Hackers can steal PINs, passwords from your brainwaves: study

July 1, 2017

Washington, Jul 1: Hackers can guess a user's passwords by monitoring their thoughts, according to scientists including those of Indian origin who suggest that brainwave-sensing headsets need better security.brain

Electroencephalograph (EEG) headsets allow users to control robotic toys and video games with the mind.

Researchers at the University of Alabama at Birmingham in the US found that a person who paused a video game and logged into a bank account while wearing an EEG headset was at risk for having their passwords or other sensitive data stolen by a malicious software programme.

"These emerging devices open immense opportunities for everyday users," said Nitesh Saxena, associate professor from University of Alabama. "However, they could also raise significant security and privacy threats as companies work to develop even more advanced brain-computer interface technology," said Saxena.

The team, including PhD student Ajaya Neupane, used one EEG headset currently available to consumers online and one clinical-grade headset used for scientific research to demonstrate how easily a malicious software programme could passively eavesdrop on a user's brainwaves.

While typing, a user's inputs correspond with their visual processing, as well as hand, eye and head muscle movements. All these movements are captured by EEG headsets.

The team asked 12 people to type a series of randomly generated PINs and passwords into a text box as if they were logging into an online account while wearing an EEG headset, in order for the software to train itself on the user's typing and the corresponding brainwave.

"In a real-world attack, a hacker could facilitate the training step required for the malicious program to be most accurate, by requesting that the user enter a predefined set of numbers in order to restart the game after pausing it to take a break, similar to the way CAPTCHA is used to verify users when logging onto websites," Saxena said.

The team found that, after a user entered 200 characters, algorithms within the malicious software programme could make educated guesses about new characters the user entered by monitoring the EEG data recorded.

The algorithm was able to shorten the odds of a hacker's guessing a four-digit numerical PIN from one in 10,000 to one in 20 and increased the chance of guessing a six-letter password from about 500,000 to roughly one in 500.

"Given the growing popularity of EEG headsets and the variety of ways in which they could be used, it is inevitable that they will become part of our daily lives, including while using other devices," Saxena said.

"It is important to analyse the potential security and privacy risks associated with this emerging technology to raise users' awareness of the risks and develop viable solutions to malicious attacks," he said.

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Agencies
July 2,2020

Leiden, Jul 2: Astronomers have discovered a luminous galaxy caught in the act of reionizing its surrounding gas only 800 million years after the Big Bang.

The research, led by Romain Meyer, PhD student at UCL in London, UK, has been presented at the virtual annual meeting of the European Astronomical Society (EAS).

Studying the first galaxies that formed 13 billion years ago is essential to understanding our cosmic origins. One of the current hot topics in extragalactic astronomy is 'cosmic reionization,' the process in which the intergalactic gas was ionized (atoms stripped of their electrons).

Cosmic reionization is similar to an unsolved murder: We have clear evidence for it, but who did it, how and when? We now have strong evidence that hydrogen reionization was completed about 13 billion years ago, in the first billion years of the universe, with bubbles of ionized gas slowly growing and overlapping.

The objects capable of creating such ionized hydrogen bubbles have however remained mysterious until now: the discovery of a luminous galaxy in which 60-100 percent of ionizing photons escape, is likely responsible for ionizing its local bubble. This suggests the case is closer to being solved.

The two main suspects for cosmic reionization are usually 1) a population of numerous faint galaxies leaking ~10 percent of their energetic photons, and 2) an 'oligarchy' of luminous galaxies with a much larger percentage (>50 percent) of photons escaping each galaxy.

In either case, these first galaxies were very different from those today: galaxies in the local universe are very inefficient leakers, with only <2-3 percent of ionizing photons escaping their host. To understand which galaxies governed cosmic reionization, astronomers must measure the so-called escape fractions of galaxies in the reionization era.

The detection of light from excited hydrogen atoms (the so-called Lyman-alpha line) can be used to infer the fraction of escaping photons. On the one hand, such detections are rare because reionization-era galaxies are surrounded by neutral gas which absorbs that signature hydrogen emission.

