Abstract: Machine learning algorithms are widely utilized in cybersecurity. However, recent studies show that machine learning algorithms are vulnerable to adversarial examples. This poses new threats ...

The main goal of this research is to propose a novel and extensive IoT attack dataset to foster the development of security analytics applications in real IoT operations. To accomplish this, 33 ...

Brute force attacks have evolved from simple password guessing into sophisticated, AI-powered campaigns that can crack complex passwords in minutes rather than months. What makes them particularly ...

btc-brute-force is a fast, offline Go research toolkit for studying Bitcoin P2PKH address generation, Hash160 matching, secp256k1 performance, and the mathematical reality of the 2^160 Bitcoin address ...

In a significant breakthrough that can have profound implications for digital and online security, an Indian research group has developed new quantum techniques to generate and certify truly random ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The speed and efficiency of traditionally developed software applications is limited by the fact ...

In this post, we describe FrodoKEM, a key encapsulation protocol that offers a simple design and provides strong security guarantees even in a future with powerful quantum computers. For decades, ...

Kebler's Instagram account is flooded with a large number of 'AI-generated videos' every day, many of which are bizarre and grotesque, like the screenshot below, but these videos are recommended by an ...

The tiny worm Caenorhabditis elegans has a brain just about the width of a human hair. Yet this animal’s itty-bitty organ coordinates and computes complex movements as the worm forages for food. “When ...

While passwords remain the first line of defense for protecting user accounts against unauthorized access, the methods for creating strong passwords and protecting them are continually evolving. For ...