Help Net Security

Three Purdue University researchers and their teammates at the University of California, Santa Barbara and Swiss Federal Institute of Technology Lausanne have received a DARPA …

Fraudsters are decreasing their schemes against businesses, but increasing COVID-19 focused scams against consumers online, according to TransUnion. Fraudsters less targeting …

Computer scientists have developed a new artificial intelligence (AI) system that may be able to identify malicious codes that hijack supercomputers to mine for cryptocurrency …

For better or worse, a lot of cybercrime sleuthing and forecasting tends to focus on various underground sites and forums across the deep and dark web corners of the Internet. …

As web services, cloud storage, and big-data services continue expanding and finding their way into our lives, the gigantic hardware infrastructures they rely on–known …

As organizations are settling into long-term remote working, new attack vectors for opportunistic cyberattackers—and new challenges for network administrators have been …

Asset tracking is one of the highest growth application segments for the Internet of Things (IoT). According to a report by ABI Research, asset tracking device shipments will …

Researchers discovered a malicious functionality within the iOS MintegralAdSDK (aka SourMint), distributed by Chinese company Mintegral. Functional flow of a user ad-click …

The continuing wave of attacks by cybercriminal groups known under the umbrella term Magecart perfectly illustrates just how unprepared many e-commerce operations are from a …

Half a year into the shutdown, companies are still playing catch up to optimize their remote work experience, according to Infoblox. Survey findings are based on 1,077 …

As companies shift to remote work and move business operations online because of the spread of COVID-19, they are increasingly relying on cloud services. Unexpected expenses …

A computer science professor at The University of Texas at Arlington is working with researchers to develop a process by which data points in multiple graph layers of massive …