Benjamin Maximilian Berens (SECUSO, Karlsruhe Institute of Technology), Katerina Dimitrova, Mattia Mossano (SECUSO, Karlsruhe Institute of Technology), Melanie Volkamer (SECUSO, Karlsruhe Institute of Technology)

The use of security awareness and education programmes is very common in organisations. But how effective are they over time? Some initial research on this question is, among others, the extensive study of Reinheimer et al. [74] that measured effectiveness at several time intervals. Their research found still significantly better results than before the awareness program after four months, but no longer after six months. This left open a two months interval for the reminder. The contribution of our paper is to study whether the reminder should be closer to four or six months. Thus, we measured effectiveness after five months. With still significant better results than before the programme after five months, we conclude that it is recommended to remind users more towards six months rather than already after five. However, we kindly invite the community to conduct more long-term studies, in different contexts, to confirm these findings.

View More Papers

Vision: Towards True User-Centric Design for Digital Identity Wallets

Yorick Last (Paderborn University), Patricia Arias Cabarcos (Paderborn University)

Read More

Fighting Fake News in Encrypted Messaging with the Fuzzy...

Linsheng Liu (George Washington University), Daniel S. Roche (United States Naval Academy), Austin Theriault (George Washington University), Arkady Yerukhimovich (George Washington University)

Read More

HeadStart: Efficiently Verifiable and Low-Latency Participatory Randomness Generation at...

Hsun Lee (National Taiwan University), Yuming Hsu (National Taiwan University), Jing-Jie Wang (National Taiwan University), Hao Cheng Yang (National Taiwan University), Yu-Heng Chen (National Taiwan University), Yih-Chun Hu (University of Illinois at Urbana-Champaign), Hsu-Chun Hsiao (National Taiwan University)

Read More

ProvTalk: Towards Interpretable Multi-level Provenance Analysis in Networking Functions...

Azadeh Tabiban (CIISE, Concordia University, Montreal, QC, Canada), Heyang Zhao (CIISE, Concordia University, Montreal, QC, Canada), Yosr Jarraya (Ericsson Security Research, Ericsson Canada, Montreal, QC, Canada), Makan Pourzandi (Ericsson Security Research, Ericsson Canada, Montreal, QC, