An enhanced scan engine is one of the primary features of Quick Heal 2013. The engine is now smaller in size (almost 1/10th) and utilizes adaptable machine learning capabilities to detect potential threats. This not only increases the security of the device but it also reduces the resource load to provide an optimized solution.
What is Machine Learning and how does it function?
In order to understand the engine enhancements, it is necessary to delve into machine learning and understand how this technique works. Machine learning is a pattern-based algorithm that teaches programs to study existing patterns and then predict future behavior based on these. There are many different avenues where machine learning can be implemented and the algorithm can be altered to achieve several purposes.
The nature of the algorithm causes the program to change its execution path and decisions based on the data it has gathered over time. As a result, new data causes the program to ‘learn’ and adapt its directory constantly. The accuracy of the program highly depends on the quality of training data that is provided during development.
Consider the case of spam filters used by email service providers. The machine learning algorithm here allows the filter to identify spam that resembles similar content received in the past. If an incoming email possesses characteristics similar to previously seen spam, it is classified as spam too and sent to the Junk box. As new spam pours in with altered content and different text, the algorithm teaches itself to recognize such alterations proactively.
Different types of Machine Learning
Machine learning can be classified into the following major categories:
Supervised learning: In this scenario the program uses labeled (supervised) training data to create functions and paths. In the development phase this data is punched in and the desired output is compared with the output achieved. This allows the algorithm to predict results in a reasonable manner and also helps it evolve over time. In the case of the aforementioned email spam filter example, emails that are classified as spam by the user serve as labels for future predictions. So the program sends similar emails to the Junk box in the future.
Unsupervised learning: This scenario allows the program to analyze unlabeled data to predict behavior and find hidden structures. Since there is no way to compare results, this method utilizes many data-mining concepts. The results are eventually clustered together to form distinctions and classifications.
Machine Learning in Quick Heal 2013
When it comes to malware analysis and threat detection, machine learning has capabilities that exceed present-day algorithms. The program structure enables recognition of present and past malware signatures and the detection of new threats as and when they arise. This is achieved through the study of supervised labels programmed during development and the unsupervised clustered patterns that the program teaches itself.
Malware authors leave various signatures that accompany exploits and these signatures are visible once identified. Machine learning teaches the scan engine to pour through known signatures and detect new signatures that could be threatening. The automation and increased detection rate provided by machine learning makes Quick Heal 2013 highly advanced.
Machine learning is a form of artificial intelligence and is a fairly complex technique. It can be modified to suit various purposes and its efficiency depends on how intricately it is tested. The Quick Heal 2013 scan engine directory possesses a large number of malware signatures that it already recognizes and this helps the algorithm predict future threats with near perfect accuracy. Along with other features like Browser Sandboxing and sub-domain blocking, machine learning provides our users with integrated and comprehensive protection.
Thanks alot Rahul,
I had the same query which was answered by Sanjay sir.
And really thanks for explaining the sophisticated technique of machine learning info.
cud you please share any precise link where i can get more details about the algorithms and different analyzing patterns?
Thanks Once again for one more fanatastic blog
Rahul thanks for the detailed blog on Machine learning.
I’m nit if this is the right forum to ask about one of the feature of Quick Heal 2013: “Quick Heal Secure Browse”, could you through some light on this feature as well?
Kindly visit this link for more information about the secure browser feature – https://blogs.quickheal.com/quick-heal-2013-and-sandboxing-ensure-comprehensive-protection/.
what is diff between QH 2012 and QH 2013 in all all Pro, internet security and total security.plz tell . also tell is there any feature u discontinue in QH 2013 .
You can see the list of all features of all Quick Heal 2013 products by visiting this link – https://www.quickheal.com/products.asp.
very recently I have purchased a Quick heal Internet Security 2012 premium version. All the features are helpful but I cannot stop the popping up of those marketing adds which we don’t require. I searched the whole DASH BOARD of the Software but not found any option which could solve this specific problem.. so, could you please tell me what settings I need to change to get this pop-up blocked.
Quick Heal does not provide or endorse any pop-up marketing ads through our product. The only pop-ups that can be seen are very important news updates or other notifications. If you are seeing marketing ads popping up through Quick Heal, yours may not be a legitimate version. Kindly visit this link – https://www.quickheal.com/supp_tic.asp. Submit details there and we will get back to you.
I have total 5 machines wher Quickheal Internet Security is install. Some have 2012 and some 2013.
I have noticed out of these 3 are not getting auto updated and then we have to strugle in bringing them to latest position.
One is running windows 7 and others XP. I remember there were weekly or monthly update files were available on webpage of QH now why the are stoped?
Is this machine problem or installation problem?
How this can be corrected is the main problem I am facing.
Kindly visit this link – https://www.quickheal.com/supp_tic.asp. You can submit a ticket about your grievance and our support team will get back to you with a solution.
It seems the sandbox feature of periodically clearing the data saved by it also clears the saved ID and passwords in the browsers. Is there a way that the same can be avoided?
This is not something that is happening because of Quick Heal. Kindly visit this link to submit a ticket – https://www.quickheal.com/supp_tic.asp. Our support team will get back to you and help you out.