The researchers developed a system that uses smarter data signals to learn how people behave when searching for information, and then identifies unusual patterns that could indicate their private information is being exposed. This could help protect people's sensitive information by detecting potential threats before they cause harm, making online interactions safer and more secure.
Read Full Paper →Scientists developed an improved way to detect cyberattacks on devices connected to the internet, using data from past attacks. This new method could help prevent future attacks by catching them early and stopping them more effectively than existing techniques, making it safer for people and businesses that rely on these devices.
Read Paper →Scientists studied how control systems in critical infrastructure like power plants and water treatment facilities can be hacked. Their research shows that even if these systems are not connected to others, they're still at risk of being compromised because of weaknesses within the controlling software itself.
Read Paper →Scientists developed a new way to protect sensitive documents stored online in India's DigiLocker system, which provides secure storage space for citizens. This improved security measure could help safeguard the private information of millions of people who use DigiLocker, giving them more peace of mind when sharing and accessing their digital documents.
Read Paper →Scientists created a new method called Proportional Progressive Pseudo Labeling (PPPL) to help computers learn from one type of data and apply it to others, like images or text. This technique can improve how well computers recognize patterns in different kinds of data, which is important for tasks like identifying fake news or recognizing objects in pictures.
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