Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

Full Bio 
Follow on

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

3 Best Programming Languages For Internet of Things Development In 2018
318 days ago

Data science is the big draw in business schools
491 days ago

7 Effective Methods for Fitting a Liner
501 days ago

3 Thoughts on Why Deep Learning Works So Well
501 days ago

3 million at risk from the rise of robots
501 days ago

Top 10 Hot Artificial Intelligence (AI) Technologies
308955 views

Here's why so many data scientists are leaving their jobs
80439 views

2018 Data Science Interview Questions for Top Tech Companies
75477 views

Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning
75468 views

Google announces scholarship program to train 1.3 lakh Indian developers in emerging technologies
61038 views

Google's cleaning up the Play Store, using machine learning to remove 700,000 bad apps

By Nand Kishor |Email | Jan 31, 2018 | 7872 Views

Earlier this month, Google removed some 60 games from the Play Store after it was uncovered that the so-called Adult Swine bug was delivering inappropriate and malicious ads to kids. According to Google, thatâ??s just a drop in the bucket compared to the 700,000 it booted from the Play Store in 2017.

In a blog post titled, "How we fought bad apps and malicious developers in 2017," Google spotlights the numerous ways it has stayed ahead of bad Play Store Apps over the past 12 months. In addition to the 700,000 apps it took down in 2017-a 70-percent increase over 2016â??s numbers-Google also says it was able to identify and root them out much quicker: The company boasts that 99 percent of apps "with abusive contents" were tossed from the Play Store before anyone could install them. Google also says it has developed new detection techniques to weed out repeat offenders and identify "abusive developer networks at scale" to stop them from simply submitting another set of bad apps.

According to Google, the biggest reason for the jump in removed applications was machine learning. Google used its AI-powered engine to help "detect abusive app content and behaviors-such as impersonation, inappropriate content, or malware" which then helped the human reviewers detect problematic apps. Among the apps that were removed were:

Copycats: Apps that attempt to deceive users by emulating a popular app. Google says more than 250,000 of the 700,000 targeted apps were copycats.

Inappropriate content: Apps that promote pornography, extreme violence, hate, and illegal activities.
Potentially Harmful Applications: Apps that can harm your device, including phishing and fraudulent apps. Google says PHAs are "small in volume" in the Play Store mostly due to provisions that are already in place. For example, the launch of Google Play Protect "reduced the rate of PHA installs by an order of magnitude compared to 2016."

However, Google admits there is more work to be done, as evidenced by the Adult Swine bug: "Despite the new and enhanced detection capabilities that led to a record-high takedowns of bad apps and malicious developers, we know a few still manage to evade and trick our layers of defense."

The impact on you at home: Google developed a bad reputation over the years for being too lenient with its App Store review policies, and the company has worked hard to shake that image. Particularly, its claim that 99 percent of malicious and fraudulent apps were zapped before anyone could install them is impressive, though for affected users, even 1 percent is too high. However, the bigger issue here is protection against apps that aren't downloaded through the Play Store. The vast majority of Android malware is contracted via third-party app stores and side-loaded apps, a much harder area for Google to police, even with the help of machine learning.

Source: PCworld