This 'black box' chip in devices can frustrate hackers
New York, May 14: 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.
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.
"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.
"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.
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BJP worker’s 16-year-old son allegedly casts eight votes in Uttar Pradesh’s Farrukhabad; Video viral
Lucknow (Farrukhabad): A viral video has surfaced showing a 16-year-old son of a BJP worker allegedly casting eight votes to the saffron party during the ongoing general elections in Uttar Pradesh. The video has sparked controversy, and the opposition has urged for prompt action from the Election Commission of India, reports scroll.in.
The video shared by the Samajwadi Party President Akhilesh Yadav on micro-blogging site ‘X’, showed the youngster recording himself while casting multiple times in a series of instances. The incident reportedly took place in Khiri Pamaran village, which falls under the Aliganj Assembly constituency within the Farrukhabad parliamentary seat. Mukesh Rajput, the sitting MP, is the BJP candidate in this constituency. Polling in Farrukhabad occurred on May 13 during the fourth phase of the general election.
In the viral video, the youngster is seen casting eight votes in total, all for the BJP, one by one with different clippings.
The youngster in the video has been identified as Rajan Singh Thakur, confirmed his father, Anil Singh Thakur to the Scroll.in. Anil Singh Thakur is the gram pradhan (village head) of Khiri Pamaran and a member of the BJP.
Anil defending his son told the Scroll that the ‘Video misrepresented his son,’ and claimed that the voting was done when the machine was being tested in some instances and other clipping of him voting on behalf of mentally and physically disabled voters was merged and made into a video.
Despite the Anil's caims, the video has drawn significant criticism. Subhash Chandra Prajapati, the additional district magistrate of Farrukhabad, confirmed to the Scroll that the administration will file a case soon. He mentioned that the returning officer is investigating the matter following a directive from the chief electoral officer in Lucknow.
The opposition has been vocal in its criticism, with Akhilesh Yadav demanding action from the Election Commission. In his social media post, Yadav accused the BJP of undermining the electoral process and described the party's booth committee as a "loot committee." The Congress party also called on the Election Commission to take action, in a ‘X’ post the party wrote, “Dear Election Commission…are you watching..a boy is voting 8-8 times ... .at least wake up now.”
Congress leader Rahul Gandhi, took to ‘X’ to express, “Fearing and seeing their defeat, the BJP is attempting to undermine democracy by pressuring government machinery to deny the mandate. The Congress expects all officers performing election duties to remember their constitutional responsibilities despite any pressure from those in power. Otherwise, once the Indian National Developmental Inclusive Alliance (INDIA) bloc government is formed, actions will be taken to ensure that anyone will think ten times before violating their 'Oath to the Constitution'."
Following the video's circulation, Naval Kishor Shakya, the Samajwadi Party candidate in Farrukhabad, filed a complaint with the district election officer. Shakya's complaint alleges that Rajan Singh Thakur cast votes after snatching voter information slips from other voters and that he was assisted by Dinesh Thakur, the local police station's station house officer. Shakya has called for re-polling at the affected polling center.
In a related incident earlier in May, Gujarat Police arrested two BJP workers for allegedly casting bogus votes and live-streaming the act on social media in the Dahod constituency. The Election Commission conducted re-polling at the affected booth following the incident.
The opposition INDIA bloc, including the Congress and the Samajwadi Party, has repeatedly accused the Election Commission of failing to take prompt action against election model code of conduct violations.
अपनी हार सामने देख कर भाजपा जनादेश को झुठलाने के लिए सरकारी तंत्र पर दबाव बना कर लोकतंत्र को लूटना चाहती है।
— Rahul Gandhi (@RahulGandhi) May 19, 2024
कांग्रेस चुनावी ड्यूटी कर रहे सभी अधिकारियों से यह अपेक्षा करती है कि वो सत्ता के दबाव के सामने अपनी संवैधानिक ज़िम्मेदारी न भूलें।
वरना INDIA की सरकार बनते ही ऐसी… https://t.co/fk4wXL8QZy
