Insights in Machine Learning for Cyber-Security Assessment

2019 ◽  
pp. 296-305
Author(s):  
César Benavente-Peces ◽  
David Bartolini
Keyword(s):  
Machine Learning ◽  
Cyber Security ◽  
Security Assessment

scholarly journals Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments – cyber risk in the colonisation of Mars

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Kevin Page ◽  
Max Van Kleek ◽  
Omar Santos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Real Time ◽  
Cyber Security ◽  
Extreme Environments ◽  
Learning Technologies ◽  
Cyber Attacks ◽  
Edge Computing ◽  
Mathematical Formulas ◽  
Cyber Risk

AbstractMultiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that could be very costly to repair or replace in cases of cyber-attacks. This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self-adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real-time intelligence in edge computing. The paper presents a new mathematical approach for integrating concepts for cognition engine design, edge computing and Artificial Intelligence and Machine Learning to automate anomaly detection. This engine instigates a step change by applying Artificial Intelligence and Machine Learning embedded at the edge of IoT networks, to deliver safe and functional real-time intelligence for predictive cyber risk analytics. This will enhance capacities for risk analytics and assists in the creation of a comprehensive and systematic understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when Artificial Intelligence and Machine Learning technologies are migrated to the periphery of the internet and into local IoT networks.

A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment

2021 ◽  
pp. 1-1
Author(s):  
Tingqi Zhang ◽  
Mingyang Sun ◽  
Jochen Lorenz Cremer ◽  
Ning Zhang ◽  
Goran Strbac ◽  
...  
Keyword(s):  
Machine Learning ◽  
Security Assessment ◽  
Learning Framework ◽  
Dynamic Security ◽  
Dynamic Security Assessment

Cyber security in industrial control system

2021 ◽  
pp. 481-493
Author(s):  
Sarika Singh ◽  
Gargi Phadke
Keyword(s):  
Control System ◽  
Control Systems ◽  
Communication Networks ◽  
Cyber Security ◽  
Denial Of Service ◽  
Mitigation Measures ◽  
Security Assessment ◽  
Industrial Control System ◽  
Industrial Control ◽  
Smart Grid Communication

For any system to secure them industrial control system plays an important role in it. It helps to design the isolated procure system, specialized communication mechanisms is used to help for the setup. And with the help of this setup the flexibility, safety, threats, and vulnerabilities are the most important things to make. To secure them from risk assessment and other protection measurement need to specify with good instruments and security. The paper describes technical aspects on Denial of Service (Dos) attack. We also identify how smart grid communication networks works in security technical implementation guides of the different countries as a defense information systems agency. A brief chronicle of cyber storm on ICS; common challenges, some mitigation of those challenge, all levels of the multi-layered ICS architecture. This paper demonstrates railway control systems (RCS) compliance estimation of immovable control system design, operational scenarios that can be used for mitigation measures and security assessment.

Cyber Security Assessment Education for E-Governance Systems

2020 ◽  
pp. 181-212
Author(s):  
Rajan Gupta ◽  
Saibal K. Pal ◽  
Sunil K. Muttoo
Keyword(s):  
Cyber Security ◽  
Security Assessment ◽  
Governance Systems
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