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2030
Autonomous Security for Self-Protected Systems
2019-2030
Problem description
With the constant and significant increase in the speed with which attacks spread or are able to spread, it has become crucial on the one hand to be able to detect these attacks in real-time, and on the other hand to be able to diagnose these attacks in order to consider in fine the automatic implementation of countermeasures.
Research aspect: Being able to automatically correct security defects that attacks would have revealed involves: (1) properly defining the system's security policy and how it is implemented, (2) detecting violations of this policy in real-time, (3) accurately diagnosing the causes and sources of these violations, (4) recovering the attacked system, and finally (5) automatically proposing changes to the policy and/or its implementation.
Industrial demand:
Social aspect: Security and Privacy are two major concerns for the general public. The demand for secure computing environment is huge, both in the professional and in the personal sphere. Nevertheless, the mandatory skills are rare. Addressing this problem represents a long term effort in education and training. If bringing a better training to more people is crucial, automation may also be viewed as a way to tackle the problem.
Industrial demand:
- Any business has to protect itself against potential attacks. This is a difficult and costly task. Automation would simplify this task and reduce its cost.
- Autonomous security is not currently operative. This is a subject on which Europe could take the research and then industrial lead.
Social aspect: Security and Privacy are two major concerns for the general public. The demand for secure computing environment is huge, both in the professional and in the personal sphere. Nevertheless, the mandatory skills are rare. Addressing this problem represents a long term effort in education and training. If bringing a better training to more people is crucial, automation may also be viewed as a way to tackle the problem.
Final goal: Following the idea of autonomous computing, this challenge ultimately aimed to develop a computer system capable of self-managing its own security. The goal is thus to produce an environment that will be able to correct by itself the security defects that attacks would have revealed.
Benefits for EU: The global geostrategic context is bad, as we all know, and Europe is facing powerful countries (USA, China, Russia). In this context, a "cyberwar" cannot be ruled out. Even without going that far, the protection of our European industrial assets is also necessary. The role of human operators remains of course major for cyber defense, but it is conceivable that in the near future there will be so many (maybe automated) attacks (i.e., a cyber-hurricane) that the automation of at least part of the response will be just essential to survive.
Domain (JRC Taxonomy): Operational Incident Handling and Digital Forensics
Sector (JRC Taxonomy): Potentially all, with special importance in Energy, Transportation, Digital Infrastructure, Finance, Supply Chain
Relation to emerging technologies: We cannot totally exclude, even if for the time being the feasibility remains an issue, that AI-based systems could be able to autonomously handle advanced attack campaigns in the future. Faced with such automated attacks, a human response could be totally ineffective. Consequently, the automation of the response (at least defensively, as proposed here) will be a necessity.
Benefits for EU: The global geostrategic context is bad, as we all know, and Europe is facing powerful countries (USA, China, Russia). In this context, a "cyberwar" cannot be ruled out. Even without going that far, the protection of our European industrial assets is also necessary. The role of human operators remains of course major for cyber defense, but it is conceivable that in the near future there will be so many (maybe automated) attacks (i.e., a cyber-hurricane) that the automation of at least part of the response will be just essential to survive.
Domain (JRC Taxonomy): Operational Incident Handling and Digital Forensics
Sector (JRC Taxonomy): Potentially all, with special importance in Energy, Transportation, Digital Infrastructure, Finance, Supply Chain
Relation to emerging technologies: We cannot totally exclude, even if for the time being the feasibility remains an issue, that AI-based systems could be able to autonomously handle advanced attack campaigns in the future. Faced with such automated attacks, a human response could be totally ineffective. Consequently, the automation of the response (at least defensively, as proposed here) will be a necessity.