On the other hand, if this hydrogen signal is detected it represents a 'smoking gun' for a large ionized bubble, meaning we have caught a galaxy reionizing its surroundings. The size of the bubble and the galaxy's luminosity determines whether it is solely responsible for creating this ionized bubble or if unseen accomplices are necessary.

The discovery of a luminous galaxy 800 million years after the Big Bang supports the scenario where an 'oligarchy' of bright leakers emits most of the ionizing photons.

"It is the first time we can point to an object responsible for creating an ionized bubble, without the need for a contribution from unseen galaxies.

Additional observations with the upcoming James Webb Space Telescope will enable us to study further what is likely one of the best suspects for the unsolved case of cosmic reionization," said Meyer.

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Agencies
July 11,2020

Citing the current dismal aviation scenario, Air India is terminating the services of trainee cabin crew and cabin crew by withdrawing the offer of employment of those who were under training.

As per sources, the new crew and trainee pilots might reduce contracts from five years to one year. Sources said Air India is terminating 1,200 crew and employees who are more than 55-yr-old including 190 trainee pilots.

In a letter reviewed by IANS, Air India has informed an applicant who had been selected as cabin crew in August 2019 subject to successful completion of training.

"On behalf of Air India we would like to thank you for the interest shown by you in joining our organization. However, in view of the current aviation scenario, it would not be possible for Air India to impart any further training to you for engaging your services," the company said.

"In view of the above reasons, which are beyond the control of the company, it has been decided to discontinue your training arrangements and dispense with the offer of engagement with immediate effect. The bank guarantee furnished by you at the time of joining is returned herewith," Air India told the cabin crew.

"Once again on behalf of Air India we thank you for your cooperation and trust that you will appreciate the circumstances under which we are constrained to discontinue the training arrangements," the carrier said.

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Agencies
January 10,2020

Indian enterprises were flooded with a whopping 14.6 crore malware threats in 2019 - a growth of 48 per cent (year-on-year) compared to 2018, a new report said on Friday.

Manufacturing, BFSI (banking, financial services and insurance), education, healthcare, IT/ITES, and the government were the most at-risk industries in the country, said the report from Seqrite, the enterprise arm of Pune-based IT security firm Quick Heal Technologies.

Interestingly, almost a quarter (23 per cent) of the threats were identified through 'Signatureless behaviour-based' detection by Seqrite, indicating how a growing number of cybercriminals were deploying new or previously unknown threat vectors to compromise enterprise security.

"With the latest Seqrite annual threat report, we want to empower CIOs, CISOs, business leaders and all key public stakeholders with the insights they need to combat the growing complexity of the threat landscape," said Sanjay Katkar, Joint Managing Director and CTO, Quick Heal Technologies.

The most prominent trend was the drastic increase in the volume, intensity, and sophistication of cyber-attack campaigns targeting Indian enterprises in 2019.

The rapid integration of IoT devices, BYOD (bring your own device), and third-party APIs into enterprise networks has created newer security vulnerabilities that might go unnoticed until a major breach occurs.

Threat researchers at Seqrite observed several large-scale advanced persistent threats (APT) attacks deployed against organisations in the government sector.

"The entry of nation-states and organised cybercrime cells into the fray is expected to add more complication to this situation and will require Indian government bodies and corporate enterprises to shore up their cyber defence strategies in 2020 and beyond," the report noted.

More alarming, however, was the continued lack of security awareness amongst enterprises and government organisations.

"Unsecured Remote Desktop Protocol (RDP) and Server Message Block (SMB) protocols continued to be targeted through brute-force attacks," said the report.

Spear phishing attack campaigns leveraging Office exploits and infected macros were also used extensively by cybercriminals to gain access to enterprise networks and steal critical data.

"India's digital journey depends on ensuring robust cybersecurity for all stakeholders within the enterprise ecosystem," said Katkar.

The sharp spike should be a cause of concern for CIOs and CISOs in the country, especially given the growing digital penetration within their enterprise networks.

"With network vulnerabilities and potential entry points increasing at a rapid pace, threat actors are expected to leverage artificial intelligence (AI) capabilities to power their malware campaigns in the future to capitalise on newer attack vectors," the report added.

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