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Black Box: A Chip That Makes Hacking Impossible

In an era of Machine Learning (ML)-enabled hacking, in which Artificial Intelligence (AI) technology is trained to "learn" and model inputs and outputs, a new chip-based technology termed as a "black box" can thwart hackers' plans, say researchers.

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cyber attacks
Due to its nature, the chip is physically unclonable and can, thus, render the device invulnerable to hijacking, counterfeiting or replication by cyber-criminals. Pixabay

In an era of Machine Learning (ML)-enabled hacking, in which Artificial Intelligence (AI) technology is trained to “learn” and model inputs and outputs, a new chip-based technology termed as a “black box” can thwart hackers’ plans, say researchers.

According to Computer Science Professor Dmitri Strukov from the University of California-Santa Barbara, he and his team were looking to put an extra layer of security on devices.

The result is a chip that deploys “ionic memristor” technology.

Key to this technology is the memristor, or memory resistor — an electrical resistance switch that can “remember” its state of resistance based on its history of applied voltage and current.

With ML, an attacker doesn't even need to know what exactly is occurring as the computer is trained on a series of inputs and outputs of a system
Due to its nature, the chip is physically unclonable and can, thus, render the device invulnerable to hijacking, counterfeiting or replication by cyber-criminals. pixabay

A circuit made of memristors results in a “black box” of sorts, as Strukov called it, with outputs extremely difficult to predict based on the inputs.

“You can think of it as a black box. Due to its nature, the chip is physically unclonable and can, thus, render the device invulnerable to hijacking, counterfeiting or replication by cyber-criminals,” said Strukov in a paper which appeared in the journal Nature Electronics.

With ML, an attacker doesn’t even need to know what exactly is occurring as the computer is trained on a series of inputs and outputs of a system.

Due to its nature, the chip is physically unclonable and can, thus, render the device invulnerable to hijacking, counterfeiting or replication by cyber-criminals
Representational image. Pixabay

“For instance, if you have 2 million outputs and the attacker sees 10,000 or 20,000 of these outputs, he can, based on that, train a model that can copy the system afterwards,” said Hussein Nili, the paper’s lead author.

The “memristive black box” can circumvent this method of attack because it makes the relationship between inputs and outputs look random enough to the outside world even as the circuits’ internal mechanisms are repeatable enough to be reliable.

Also Read: Motorola Foldable Phone Concept Opens up Into a Tablet

“If we scale it a little bit further, it’s going to be hardware which could be, in many metrics, the state-of-the-art,” Strukov noted. (IANS)

Next Story

FBI-Affiliated Portals Information Made Public by Hackers

The hackers "exploited flaws on at least three of the organisation's chapter websites - which we're not naming - and downloaded the contents of each web server," the report said.

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The hackers "exploited flaws on at least three of the organisation's chapter websites - which we're not naming - and downloaded the contents of each web server," the report said. Pixabay

A group of hackers has broken into several FBI-affiliated portals and uploaded the contents online that contained personal information of federal agents and law enforcement officers.

According to a TechCrunch report late Friday, the hackers breached three websites associated with the FBI National Academy Association located at the FBI training academy in Quantico, Virginia.

hacking

The hackers, whose identity is still unknown whether they are an independent group or nation-state actors, used public exploits, indicating that “many of the websites they hit weren’t up-to-date and had outdated plugins”. Pixabay

The hackers “exploited flaws on at least three of the organisation’s chapter websites – which we’re not naming – and downloaded the contents of each web server,” the report said.

The hacker claimed to have “over a million data” on employees across several federal agencies and public service organisations in the US.

They also put the data up for download on their own website.

hacking
The data contains member names, a mix of personal and government email addresses, job titles, phone numbers and postal addresses. Pixabay

“We hacked more than 1,000 sites. Now we are structuring all the data, and soon they will be sold. I think something else will publish from the list of hacked government sites,” a hacker told TechCrunch.

The data contains member names, a mix of personal and government email addresses, job titles, phone numbers and postal addresses.

Also Read: Facebook Messages Inscribed on Internal Components Through Virtual Reality

The hackers, whose identity is still unknown whether they are an independent group or nation-state actors, used public exploits, indicating that “many of the websites they hit weren’t up-to-date and had outdated plugins”.

The FBI was yet to speak on the incident. (IANS)