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Fusion: Coalesced Confidential Storage and Communication Framework for the IoT
Lancaster University, UK.
RISE., Swedish ICT, SICS, Security Lab.ORCID-id: 0000-0001-8192-0893
Lancaster University, UK.
RISE., Swedish ICT, SICS, Computer Systems Laboratory. Uppsala University, Sweden.ORCID-id: 0000-0002-2586-8573
2015 (Engelska)Ingår i: Security and Communication Networks, ISSN 1939-0114, E-ISSN 1939-0122, Vol. 9, nr 15, s. 2656-2673Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Comprehensive security mechanisms are required for a successful implementation of the Internet of Things (IoT). Existing solutions focus mainly on securing the communication links between Internet hosts and IoT devices. However, as most IoT devices nowadays provide vast amounts of flash storage space it is as well required to consider storage security within a comprehensive security framework. Instead of developing independent security solutions for storage and communication we propose Fusion, a framework which provides coalesced confidential storage and communication. Fusion uses existing secure communication protocols for the IoT such as IPsec and DTLS and re-uses the defined communication security mechanisms within the storage component. Thus, trusted mechanisms developed for communication security are extended into the storage space. Notably, this mechanism allows us to transmit requested data directly from the file system without decrypting read data blocks and then re-encrypting these for transmission. Thus, Fusion provides benefits in terms of processing speed and energy efficiency which are important aspects for resource constrained IoT devices. The paper describes the Fusion architecture and its instantiation for IPsec and DTLS based systems. We describe Fusion’s implementation and evaluate its storage overheads, communication performance and energy consumption

Ort, förlag, år, upplaga, sidor
Wiley , 2015, 5. Vol. 9, nr 15, s. 2656-2673
Nyckelord [en]
security, Internet of Things, IPsec, DTLS storage security, Contiki OS
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:ri:diva-24431DOI: 10.1002/sec.1260OAI: oai:DiVA.org:ri-24431DiVA, id: diva2:1043512
Projekt
PromosTillgänglig från: 2016-10-31 Skapad: 2016-10-31 Senast uppdaterad: 2019-07-05Bibliografiskt granskad

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