analysis can be done by using a few analytical techniques and methods.
Here are a few methods to analyze networks for any possible cyber threat that might be all ready to ruin your privacy and settings:
Random Walk Method
This method of analysis is used to analyze the primary data that has an arbitrary arrangement. Using the reference ranking algorithm, also called the page rank methodology, the participant systems of the network are examined and classified. Such a method allows one to measure the likelihood of a cyber-threat that has the potential to breach privacy.
Data Mining Method
Data mining methods are used everywhere and are the most commonly used methods to analyze networks for threats. An efficient data mining technique can find out valued and perfect knowledge about whatever is going on in the individual systems and the network as a whole. Applying the knowledge of stats, A.I, database measurement, pattern recognition, and various algorithms systematically, the data is mined and analyzed, which highlights the cyber threats and other systematic problems irrespective of how frail they are.
Multimedia Analysis Method
The multimedia files being shared over the networks can be analyzed and interpreted very easily. Such an analysis helps in determining the possible threats and risks that might be there in the system and can damage the computers shortly. Multimedia files also have tags and comments associated with them sometimes that can be interpreted for cybercrime risks through content analysis.
Graphs can be used to represent any network in a graphical and mathematical form. These graphs cater to everything about whatever is going on in a system, even the minutest details, and all of this is available in the way of a picture that is interpreted easily by the professional readers. Graphs about a network model association and working of the network, the network’s strength, related sub-systems in the system, the relationship between all the units of that network, as well as the dynamics of data flow from one group to another. All of this information can quickly help in identifying whether there is any cybercrime risk active in the network or not, which can later help the users to keep safe from such hazards by taking preventive measures.