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Apple's plan to scan US iPhones for child abuse raises concern

AP/Washington
Filed on August 5, 2021
Alamy

Security researchers say system could be misused by governments looking to surveil citizens.


Apple is planning to scan US iPhones for images of child abuse, drawing applause from child protection groups but raising concern among some security researchers that the system could be misused by governments looking to surveil their citizens.

Apple said its messaging app will use on-device machine learning to warn about sensitive content without making private communications readable by the company. The tool Apple calls “neuralMatch” will detect known images of child abuse without decrypting people’s messages. If it finds a match, the image will be reviewed by a human who can notify law enforcement if necessary.

But researchers say the tool could be put to other purposes such as government surveillance of dissidents or protesters.

Matthew Green of Johns Hopkins, a top cryptography researcher, was concerned that it could be used to frame innocent people by sending them harmless but malicious images designed designed to appear as matches for child abuse, fooling Apple’s algorithm and alerting law enforcement — essentially framing people.

“This is a thing that you can do,” said Green. “Researchers have been able to do this pretty easily.”

Tech companies including Microsoft, Google, Facebook and others have for years been sharing “hash lists” of known images of child abuse. Apple has also been scanning user files stored in its iCloud service, which is not as securely encrypted as its messages, for such images.

The company has been under pressure from governments and law enforcement to allow for surveillance of encrypted data. Coming up with the security measures required Apple to perform a delicate balancing act between cracking down on the exploitation of children while keeping its high-profile commitment to protecting the privacy of its users.

Apple believes it pulled off that feat with technology that it developed in consultation with several prominent cryptographers, including Stanford University professor Dan Boneh, whose work in the field has won a Turing Award, often called technology’s version of the Nobel Prize.





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