Can a Raspberry Pi 5 run Large Language Models? In this post, we share the results of our experiments, analyzing how LLMs perform on this low-cost hardware and exploring the challenges and performance trade-offs.
The complete automation of cyber-attacks has become one of the areas of greatest interest since the introduction of Large Language Models (LLMs) to the public. The creation of attacking LLM agents that can act independently is among the most popular options.
In this blog, we introduce a brand-new agent: ARACNE. We also share the results of attack tests and what they mean in terms of the agent’s current capabilities.
We are thrilled to announce that, for the first time, the Czech Technical University in Prague is offering the "Introduction to Security" course as a Massive Open Online Course!
This blog covers my ongoing GSoC project 2024. It provides information about the current progress of my work, as well as my experiences and lessons learned along the way.
We are thrilled to announce that our student, Muris Sladić, won the Best Short Paper Award at the 3rd Workshop on Active Defense and Deception (AD&D) last week. The workshop took place in Vienna, as part of the EURO S&P Annual conference.
Since the start of the Stratosphere Laboratory more than 11 years ago, we have always struggled to fund our free software development projects that were aimed at helping the privacy and security of the Internet. And this is where the NLnet foundation came to help us.
We are thrilled to announce the launching of StratoCyberLab, a cyber range that can be used by students to learn and test their skills through realistic cybersecurity scenarios. The students can run all the challenges locally through a unified web interface. Our platform is not just a learning environment; it includes an assistant AI to guide newcomers, making the complex world of cybersecurity more accessible than ever.
We are happy to announce that our researcher, Muris Sladić, will present our latest research, “LLM in the Shell: Generative Honeypots”, at the upcoming ESORICS conference poster session in The Hague, Netherlands, on Monday, September 25, 2023. Whether you plan to attend the conference or want to learn more about this research, check out our paper. Our research proposes a novel use of Large Language Models (LLMs) for dynamic on-the-fly creation and generation of more engaging honeypot environments.
In this blog post, we describe how to run AIP on a cloud instance server, to read from Zeek logs and generate your own blocklist feed of IPs to block. The blog is divided into five parts: first, what is AIP; second, we describe how to set up a new cloud server in Digital Ocean; third, how to configure the cloud server with Zeek running; fourth, how to prepare the environment and configurations for AIP to run; and fifth, how to run AIP and generate your own blocklists.
