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Kochi, May 22: During the nationwide COVID-19 lockdown, Kerala recorded the highest number of cyber attacks followed by Punjab and Tamil Nadu, a study by anti-virus software firm K7 Computing said on Thursday.

In a statement issued in Chennai, the company said its K7 Computing's Cyber Threat Report, a comprehensive analysis of cyber attacks during the lockdown has found that Kerala recorded the highest number of cyber attacks during this period. The report analyses various cyber attacks within India during the pandemic and reveals that threat actors targeted the state with COVID-themed attacks aimed at exploiting user trust.

In Kerala, regions like Kottayam, Kannur, Kollam, and Kochi saw the highest hits with 462, 374, 236, and 147 attacks respectively, while the state as a whole saw around 2,000 attacks during the period - the highest thus far in the country.

This was followed by Punjab with 207 attacks and Tamil Nadu with 184 attacks, the company said.

The sudden surge in the frequency of attacks witnessed from February 2020 to mid-April 2020 indicates that scamsters across the world were exploiting the widespread panic around coronavirus at both the individual and corporate level.

These attacks aimed to compromise computers and mobile devices to gain access to users' confidential data, banking details, and cryptocurrency accounts.

The key threats seen during this period ranged from phishing attacks to rogue apps disguised as COVID-19 information apps that targeted users' sensitive data. Phishing attacks were noticed more in Tier-II and Tier-III cities while the metros fared better. Smaller cities saw over 250 attacks being blocked per 10,000 users.

Users from Ghaziabad and Lucknow seem to have faced almost 6 and 4 times the number of attacks as Bengaluru users.

According to the statement, a majority of the recorded attacks were phishing attacks with sophisticated campaigns that could easily snare even the most educated users. These attacks were aimed at heightening users' fears and creating a sense of urgency to take action.

K7 Labs noticed phishing attacks where scamsters posed as representatives of the United States Department of Treasury, the World Health Organization (WHO), and the Centres for Disease Control and Prevention (CDC), the company said.

Users were encouraged to visit links that would automatically download malware on the host computer such as the Agent Tesla keylogger or Lokibot information-stealing malware, infamous banking Trojans such as Trickbot or Zeus Sphinx, and even disastrous ransomware.

Other attacks included infected COVID-19 Android apps like CoronaSafetyMask that scam users with promises of masks for an upfront payment; the spyware app Project Spy; and seemingly genuine apps that are infected with dangerous malware like banking Trojans such as Ginp, Anubis and Cerberus.

"Covid-19 has created an ideal situation for various threat actors to target individuals and enterprises alike. The panic caused by the stringent lockdown measures and rapid spread of this virus has left many people looking for more information on the situation," J. Kesavardhanan, Founder and CEO of K7 Computing was quoted as saying in the statement.

"Threat actors exploit this fear to their advantage and scam users into downloading malicious software and divulging sensitive information like banking codes. The need to be cyber cautious has never been greater. This is more so in the case of corporates who have adopted a work from home policy hurriedly without adequate cyber hygiene. We have seen an increase in attacks on enterprises and SME employees as well," he added.

Such attacks are expected to continue till normalcy returns. Social engineering attacks targeted at winning users' trust will gain momentum.

Healthcare institutions, well-known government offices, and international organisations will continue to be a prime target throughout the pandemic, the statement said.

Washington, Jan 7: Facebook will ban deepfake videos ahead of the US elections but the new policy will still allow heavily edited clips so long as they are parody or satire, the social media giant said Tuesday.

Deepfake videos are hyper-realistic doctored clips made using artificial intelligence or programs that have been designed to accurately fake real human movements.

In a blog published following a Washington Post report, Facebook said it would begin removing clips that were edited--beyond for clarity and quality--in ways that "aren't apparent to an average person" and could mislead people.

Clips would be removed if they were "the product of artificial intelligence or machine learning that merges, replaces or superimposes content onto a video, making it appear to be authentic," the statement from Facebook vice-president Monika Bickert said.

However, the statement added: "This policy does not extend to content that is parody or satire, or video that has been edited solely to omit or change the order of words."

US media noted the new guidelines would not cover videos such as the 2019 viral clip -- which was not a deepfake -- of House Speaker Nancy Pelosi that appeared to show her slurring her words.

Facebook also gave no indication on the number of people assigned to identify and take down the offending videos, but said videos failing to meet its usual guidelines would be removed, and those flagged clips would be reviewed by teams of third-party fact-checkers -- among them AFP.

The news agency has been paid by the social media giant to fact-check posts across 30 countries and 10 languages as part of a program starting in December 2016, and including more than 60 organisations.

Content labeled "false" is not always removed from newsfeeds but is downgraded so fewer people see it -- alongside a warning explaining why the post is misleading.

Melbourne, Jul 24: Home-made cloth face masks may need a minimum of two layers, and preferably three, to prevent the dispersal of viral droplets associated with Covid-19, according to a study.

Researchers, including those from the University of New South Wales in Australia, noted that viral droplets are generated by those infected with the novel coronavirus when they cough, sneeze, or speak.

As face masks have been proven to protect healthy people from inhaling infectious droplets as well as reducing the spread from those who are already infected, several types of material have been suggested for these, but based on little or no evidence of how well they work, the scientists said.

In the current study, published in the journal Thorax, the researchers compared the effectiveness of single and double-layer cloth face coverings with a surgical face mask (Bao Thach) at reducing droplet spread.

They said the single layer covering was made from a folded piece of cotton T shirt and hair ties, and the double layer covering was made using the sew method described by the US Centers for Disease Control and Prevention (CDC).

The scientists used a tailored LED lighting system and a high-speed camera to film the dispersal of airborne droplets produced by a healthy person with no respiratory infection, during speaking, coughing, and sneezing while wearing each type of mask.

Their analysis showed that the surgical face mask was the most effective at reducing airborne droplet dispersal, although even a single layer cloth face covering reduced the droplet spread from speaking.

But the study noted that a double layer covering was better than a single layer in reducing the droplet spread from coughing and sneezing.

According to the researchers, the effectiveness of cloth face masks is dependent on the number of layers of the covering, the type of material used, design, fit as well as the frequency of washing.

Based on their observations, they said a home made cloth mask with at least two layers is preferable to a single layer mask.

"Guidelines on home-made cloth masks should stipulate multiple layers," the scientists said, adding that there is a need for more research to inform safer cloth mask design.