Forwarded from BlackBox (Security) Archiv
EU-funded COVID-19 app ‘listens to voices and coughs’
A recently launched EU-funded mobile application records users’ breathing and coughing to diagnose cases of COVID-19, scientists involved in the project have said.
The initiative, which has been developed by researchers at Cambridge University and partially funded by the European Research Council through Project EAR, aims to build up a large, crowdsourced dataset in order to develop machine learning algorithms to be used in automatic disease detection.
It will collect demographic and medical information from users, in addition to “spoken voice samples, breathing and coughing samples through the phone’s microphone.”
In an attempt to allay privacy fears, researchers say that the app will collect ‘one coarse grain location sample’ but that it would not track users, only recording location data once when are actively using the software.
“The data will be stored on University servers and be used solely for research purposes,” the university added.
“There are very few large datasets of respiratory sounds, so to make better algorithms that could be used for early detection, we need as many samples from as many participants as we can get,” said Professor Cecilia Mascolo from Cambridge’s Department of Computer Science and Technology, the lead team on the app.
“Even if we don’t get many positive cases of coronavirus, we could find links with other health conditions.”
👉🏼 Read more:
https://www.euractiv.com/section/digital/news/eu-funded-covid-19-app-listens-to-voices-and-coughs/
#coronavirus #eu #tracing #tracking #app #privacy #surveillance
📡@cRyPtHoN_INFOSEC_DE
📡@cRyPtHoN_INFOSEC_EN
📡@BlackBox_Archiv
A recently launched EU-funded mobile application records users’ breathing and coughing to diagnose cases of COVID-19, scientists involved in the project have said.
The initiative, which has been developed by researchers at Cambridge University and partially funded by the European Research Council through Project EAR, aims to build up a large, crowdsourced dataset in order to develop machine learning algorithms to be used in automatic disease detection.
It will collect demographic and medical information from users, in addition to “spoken voice samples, breathing and coughing samples through the phone’s microphone.”
In an attempt to allay privacy fears, researchers say that the app will collect ‘one coarse grain location sample’ but that it would not track users, only recording location data once when are actively using the software.
“The data will be stored on University servers and be used solely for research purposes,” the university added.
“There are very few large datasets of respiratory sounds, so to make better algorithms that could be used for early detection, we need as many samples from as many participants as we can get,” said Professor Cecilia Mascolo from Cambridge’s Department of Computer Science and Technology, the lead team on the app.
“Even if we don’t get many positive cases of coronavirus, we could find links with other health conditions.”
👉🏼 Read more:
https://www.euractiv.com/section/digital/news/eu-funded-covid-19-app-listens-to-voices-and-coughs/
#coronavirus #eu #tracing #tracking #app #privacy #surveillance
📡@cRyPtHoN_INFOSEC_DE
📡@cRyPtHoN_INFOSEC_EN
📡@BlackBox_Archiv
EURACTIV
EU-funded COVID-19 app ‘listens to voices and coughs’
A recently launched EU-funded mobile application records users' breathing and coughing to diagnose cases of COVID-19, scientists involved in the project have said.
Forwarded from BlackBox (Security) Archiv
U.S. Secret Service: “Massive Fraud” Against State Unemployment Insurance Programs
A well-organized Nigerian crime ring is exploiting the COVID-19 crisis by committing large-scale fraud against multiple state unemployment insurance programs, with potential losses in the hundreds of millions of dollars, according to a new alert issued by the U.S. Secret Service.
A memo seen by KrebsOnSecurity that the Secret Service circulated to field offices around the United States on Thursday says the ring has been filing unemployment claims in different states using Social Security numbers and other personally identifiable information (PII) belonging to identity theft victims, and that “a substantial amount of the fraudulent benefits submitted have used PII from first responders, government personnel and school employees.”
“It is assumed the fraud ring behind this possesses a substantial PII database to submit the volume of applications observed thus far,” the Secret Service warned. “The primary state targeted so far is Washington, although there is also evidence of attacks in North Carolina, Massachusetts, Rhode Island, Oklahoma, Wyoming and Florida.”
The Secret Service said the fraud network is believed to consist of hundred of “mules,” a term used to describe willing or unwitting individuals who are recruited to help launder the proceeds of fraudulent financial transactions.
“In the state of Washington, individuals residing out-of-state are receiving multiple ACH deposits from the State of Washington Unemployment Benefits Program, all in different individuals’ names with no connection to the account holder,” the notice continues.
👉🏼 Read more:
https://krebsonsecurity.com/2020/05/u-s-secret-service-massive-fraud-against-state-unemployment-insurance-programs/
#USA #SecretService #alert #nigerian #fraud #coronavirus
📡@cRyPtHoN_INFOSEC_DE
📡@cRyPtHoN_INFOSEC_EN
📡@BlackBox_Archiv
A well-organized Nigerian crime ring is exploiting the COVID-19 crisis by committing large-scale fraud against multiple state unemployment insurance programs, with potential losses in the hundreds of millions of dollars, according to a new alert issued by the U.S. Secret Service.
A memo seen by KrebsOnSecurity that the Secret Service circulated to field offices around the United States on Thursday says the ring has been filing unemployment claims in different states using Social Security numbers and other personally identifiable information (PII) belonging to identity theft victims, and that “a substantial amount of the fraudulent benefits submitted have used PII from first responders, government personnel and school employees.”
“It is assumed the fraud ring behind this possesses a substantial PII database to submit the volume of applications observed thus far,” the Secret Service warned. “The primary state targeted so far is Washington, although there is also evidence of attacks in North Carolina, Massachusetts, Rhode Island, Oklahoma, Wyoming and Florida.”
The Secret Service said the fraud network is believed to consist of hundred of “mules,” a term used to describe willing or unwitting individuals who are recruited to help launder the proceeds of fraudulent financial transactions.
“In the state of Washington, individuals residing out-of-state are receiving multiple ACH deposits from the State of Washington Unemployment Benefits Program, all in different individuals’ names with no connection to the account holder,” the notice continues.
👉🏼 Read more:
https://krebsonsecurity.com/2020/05/u-s-secret-service-massive-fraud-against-state-unemployment-insurance-programs/
#USA #SecretService #alert #nigerian #fraud #coronavirus
📡@cRyPtHoN_INFOSEC_DE
📡@cRyPtHoN_INFOSEC_EN
📡@BlackBox_Archiv