Data Science applications in Cybersecurity

Don't forget to get your ticket on Eventbrite to register to the event:
https://www.eventbrite.it/e/data-science-applications-in-cybersecurity-tickets-862724330697?aff=oddtdtcreator

Link to Youtube streaming:
https://www.youtube.com/@DataScienceMilan

Event Agenda:

Application of Graph Theory To Anomaly Detection in Cybersecurity: an Example - Alberto Mazzetto, Artificial Intelligence Modelling Engineer at Ferrari Racing
Scale and complexity of cyber-attacks have been increasing dramatically in recent years, making it necessary to accompany rule-based detections with statistically principled anomaly detection. We will see how graph theory applies to this problem and review global and local modelling approaches. We will exemplify one possible local approach based on a Bayesian conjugate model, the Dirichlet process, that allows for fast, scalable, explainable computations. We will then explore a global-flavoured methodology, based on graph variational auto-encoders, aimed at reducing the number of false positives.

A Data-Driven Approach to Cybersecurity - Luigi De Luca, Data Scientist at Data Reply
In today’s data-driven world, Big Data and Data Science have become indispensable tools in transforming the way we approach complex problems. Big Data and Data Science are very useful in handling large volumes of data to derive actionable insights. As cyber threats continue to evolve, traditional cybersecurity methods have proven to be insufficient in effectively defending against modern attacks. So, Data Analytics plays a crucial role in the field of cybersecurity. We will analyze the benefits that a data driven approach brings to cybersecurity, with a focus on three use cases that are subcases of anomaly detection: UEBA, malware detection and DGA detection. For each of this three use cases we will explain the improvements with respect to traditional methods and how to implement the solution.

Topics: #CyberSecurity #DataScience #Bayesian

Speakers' Bio:

• Alberto, physicist by education, is an artificial intelligence modelling engineer for Ferrari Racing. He graduated in data science and machine learning from Imperial College London in 2023, with a dissertation on graph theory and graph neural networks applied to anomaly detection in computer networks.
• Luigi holds a master's degree in Computer Engineering Cybersecurity branch from the Polytechnic University of Turin. Since 2023, he has been working as a Data Scientist at Data Reply, where he carries out consulting activities and actively follows issues related to Cybersecurity Analytics.

---
Event details

This event is hosted by Vedrai SpA at the Milan office. The event will be held in English. Both at the beginning and at the end of the talks there will be a networking aperitif with food and drinks.

Attending in presence:
There will be 30 seats reserved to the community. If the tickets are sold out you can register on the waitlist, we will apply a first-in first-out policy to assign seats in case of cancellations.
Attending remotely:
The event will be streamed live on our Youtube channel (https://www.youtube.com/c/DataScienceMilan).

Agenda:
18:30 Welcome and Opening
18.55 Intro to the Data Science Milan community
19.00 Tech talk starts
20.15 Networking aperitivo

---
Would you be happy to host one of our events? Increase your popularity and be known by our community by hosting one of our interesting events. Contact us at datasciencemilan@gmail.com.

If you are interested in doing a lightning talk or want to propose an event, hackathon, panel discussion, roundtable, or any sort of initiative please submit your proposal by getting in touch with a member of the staff. More info at https://www.linkedin.com/company/data-science-milan/
---
This event is supported by IAML (Italian Association of Machine Learning).