New System by SafeDNS to Detect Malicious Internet Resources

SafeDNS’s slogan is Secure Internet for Home and Business — Now the firm has come up with a new system that will detect malicious resources to protect Internet users!

SafeDNS gives its users an opportunity to set its web filtering service on any web-connected devices. The security of browsing the internet without a worry on all devices connected to a router has made it a popular pick among people looking to secure their home routers. However, with their new system for detecting malicious internet resources, SafeDNS will now surely be ranked right up with the top names in the market.

What is the New System?

Traditional systems to detect malicious internet resources rely on static lists that are fed to a database the systems rely on. While the safety industry has seen a shift from static lists to dynamic lists, SafeDNS has come up with a new system that can detect malicious internet resources with a precision of 98%. This model uses many diverse methods to detect malicious internet resources and keep SafeDNS users safe from them. The high precision of the new system means that almost all malicious resources will be identified and blocked before they can cause trouble. All the newly detected resources are added to the constantly evolving database that is maintained by SafeDNS. Since the implementation of this new system, SafeDNS database of malware has seen a rise of 66%.

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Digital Padlock on Circuit Background - Web Security Concept / Image Source: SafeDNS
Digital Padlock on Circuit Background – Web Security Concept / Image Source: SafeDNS

How does it work?

The efficiency of this new system developed by SafeDNS is born out of analysing and processing the attributes associated with malicious resources that are found on the company’s filtering service. They have found out certain patterns and attributes related to these malicious resources that help make the dynamic classifier so efficient. For example, it has been noted that malicious resources are usually requested by fixed groups of people in a limited time. Legitimate resources, on the other hand, are requested by occasional users rather than a fixed group.

In an exclusive conversation with SafeDNS representatives, HackRead was told that: 

“The SafeDNS system of malware detection is actually just a part of a company’s large all-encompassing project which will soon be announced in a separate statement.”

The following techniques are used in the system:

  1. Grouping users and using similarity

The system groups users according to the servers they request within each pre-determined time frame. The servers are blacklisted or whitelisted, depending on the frequency of their request. The data from subsequent time frames is matched to find if a resource is malicious. If the same group requests it, then there is a greater likelihood of the resource being malicious. Finding the similarity of the groups, therefore, is an important aspect in the working of this system, and SafeDNS has realised that the Jaccard Similarity Coefficient proves to be the most appropriate one.

  1. Internet Resources Ranking Method

The 98% accuracy of this new system by SafeDNS has been made possible by adding the internet resources ranking method to the mix. ‘Maliciousness’ and ‘legitimacy’ ranks are computed on a continuous and mutually exclusive basis. The computation is done by analysing the shares of users who request particular resources in the pre-determined time frames.

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The new system created by SafeDNS is definitely their most prominent hallmark. Dmitry Vostretsov, CEO of SafeDNS, reckons that the ingenuity and accuracy of this new system have taken SafeDNS on a much higher level than before, taking it at par with the big names in the industry. The company’s ability to detect, as well as filter out, botnets and malware have improved significantly. SafeDNS has come a long way since being founded in 2010. Their commercial service for home, corporate, and educational users was launched only in 2013, but they have already made a big name for themselves.

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