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Case Studies
Cloud-Nanny
Cloud-Nanny
Making the Internet a safer place for families with intelligent real-time traffic management
To help keep children safe on the Internet, Cloud-Nanny has developed an innovative solution that uses machine learning algorithms and cloud data services to check and categorize websites in real time, and automatically block or alert parents when a potentially unsuitable website has been requested from one of their children’s devices.
The web is a wonderful tool for educating and entertaining children—but many parents worry about their kids viewing unsuitable content, or spending too much time on games and social media.
Cloud-Nanny is using machine learning algorithms and cloud data services to check and categorize websites in real time—giving parents peace of mind that their children can browse the web safely.
Results
children safe online by intelligently blocking unsuitable content
time parents need to spend monitoring children’s Internet usage
faster development process brings the solution to market in just 14 months
Making the Internet a safer place for children
As the pace of innovation in online media, gaming and social networking continues to accelerate, the Internet is fast becoming the default medium for entertainment, especially among millennials. If we extrapolate this trend, it’s not unlikely that the next generation—who are children today—will consume media and entertainment almost exclusively through the Internet.
Anyone who has seen a toddler glued to their favorite show on a tablet, or a ten-year-old play Minecraft online with their friends, will be inclined to believe this prophecy. Certainly, the Internet plays a far greater role in children’s lives today than it ever has before—not only as a more convenient way to consume traditional media, but also for whole new entertainment categories, such as video game streaming on sites like Twitch.
However, as children spend more and more time on the Internet, the risk of them coming into contact with inappropriate content becomes more and more of a worry for parents. There is an increasing desire to set clear boundaries for what kids can see and do online—but short of checking every single site manually, it’s almost impossible for parents to gain effective oversight of their children’s online activity.
Cloud-Nanny’s product, ChildRouter, was developed around the idea of giving parents an easy way to monitor and manage their families’ Internet usage. ChildRouter is an innovative Internet router that allows parents to manage access to categories of sites by device—so they can keep their own PCs and laptops unfettered, while ensuring that their children’s phones and tablets are blocked from visiting unsuitable sites.
To take its product to the next level, Cloud-Nanny wanted to move beyond manual blacklisting or whitelisting of sites, and create a more sophisticated, intelligent filtering system that could automatically recognize when a site is likely to be unsuitable for a particular audience.
Intelligent web filtering
Cloud-Nanny needed to find an architecture that would enable it to check hundreds of thousands of web requests and decide whether to allow or block them without noticeable impact on the end-user’s browsing experience. It targeted a processing time of no more than 40 microseconds to look up a site in its database and return a decision.
Martijn Rooks, CEO of Cloud-Nanny, comments: “IBM Db2® on Cloud was an ideal solution for quickly checking requests against our database of blacklisted and whitelisted sites – it’s very fast at performing this kind of query, and as a cloud-based database platform it can scale easily. Best of all, IBM provides it as a managed service, which means we can focus on developing our solution, instead of spending time on low-level database administration tasks.”
Looking up sites in a database is simple enough—but what happens if a child is trying to access a site that isn’t already in the database? That’s where the intelligent part of the solution kicks in. With a large collection of websites, Cloud-Nanny trained a model tailored to its needs, using machine learning algorithms running in IBM Analytics for Apache® Spark™. The power of the Spark cluster is used to create the website classifier, which is able to classify content in real time and categorize it—for example as a gaming site, a video site, or a site that contains adult material.
The solution then compares the results with the family’s existing profile, to check whether the site’s particular category is listed as OK or prohibited for the device or user that is making the request. If the categorization algorithm is very confident that the site falls into a permitted or banned category, the request is either allowed or blocked. On the other hand, if it is less certain about the classification, it can alert the parents and ask them to make a judgement call. The results of this parental decision are then fed back into the model, helping it learn and improve over time.
“The intelligent part of the solution is that it is built around the idea that Internet safety isn’t a black-or-white issue—there are lots of gray areas, and different parents will have different views on what is or isn’t acceptable for each of their children,” says Martijn Rooks. “Moreover, those views will likely change over time—sites that aren’t appropriate for a 10-year-old might be fine for a 14-year-old. Machine learning with Spark is so powerful, because it means our solution can adapt and evolve along with the needs of the family.”
Cloud-Nanny was able to take the solution from initial proof-of-concept through to a production-ready service in just 14 months. The company credits this rapid development cycle to its decision to build the solution on IBM Bluemix®.
“When we built the initial proof-of-concept for the Cloud-Nanny product, we used another hosting provider,” says Martijn Rooks. “It took us two months just to get the infrastructure set up and configured, before we could even begin the real development work. With IBM Cloud™, we were able to get up and running almost immediately. Once you have learned how the platform works, and how easy it is to bring different services together, you can put together a basic app in a couple of days.
“Building a product and bringing it to market in 14 months from end to end is something that would have been almost unthinkable a few years ago—and with such an advanced project, using state-of-the-art technologies like Spark, it’s especially impressive. In total, we estimate that getting a project up and running with Bluemix is at least 50 percent faster than with a more traditional software development environment.”
Ensuring a family-friendly online experience
Cloud-Nanny gives ChildRouter an edge over the competition by providing a smarter, more automated approach to web traffic filtering, and eliminating the tedious micromanagement that most current router-based filtering solutions require.
“With most solutions today, parents can only block specific sites, and they have to check each site manually to set up their own blacklists and whitelists,” says Martijn Rooks. “It’s far too time-consuming, and inevitably a lot of sites will slip through the cracks.
“With our service, all the parents need to do is choose which categories of sites their kids are allowed to see, and Cloud-Nanny will handle almost everything else. It only needs to check with parents when it is unsure about a particular site—and once the parents make a decision on that site, the model will learn and improve, and be better at classifying that type of site in the future.
“In short, Cloud-Nanny takes a job that would take hours for parents to do properly, and turns it into a matter of a few minutes per week. And at the same time, it’s a much more reliable and proactive solution, because it has a very high chance of blocking sites before children ever see them—instead of blocking them afterwards, once the damage is done.”
He concludes: “From a technical and a business point of view, the IBM technologies that we used to build this solution have made all the difference. The ability to create a production-ready product in less than a year, without massive development costs, means we can get to market faster. Looking at the bigger picture, ChildRouter means that families can keep their children safe online, without depriving them of all the beneficial education and entertainment that the web can provide.”
Cloud-Nanny is a company that manufactures and markets smart Internet routers that help parents monitor and manage their families’ Internet usage. Cloud-Nanny provides ChildRouter, a cloud-based traffic analytics solution that intelligently checks and classifies websites based on their content, helping to make smarter decisions about which sites to block.
Legal
© Copyright IBM Corporation 2017. IBM Software, Route 100, Somers, NY 10589. Produced in the United States of America, January 2017. IBM, the IBM logo, ibm.com, IBM Cloud™, and IBM DB2® on Cloud are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml. This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates. The performance data and client examples cited are presented for illustrative purposes only. Actual performance results may vary depending on specific configurations and operating conditions. THE INFORMATION IN THIS DOCUMENT IS PROVIDED “AS IS” WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON-INFRINGEMENT. IBM products are warranted according to the terms and conditions of the agreements under which they are provided.
