Lifeboat Foundation

Two security sleuths last month discovered an enormous amount of data that was left exposed on a server. Data found on the server belonged to around 1.2 billion people.

Kartikay Mehrotra wrote about it on Friday for Bloomberg, in a story, along with one from Wired, that was frequently quoted over the weekend. The data was left unprotected on a Google Cloud server.

The FBI were contacted and the server was shut down. Not trivial. Wired referred to the situation as a “jumbo” data leak. Wired said the information was sitting exposed and easily accessible on an unsecured server.

Night Lion Security’s Vinny Troia has discovered an unsecured database containing the personal information of 1.2bn users.

Law enforcement and technologists have been arguing over encryption controls for more than two decades. On one side are privacy advocates and tech bosses like Apple’s chief executive, Timothy D. Cook, who believe people should be able to have online communications free of snooping. On the other side are law enforcement and some lawmakers, who believe tough encryption makes it impossible to track child predators, terrorists and other criminals.

After years of on-and-off debate over nearly snoop-proof security, the industry is girding for new pressure from law enforcement around the world.

Vulnerabilities in the Google Camera app left hackers able to take photos, and silently record audio and video, even when the phone was locked.

FAQ Timeline Dashboard Multimedia Exhibit A new abnormal: It is still 2 minutes to midnight 2019 Doomsday Clock Statement Science and Security Board Bulletin of the Atomic Scientists Editor, John Mecklin From the President | Full Statement | Board Biographies | About the Bulletin | Clock Timeline PDF version | Print this … Continued.

David Opateyibo was 17 years old when he built Nigeria’s first locally-made drone in Lagos.

Opateyibo led a team of Lagos State Polytechnic students to produce the country’s first prototype of a drone, which authorities in Lagos hope to deploy for security surveillance.

Continue reading “At age 17, he built Nigeria’s first locally-made drone and on a mission to build an aircraft” »

Although mobile devices were not designed to run compute-heavy AI models, in recent years AI-powered features like face detection, eye tracking, and voice recognition have all been added to smartphones. Much of the compute for such services is done on the cloud, but ideally these applications would be light enough to run directly on devices without an Internet connection.

In this spirit of “smaller is better,” Shanghai-based developer “Linzai” (GitHub user name @Linzaer) recently shared a new lightweight model that enables real-time face detection for smartphones. The “Ultra-Light-Fast-Generic-Face-Detector-1MB” is designed for general-purpose face detection applications in low-power computing devices and is applicable to both Android and iOS phones as well as PCs (CPU and GPU). The project has garnered a whopping 3.3k Stars and over 600 forks on GitHub.

Facial recognition technology is widely applied in security monitoring, surveillance, human-computer interaction, entertainment, etc. Detecting human faces in digital images is the first step in facial recognition, and an ideal face detection model can be evaluated by how quickly and accurately it performs.

Google has confirmed that a high severity Chrome browser zero-day exploit exists in the wild — here’s what you need to know.

Researchers at Nanyang Technological University, Singapore (NTU Singapore) have developed a quantum communication chip that is 1,000 times smaller than current quantum setups, but offers the same superior security quantum technology is known for.

Most leading security standards used in secure communication methods—from withdrawing cash from the ATM to purchasing goods online on the smartphone—does not leverage quantum technology. The electronic transmission of the personal identification number (PIN) or password can be intercepted, posing a security risk.

Roughly three millimeters in size, the tiny chip uses quantum communication algorithms to provide enhanced security compared to existing standards. It does this by integrating passwords within the information that is being delivered, forming a secure quantum key. After the information is received, it is destroyed along with the key, making it an extremely secure form of communication.