6533b854fe1ef96bd12ae0d4
RESEARCH PRODUCT
Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks
Anniina OjalainenPetri VähäkainuMartti LehtoAntti Kariluotosubject
Computer scienceDenial-of-service attackCloud computingComputerApplications_COMPUTERSINOTHERSYSTEMStekoälyComputer securitycomputer.software_genreInsiderpilvipalvelutälytalotComponent (UML)cloud servicetietoturvakyberturvallisuusBuilding automationbusiness.industryattack vectorsartificial intelligencePopularityartificial-intelligence-based applicationsHeating systemälytekniikkabusinessdata platformCloud storagecomputerverkkohyökkäyksetdescription
Gathering and utilizing stored data is gaining popularity and has become a crucial component of smart building infrastructure. The data collected can be stored, for example, into private, public, or hybrid cloud service infrastructure or distributed service by utilizing data platforms. The stored data can be used when implementing services, such as building automation (BAS). Cloud services, IoT sensors, and data platforms can face several kinds of cybersecurity attack vectors such as adversarial, AI-based, DoS/DDoS, insider attacks. If a perpetrator can penetrate the defenses of a data platform, she can cause significant harm to the system. For example, the perpetrator can disrupt a building’s automatic heating system or break the heating equipment by using a suitable attack vector for a data platform. This chapter focuses on examining possibilities to protect cloud storage or data platforms from incoming cyberattacks by using, for instance, artificial-intelligence-based tools or trained neural networks that can detect and prevent typical attack vectors. peerReviewed
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-01-01 |