000000337 001__ 337
000000337 005__ 20210319123800.0
000000337 037__ $$aLERSSE-RefConfPaper-2021-001
000000337 100__ $$aSvetlana Abramova
000000337 245__ $$aBits Under the Mattress: Understanding Different Risk Perceptions and Security Behaviors of Crypto-Asset Users
000000337 260__ $$c2021-05-07
000000337 300__ $$amult. p
000000337 520__ $$aCrypto-assets are unique in tying financial wealth to the secrecy of private keys. Prior empirical work has attempted to study end-user security from both technical and organizational perspectives. However, the link between individuals’ risk perceptions and security behavior was often obscured by the heterogeneity of the subjects in small samples. This paper contributes quantitative results from a survey of 395 crypto-asset users recruited by a novel combination of deep and broad sampling. The analysis accounts for heterogeneity with a new typology that partitions the sample in three robust clusters – cypherpunks, hodlers, and rookies – using five psychometric constructs. The constructs originate from established behavioral theories with items purposefully adapted to the domain. We demonstrate the utility of this typology in better understanding users’ characteristics and security behaviors. These insights inform the design of crypto-asset solutions, guide risk communication, and suggest directions for future digital currencies.
000000337 6531_ $$aCrypto-asset
000000337 6531_ $$asecurity
000000337 6531_ $$auser behavior
000000337 6531_ $$acluster analysis
000000337 700__ $$aArtemij Voskobojnikov
000000337 700__ $$aKonstantin Beznosov
000000337 700__ $$aRainer Böhme
000000337 8560_ $$flersse-it@ece.ubc.ca
000000337 8564_ $$uhttp://lersse-dl.ece.ubc.ca/record/337/files/bits_mattress.pdf
000000337 909C4 $$pSvetlana Abramova, Artemij Voskobojnikov, Konstantin Beznosov, Rainer Böhme. Bits Under the Mattress: Understanding Different Risk Perceptions and Security Behaviors of Crypto-Asset Users. Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (ACM CHI'21), 2021.
000000337 980__ $$aRefConfPaper