New hardware to make data encryption on cloud computing safer developed
Cambridge: Invention of a new technology in the hardware is going to make data encryption more secure on the Internet, a new study has revealed.
According to the study conducted by MIT researchers found that cloud computing, a process of outsourcing computational tasks over the Internet, could give home-computer users unprecedented processing power and let small companies launch sophisticated Web services without building massive server farms.
However, it also raises privacy concerns. A bank of cloud servers could be running applications for 1,000 customers at once; unbeknownst to the hosting service, one of those applications might have no purpose other than spying on the other 999.
Encryption could make cloud servers more secure. Only when the data is actually being processed would it be decrypted; the results of any computations would be re-encrypted before they're sent off-chip.
In the last 10 years or so, however, it's become clear that even when a computer is handling encrypted data, its memory-access patterns, the frequency with which it stores and accesses data at different memory addresses, can betray a shocking amount of private information.
The researchers described a new type of secure hardware component, dubbed Ascend, that would disguise a server's memory-access patterns, making it impossible for an attacker to infer anything about the data being stored. Ascend also thwarts another type of attack, known as a timing attack, which attempts to infer information from the amount of time that computations take.
"This is the first time that any hardware design has been proposed that would give you this level of security while only having about a factor of three or four overhead in performance," says Srini Devadas, the Edwin Sibley Webster Professor of Electrical Engineering and Computer Science, whose group developed the new system. "People would have thought it would be a factor of 100."
The "trivial way" of obscuring memory-access patterns, Devadas explains, would be to request data from every address in the memory, whether a memory chip or a hard drive, and throw out everything except the data stored at the one address of interest. But that would be much too time-consuming to be practical.
With Ascend, addresses are assigned to nodes randomly. Every node lies along some "path," or route through the tree, that starts at the top and passes from node to node, without backtracking, until arriving at a node with no further connections. When the processor requires data from a particular address, it sends requests to all the addresses in a path that includes the one it's really after.
To prevent an attacker from inferring anything from sequences of memory access, every time Ascend accesses a particular memory address, it randomly swaps that address with one stored somewhere else in the tree. As a consequence, accessing a single address multiple times will very rarely require traversing the same path.
By confining its dummy requests to a single path, rather than sending them to every address in memory, Ascend exponentially reduces the amount of computation required to disguise an address. In a separate paper, which is as-yet unpublished but has been posted online, the researchers prove that querying paths provides just as much security as querying every address in memory would.
Spyware in the cloud could still deduce what public photos it was being compared to. And the time the comparisons take could indicate something about the source photos.
So Ascend's memory-access scheme has one final wrinkle. It sends requests to memory at regular intervals, even when the processor is busy and requires no new data. That way, attackers can't tell how long any given computation is taking.
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