Leading experts in the fields of data science and cybersecurity discussing a range of topics related to the role data science has in addressing today's cybersecurity challenges.
Network-based threats to personal information, company secrets and critical infrastructure are increasing in frequency and sophistication. A rapid response is critical for stopping these threats, but, with network speeds reaching 100Gb/s and beyond, network defenders are swamped by overwhelming amounts of traffic, hindering both detection and response. Data scientists maintain that machine learning has the potential to help fight these threats, but the current dominant “Big Data” strategy of backhauling data to a central repository, using tools such as Hadoop and Spark, adds significant latency while incurring additional costs for bandwidth, storage, and computational resources. Furthermore, “Big Data” platforms such as Spark are optimized primarily for data management and model training, not serving trained models in deployment. We will walk through the process of translating a multi-dimensional anomaly detection algorithm that operates in batch into a streaming algorithm suitable for deployment in a network sensor. Then we demonstrate how deploying these models with Redis and the Redis ML module leads to dramatic reduction in processing time, leading to the faster threat detection and response.
The 3rd Annual Cisco & Ecole Polytechnique Innovation and Research Symposium will again bring together academic experts and industry leaders to share their knowledge and experience while asking hard questions, stimulating lively discussion, and establishing new connections for industrial and academic collaboration. This year, the Symposium will direct its focus on the challenges and opportunities of Artificial Intelligence and Cybersecurity as it relates to networking, storage, and compute infrastructure, as well as the potential impact of each on the evolution of the Internet and Society.
You will hear from leaders in Academia and Industry, including: Alan Turing Institute, CNRS, Estonian Institute of Technology, Imperial College London, INRIA, ITMO University, Penn State University, Telecom ParisTech, Temple CIS, TU Darmstadt, ANSSI, Airbus, Arbor Networks, Atos, BBCyber, Cogisen, CounterFlow.ai, MindMeld, Quarkslab, Thales, … as well as Ecole Polytechnique & Cisco.