Workshop on Collaborative Artificial Intelligence Cybersecurity CAIC Research to Develop Self Protection Technology to All Users Novice and Expert
Abstract
With the integration of Internet in all aspects of our life (e.g., Internet of Things (IoT)) and interdependencies among the cyberspace resources and services, it is well-established fact that the cybersecurity of everyone depends on everyone else. Solving current and future cybersecurity challenges requires developing revolutionary cybersecurity assistant technology that is analogues to ChatGPT, Apple Siri or Amazon Alexa such that these AI driven 24/7 cybersecurity assistant can protect all types of users (expert and novice). There are obvious huge challenges in terms of the scale and the ability to provide cybersecurity assistant and tools to protect everyone from the wide range of cyberattacks. However, the recent advances in AI, autonomic computing and high performance computing provide unprecedented opportunities to develop these types of Self-Protection Technologies (SPT). This workshop will address the workshop issues : (1) how to develop Cyber Immune System Analogous to theHuman Immune System? Our human immune system is incredibly efficient at identifying self- and non-self-entities in our bodies. We will investigate the technologies that can enable the domain of cybersecurity to benefit from having an open cyber immune system that can identify, react and adapt to malicious behaviors against user cyber operations; (2)how AI and Machine Learning (AI/ML) can be used to develop Cyber Immune System (CIS) functions? We will review ML algorithms like artificial deep neural networks (e.g., Autoencoders) to model normal user behaviors and consequently identify malicious user operations; (3) how 5G and beyond Era and Federated Distributed Open Platforms (DOPs) for cross-industry end-to-end (E2E) services can support the wide deployment of Self-Protection Services?
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 13, 2023
- Source ID
- N629092312101
Entities
People
- Mohand-said Hacid
Organizations
- Claude Bernard University Lyon 1
- Office of Naval Research
- United States Navy