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In this Help Net Security interview, Roland Atoui, Managing Director at Red Alert Labs, discusses the intricacies of transitioning from isolated IoT setups to interconnected environments, examining the broadening attack surface and the nuanced complexi…
In this Help Net Security interview, David Gugelmann, CEO at Exeon, sheds light on the current cyber threats and their challenges for network security. He discusses the role of Network Detection and Response (NDR) solutions that leverage machine learni…
Interesting research: “An Empirical Study & Evaluation of Modern CAPTCHAs“:
Abstract: For nearly two decades, CAPTCHAS have been widely used as a means of protection against bots. Throughout the years, as their use grew, techniques to defeat or bypass CAPTCHAS have continued to improve. Meanwhile, CAPTCHAS have also evolved in terms of sophistication and diversity, becoming increasingly difficult to solve for both bots (machines) and humans. Given this long-standing and still-ongoing arms race, it is critical to investigate how long it takes legitimate users to solve modern CAPTCHAS, and how they are perceived by those users…
Ecommerce platforms are incorporating sophisticated fraud detection measures, but fraudsters, too, are refining their strategies. In this Help Net Security interview, Eduardo Mônaco, CEO at ClearSale, explains the complexities of ecommerce fraud, discu…
A quarter of IT professionals are seriously contemplating leaving their current jobs within the next six months, potentially costing US companies upwards of 145 billion dollars, according to Ivanti. These statistics highlight the pressing need for orga…
Generative AI landed on Gartner’s coveted Hype Cycle for Emerging Technologies for 2023. Read about AI’s transformational impact on business and society.
In this Help Net Security interview, Mark O’Neill, CTO at BlackDice Cyber, talks about collaboration, transparent policies, and a security-first mindset. As 5G and IoT emerge, robust measures and AI will navigate challenges and shape the telecom indust…
Researchers have trained a ML model to detect keystrokes by sound with 95% accuracy.
“A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards”
Abstract: With recent developments in deep learning, the ubiquity of microphones and the rise in online services via personal devices, acoustic side channel attacks present a greater threat to keyboards than ever. This paper presents a practical implementation of a state-of-the-art deep learning model in order to classify laptop keystrokes, using a smartphone integrated microphone. When trained on keystrokes recorded by a nearby phone, the classifier achieved an accuracy of 95%, the highest accuracy seen without the use of a language model. When trained on keystrokes recorded using the video-conferencing software Zoom, an accuracy of 93% was achieved, a new best for the medium. Our results prove the practicality of these side channel attacks via off-the-shelf equipment and algorithms. We discuss a series of mitigation methods to protect users against these series of attacks…
Researchers from several UK universities have proven that the recorded sounds of laptop keystrokes can be used to obtain sensitive user data such as passwords with a high accuracy. Sounds of keystrokes can reveal passwords, other sensitive data Side-ch…
With the rise of ML, traditional red teams tasked with probing and exposing security vulnerabilities found themselves facing a new set of challenges that required a deep and comprehensive understanding of machine learning. Google’s recent announcement …