Federated Learning for Cyber Physical Systems: a Comprehensive Survey

The integration of machine learning ML in cyber physical systems CPS is a complex task due to the challenges that arise in terms of real-time decision making, safety, reliability, device heterogeneity, and data privacy. There are also open research questions that must be addressed in order to ful...

AI-driven adaptive protection against human-operated ransomware

In human-operated ransomware attacks, threat actors use predictable methods to enter a device but eventually rely on hands-on-keyboard activities to move inside a network. To fortify our existing cloud-delivered automated protection against complex attacks like human-operated ransomware, we...

Sensitive Data Access: Where Traditional UBA Solutions Fall Short – Whiteboard Wednesday [Video]

In today’s global information economy an ever-increasing amount of sensitive data is collected, used, exchanged, analyzed, and retained. And with that comes an ever-increasing number of accidental or intentional data breaches. Identifying inappropriate access to data is paramount in stopping a...

In the picture, the added noise will be able to fool Google's best image recognition AI-vulnerability warning-the black bar safety net

! Recently, a group from the University of Washington, network security lab NSL's computer experts found that a malicious attacker can trick Google's CloudVision API, this will cause the API to the user-submitted images were incorrectly classified. In recent years, based on the AI of the image...

White House Calls for Transparency from Data Brokers

The White House redirected attention away from the data collection efforts of the intelligence community yesterday with the release of a report that urged data brokers to be more transparent about their own data harvesting. Companies such as Facebook, Google and others make a living collecting th...