Security Blog
The latest news and insights from Google on security and safety on the Internet
Keeping 2 billion Android devices safe with machine learning
2018年5月24日
Posted by Sai Deep Tetali, Software Engineer, Google Play Protect
[Cross-posted from the
Android Developers Blog
]
At Google I/O 2017, we introduced
Google Play Protect
, our comprehensive set of security services for Android. While the name is new, the smarts powering Play Protect have protected Android users for years.
Google Play Protect's suite of mobile threat protections are built into more than 2 billion Android devices, automatically taking action in the background. We're constantly updating these protections so you don't have to think about security: it just happens. Our protections have been made even smarter by adding machine learning elements to Google Play Protect.
Security at scale
Google Play Protect provides in-the-moment protection from potentially harmful apps (PHAs), but Google's protections start earlier.
Before they're published in Google Play, all apps are rigorously analyzed by our security systems and Android security experts. Thanks to this process, Android devices that only download apps from Google Play are 9 times less likely to get a PHA than devices that download apps from other sources.
After you install an app, Google Play Protect continues its quest to keep your device safe by regularly scanning your device to make sure all apps are behaving properly. If it finds an app that is misbehaving, Google Play Protect either notifies you, or simply removes the harmful app to keep your device safe.
Our systems scan over 50 billion apps every day. To keep on the cutting edge of security, we look for new risks in a variety of ways, such as identifying specific code paths that signify bad behavior, investigating behavior patterns to correlate bad apps, and reviewing possible PHAs with our security experts.
In 2016, we added machine learning as a new detection mechanism and it soon became a critical part of our systems and tools.
Training our machines
In the most basic terms, machine learning means training a computer algorithm to recognize a behavior. To train the algorithm, we give it hundreds of thousands of examples of that behavior.
In the case of Google Play Protect, we are developing algorithms that learn which apps are "potentially harmful" and which are "safe." To learn about PHAs, the machine learning algorithms analyze our entire catalog of applications. Then our algorithms look at hundreds of signals combined with anonymized data to compare app behavior across the Android ecosystem to find PHAs. They look for behavior common to PHAs, such as apps that attempt to interact with other apps on the device, access or share your personal data, download something without your knowledge, connect to phishing websites, or bypass built-in security features.
When we find apps exhibit similar
malicious behavior
, we group them into families. Visualizing these PHA families helps us uncover apps that share similarities to known bad apps, but have yet remained under our radar.
After we identify a new PHA, we confirm our findings with expert security reviews. If the app in question is a PHA, Google Play Protect takes action on the app and then we feed information about that PHA back into our algorithms to help find more PHAs.
Doubling down on security
So far, our machine learning systems have successfully detected 60.3% of the malware identified by Google Play Protect in 2017.
In 2018, we're devoting a massive amount of computing power and talent to create, maintain and improve these machine learning algorithms. We're constantly leveraging artificial intelligence and our highly skilled researchers and engineers from all across Google to find new ways to keep Android devices safe and secure. In addition to our talented team, we work with the foremost
security experts and researchers
from around the world. These researchers contribute even more data and insights to keep Google Play Protect on the cutting edge of mobile security.
To check out Google Play Protect, open the Google Play app and tap
Play Protect
in the left panel.
Acknowledgements: This work was developed in joint collaboration with Google Play Protect, Safe Browsing and Play Abuse teams with contributions from Andrew Ahn, Hrishikesh Aradhye, Daniel Bali, Hongji Bao, Yajie Hu, Arthur Kaiser, Elena Kovakina, Salvador Mandujano, Melinda Miller, Rahul Mishra, Damien Octeau, Sebastian Porst, Chuangang Ren, Monirul Sharif, Sri Somanchi, Sai Deep Tetali, Zhikun Wang, and Mo Yu.
Google CTF 2018 is here
2018年5月9日
Posted by Jan Keller, Security TPM
Google CTF 2017
was a big success! We had over 5,000 players, nearly 2,000 teams captured flags, we paid $31,1337.00, and most importantly: you had fun playing and we had fun hosting!
Congratulations (for the second year) to the team pasten, from Israel, for scoring first place in both the quals and the finals. Also, for everyone who hasn’t played yet or wants to play again, we have open-sourced the 2017 challenges in our GitHub
repository
.
Hence, we are excited to announce Google CTF 2018:
Date and time: 00:00:01 UTC on June 23th and 24th, 2018
Location:
Online
Prizes:
Big checks
, swag and rewards for creative
write-ups
The winning teams will compete again for a spot at the Google CTF Finals later this year (more details on the Finals soon).
For beginners and veterans alike
Based on the feedback we received, we plan to have additional challenges this year where people that may be new to CTFs or security can learn about, and try their hands at, some security challenges. These will be presented in a “Quest” style where there will be a scenario similar to a real world penetration testing environment. We hope that this will give people a chance to sharpen their skills, learn something new about CTFs and security, while allowing them to see a real world value to information security and its broader impact.
We hope to virtually see you at the 3rd annual Google CTF on June 23rd 2018 at 00:00:01 UTC. Check
g.co/ctf
, or
subscribe to our mailing list
for more details, as they become available.
Why do we host these competitions?
We outlined our
philosophy
last year, but in short: we believe that the security community helps us better protect Google users, and so we want to nurture the community and give back in a fun way.
Thirsty for more?
There are a lot of opportunities for you to help us make the Internet a safer place:
Our
Vulnerability Rewards Program
: Report vulnerabilities in our infrastructure and get rewarded
(
AutoFuzz
)
Patch Rewards Program
: Fix vulnerabilities in open-source software to build your reputation and make an impact in the security community
Vulnerability Research Grants Program
: Apply for a research grant to extensively test a component of our infrastructure at your own pace.
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