The T Cell module was created to give Slips a stateful adaptive response layer on top of its existing evidence pipeline. While the original detectors already provide the innate immune component through PAMP and DAMP evidence, the T Cell module adds antigen recognition, co-stimulation, context evaluation, tolerance, activation, effector action, and memory. It does this by extracting structured antigens from live evidence, matching them against the accepted regex repertoire generated by RegexGenerator, and then combining that recognition with the cumulative danger signaled by recent PAMP and DAMP observations. This allows Slips to move from isolated detections to a more explicit immune decision process that can decide when to ignore, when to contain, and when to remember.
The RegexGenerator module was created to give Slips an adaptive way to discover new string-based detectors for changing indicators such as domains, URIs, filenames, TLS SNI values, and certificate common names. It continuously uses the shared LLM service to propose one regex at a time, then applies local validation and negative selection against benign corpora to reject unsafe or overly broad patterns. The accepted regexes become a reusable adaptive recognition repertoire for other modules, especially the T Cell responder.
The new HTTPS anomaly detection module in Slips builds per-host adaptive baselines in traffic time, then detects deviations at two levels: per-flow (for bytes to known servers) and per-hour (for host behavior like new servers, unique servers, JA3 changes, and flow volume). It uses online statistics and z-scores for transparent scoring, plus controlled adaptation states (training_fit, drift_update, suspicious_update) to keep learning while reducing poisoning risk.
The result is explainable, operational evidence in clear human text: what changed, confidence, and why it is anomalous.
Our research identifies sixteen fundamental principles of biological immunity and translates them into cybersecurity defense architectures that emphasize multi-dimensional coordination over single- point tactics.
We are pleased to announce the publication of our latest paper, “Building adaptive and transparent cyber agents with local language models,” in the Journal of Expert Systems with Applications.
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.
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.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system.
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.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system.
Last week in Rome, our team was happy to participate with two papers in the 16th International Conference on Agents and Artificial Intelligence (ICAART).
We are happy to announce that our Stratosphere Laboratory was accepted as a mentor organization for a second year in the Google Summer of Code 2024!
This blog post shows the analysis of a malware of the PyRation family by Tomas Nieponice as part of a 3-week winter cybersecurity internship at the Stratosphere Laboratory. The internship was done under the supervision of Assist. prof. Sebastian Garcia, PhD.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine-learning intrusion detection system.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system.
We started working with UptimeRobot in our IoT lab, and it was like suddenly someone turned on the light.
Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system
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.
We are excited to announce that two of our projects, Slips and the AI VPN, were selected to participate in the upcoming Black Hat Europe Arsenal 2023, taking place on December 6-7 in London, UK!
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.
With the 9th week of GSoC gone, in this blog, we bring updates on what has been happening, with news from our mentors and contributors.
