We address the problem of propositional logic-based abduction, i.e., the problem of searching for a best explanation for a given propositional observation according to a given propositional knowledge base. We give a general algorithm, based on the notion of projection; then we study restrictions over the representations of the knowledge base and of the query, and find new polynomial classes of abduction problems.
It's possible that someone may be watching your screen--by listening to it. A recent study from cybersecurity analysts at the universities of Michigan, Pennsylvania and Tel Aviv found that LCD screens "leak" a frequency that can be processed by artificial intelligence to provide a hacker insight into what's on a screen. "Displays are built to show visuals, not emit sound," says Roei Schuster, a PhD candidate at Tel Aviv University and a co-author of the study with doctoral candidates Daniel Genkin, Eran Tromer and Mihir Pattani. Yet the team's study shows that's not the case. The researchers were able to collect the noise through either a built-in or nearby microphone or remotely over Google Hangouts, for example.
Malware sophistication is increasing as adversaries begin to weaponize cloud services and evade detection through encryption, used as a tool to conceal command-and-control activity. To reduce adversaries' time to operate, security professionals said they will increasingly leverage and spend more on tools that use AI and machine learning, according to the 11th Cisco 2018 Annual Cybersecurity Report (ACR).
Women are better at cybersecurity than men, more likely to create unique passwords to protect themselves online and more concerned about the potential harm from hacking, according to a study by NordPass. The study showed that 43% of women always use a unique password for online store accounts, 57% for banks and other financial institutions. Half have unique passwords for personal email and 38% for communication apps. In comparison, just 36% of men use unique passwords for online stores, half for bank and other financial accounts, 42% for personal email and 31% for communication apps. The result is that fewer women than men fall victim to cybercrime – 46% vs. 54%.