Early Detection and Recovery Measures for Smart Grid Cyber-Resilience

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Fältnamn	Indikatorer	Metadata
000		03870naa a2200517 4500
001		oai:DiVA.org:kth-305956
003		SwePub
008		211221s2021 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:research.chalmers.se:bfb6120e-7670-4c40-94ab-f2c7f799428b
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3059562 URI
024	7	a https://doi.org/10.4018/978-1-7998-7468-3.ch0052 DOI
024	7	a https://research.chalmers.se/publication/5300372 URI
040		a (SwePub)kthd (SwePub)cth
041		a engb eng
042		9 SwePub
072	7	a vet2 swepub-contenttype
072	7	a kap2 swepub-publicationtype
100	1	a Sari, Alparslanu University of Delaware4 aut
245	1 0	a Early Detection and Recovery Measures for Smart Grid Cyber-Resilience
264	1	a Hershey, PA, USA :b IGI Global,c 2021
338		a electronic2 rdacarrier
500		a QC 20221205
520		a The internet of things (IoT) has recently brought major technological advances in many domains, including the smart grid. Despite the simplicity and efficiency that IoT brings, there are also underlying risks that are slowing down its adoption. These risks are caused by the presence of legacy systems inside existing infrastructures that were built with no security in mind. In this chapter, the authors propose a method for early-stage detection of cyber-security incidents and protection against them through applicable security measures. This chapter introduces security techniques such as anomaly detection, threat investigation through a highly automated decision support system (DSS), as well as incident response and recovery for smart grid systems. The introduced framework can be applied to industrial environments such as cyber-threats targeting the production generator as well as the electricity smart meters, etc. The chapter also illustrates the framework's cyber-resilience against zero-day threats and its ability to distinguish between operational failures as well as cyber-security incidents.
650	7	a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650	7	a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Inbäddad systemteknik0 (SwePub)202072 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Embedded Systems0 (SwePub)202072 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Datorsystem0 (SwePub)202062 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Computer Systems0 (SwePub)202062 hsv//eng
653		a IoT
653		a smart grid
653		a intrusion detection
653		a anomaly detection
653		a cybersecurity
653		a Internet of Things
653		a smart nät
653		a intrångsdetektering
653		a anomalidetektering
653		a cybersäkerhet
700	1	a Butun, Ismailu KTH,Nätverk och systemteknik,Chalmers University of Technology, Sweden,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH),Konya Gida ve Tarim Üniversitesi,Chalmers tekniska högskola4 aut0 (Swepub:cth)butun
710	2	a University of Delawareb Nätverk och systemteknik4 org
773	0	t Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Citiesd Hershey, PA, USA : IGI Globalg , s. 91-110q <91-110
856	4	u https://kth.diva-portal.org/smash/get/diva2:1622006/FULLTEXT01.pdfx primaryx Raw objecty fulltext:postprint
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305956
856	4 8	u https://doi.org/10.4018/978-1-7998-7468-3.ch005
856	4 8	u https://research.chalmers.se/publication/530037

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Av författaren/redakt...: Sari, Alparslan; Butun, Ismail

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NATURVETENSKAP: NATURVETENSKAP; och Data och informa ...; och Datavetenskap

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Inbäddad systemt ...

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Datorsystem

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