CYBERSECURITY CHALLENGES TO EUROPE: RESEARCH, POLICY … › Workshop › 2019 ›...
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Fabio Di Franco, Ph.D. ETSI Cyber Security: Landscape 17 06 2019 CYBERSECURITY CHALLENGES TO EUROPE: RESEARCH, POLICY AND STANDARDIZATION EFFORT
Transcript of CYBERSECURITY CHALLENGES TO EUROPE: RESEARCH, POLICY … › Workshop › 2019 ›...
Fabio Di Franco, Ph.D.
ETSI Cyber Security: Landscape
17 06 2019
CYBERSECURITY CHALLENGES TO EUROPE: RESEARCH, POLICY AND STANDARDIZATION EFFORT
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SECURING EUROPE’S INFORMATION SOCIETY
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POSITIONING ENISA ACTIVITIES
POLICY Support MS & COM in
Policy implementation Harmonisation across EU
CAPACITY Hands on activities
EXPERTISE Recommendations Independent Advice
Cybersecurity challenges –Fabio Di Franco
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EU Challenges
Education
Complexity & Supply Chain
Cyber Crime
Awareness
Privacy & Digital Identities
Crypto
Big Data, AI
Cybersecurity challenges –Fabio Di Franco - ENISA
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Cybersecurity in computingCybersecurity in computing
Multidisciplinary Approach
Multidisciplinary Approach
Simulation and visualization
Education
• Software security is not included in the standard educational programs
• Security and privacy by design are often taught only in specialized courses
Technical, Human, Organizational and Regulatory have different incentives, views, knowledge bases, languages
More exercises and cyber range for testing operational and technical skills
Capacity Building
Cybersecurity challenges –Fabio Di Franco
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S EB A Adaptability
How to manage risks and opportunities for a secure
and inclusive digital Europe?
SpeedThe digital world is moving too fast for
social norms to develop
Awareness Building -Digital Transformation
EverywhereDigital connected
devices are everywhere
Cybersecurity challenges –Fabio Di Franco
Boring• “I know but I don’t care”
• “It’s too boring”• “I did not know”
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Complexity and Supply chain
Cloud Service Provider
Online Marketplace
3rd Parties
Complexity of Service Supply Chains (sometimes second dependencies)
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Post Quantum
Crypto
Quantum Key
Distribution
Resilient Computer
Architecture
Crypto System in Era of Quantum Computing
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Privacy in Big Data & Digital Identities
Privacy-By-Design challenges:• Efficient Privacy-Preserving
Analytics (better if decentralized)
• Support and automation of policy enforcement
• PET in big data
RISK : electronic surveillance, profiling and disclosure of private data Volume
Velocity
Variety
BIG DATA Characteristics
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M AA Threat Analytics
• Anomaly detection might provide useful indications.
• Distinguish information from noise is still a challenge
Analysts• Limited resources• More automation,
situation awareness and threat intelligence
MotivationWhat an attacker is
looking for?
Attack SurfaceMore services are
exposed to Internet
Cybersecurity challenges –Fabio Di Franco
Detection, Mitigation against Cyber Attacks
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Automated intelligence:Automation of manual/cognitive and
routine/non-routine tasks.
Assisted intelligence:Helping people to perform tasks faster
and better.
Augmented intelligence:Helping people to make better
decisions.
Autonomous intelligence:Automating decision making
processes without human intervention
AI capabilities & maturity level
AI Capabilities
INTELLIGENCE
THANK YOU FOR YOUR ATTENTION
Vasilissis Sofias Str 1, Maroussi 151 24Attiki, Greece
www.enisa.Europa.eu
+30 281 440 9665
