Visible to the public High-Performance Monitoring Sensors for Home Computer Users Security Profiling

TitleHigh-Performance Monitoring Sensors for Home Computer Users Security Profiling
Publication TypeConference Paper
Year of Publication2020
AuthorsForoughi, F., Hadipour, H., Shafiee, A. M.
Conference Name2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA)
Date PublishedJune 2020
ISBN Number978-1-7281-6690-2
Keywordscomputer security, cybersecurity, decision making, decision making model, high-performance intelligent agent, high-performance monitoring sensors, High-Performance Sensors, home computer users security profiling, home computing, Human Behavior, human computer interaction, human factors, Implicit Modeling, learning (artificial intelligence), machine learning, Monitoring, privacy, pubcrawl, python, Real-time Systems, Real-time User Behaviour Monitoring, Risky Behaviours, security, security profile, Sensors, software agents, user modelling, user privacy, User profiling, user security profile

Recognising user's risky behaviours in real-time is an important element of providing appropriate solutions and recommending suitable actions for responding to cybersecurity threats. Employing user modelling and machine learning can make this process automated by requires high-performance intelligent agent to create the user security profile. User profiling is the process of producing a profile of the user from historical information and past details. This research tries to identify the monitoring factors and suggests a novel observation solution to create high-performance sensors to generate the user security profile for a home user concerning the user's privacy. This observer agent helps to create a decision-making model that influences the user's decision following real-time threats or risky behaviours.

Citation Keyforoughi_high-performance_2020