Last week, at the Paris Hotel Convention Center in Las Vegas, the famous astrophysicist Hakeem Oluseyi was hosting a real-time cyber security competition. What's special about it was that the main part of the competition was not humans but robots. . The competition was organized by DARPA (US Defense Advanced Research Projects Agency). On Thursday, the competition entered the final stage, and seven finalists will compete for a $2 million prize. From the short-listed players from university researchers to the world’s largest defense companies, the online experts competed in the competition. During this time, the research team needed to create seven "automatic attack systems." The purpose of this is to experimentally explore software programs for intrusion, patching, and network defense in the absence of intervention.
After 10 hours and 95 rounds of fierce competition, DARPA announced that the Mayhem “Automatic Attack System†created by Carnegie Mellon University ForAllSecure team won the competition and won the championship. The runner-up was Xandra for the TECHx team at the University of Virginia and the second runner-up was Mechanical Phish for the student team Shellphish.
After the game, the champion robot Mayhem will participate in the annual DEF CON and compete with humans. Although no one wants the robot to win the game, this game can make the robot solve some bugs faster than humans.
DARPA hopes that this competition will enable developers to get closer to software repair robots and build more powerful robots than humans to find bugs, write exploits, and deploy patches. DARPA said that it is necessary to find loopholes through millions of lines of code because it can help strengthen infrastructures such as power lines and water treatment plants to deal with cyber attacks and protect privacy.
However, no system is currently available. Many security experts are constantly scanning the code to find potential problems. Hakeem Oluseyi said: On average, experts need 312 days to find a network vulnerability. It takes months or years to fix it.
During the game, the team did not know which bugs to face, so their robots must identify bugs, constantly test to identify bugs, find patches that do not slow down the computer, and use it.
To test the limits of these cybersecurity robots, DARPA designed a variety of bugs, including simplified versions of some well-known malware such as the Morris worm and Heartbleed. The performance evaluation criteria for this competition include the rapid and effective use of patches and confirmation of competitors' patches. If robots use patches that reduce the speed of use of the software, points will be deducted. Corbin Souffrant, a network engineer at Raytheon Corporation, said: "If you find a bug, but it takes 10 hours to run an original 5 minutes of software, then Bug repair will become meaningless."
The participating team Deep Red described the five steps for the system to complete the task:
The robot uses a technique called fuzzing to overload the program, causing bugs to appear.
The robot scans the results found in 1 to determine the loopholes in the program.
Look for patches in the database.
Apply patches.
Analyze the results to see if they are effective for program repair.
Each of these steps uses AI technology to compare multiple solutions and predict how it will be used in similar situations in the future.
At the game site, multiple robots found and fixed a SQL vulnerability within 5 minutes, but only two teams were able to fix a bug in SendMail. In addition, Xandra created by the TECHx team found a bug that the organizers did not find.
With the rapid development of the Internet, humans are increasingly exposed to cyber threats. When human network experts racked their brains to repair bugs, they did not know that this robotic skill has surpassed humanity. In short, no matter if it is a robot restoration expert or a human restoration expert, as long as people can better repair Bug, humans will be safer and the world will be better.
Via:IEEE
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