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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.

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.

Twitter has joined efforts to do away with racially loaded terms such as master, slave and blacklist from its coding language in the wake of the death of African-American George Floyd and ensuing Black Lives Matter protests.

The project started even before the current movement for racial justice escalated following the death of 46-year-old George Floyd in police custody in May.

The use of terms such as "master" and "slave" in programming language originated decades ago. While "master" is used to refer to the primary version of a code, "slave" refers to the replicas. Similarly, the term "Blacklist" is used to refer to items which are meant to be automatically denied.

The efforts to change these terms in favour of more inclusive language at Twitter were initiated by Regynald Augustin and Kevin Oliver and the microblogging platform is now backing their efforts.

"Inclusive language plays a critical role in fostering an environment where everyone belongs. At Twitter, the language we have been using in our code does not reflect our values as a company or represent the people we serve. We want to change that. #WordsMatter," Twitter's engineering team said in a post on Thursday.

As per the recommendations from the team, the term "whitelist" could be replaced by "allowlist" and "blacklist" by "denylist".

Similarly, "master/slave" could be replaced by "leader/follower", "primary/replica" or "primary/standby".

Twitter, however, is not the first to start a project to bring inclusivity in programming language.

According to a report in CNET, the team behind the Drupal online publishing software started using "primary/replica" in place of "master/slave" as early as in 2014.

The use of the terms "master/slave" was also dropped by developers of the Python programming language in 2018.

Now similar efforts are underway at Microsoft's Github and LinkedIn divisions as well, said the report.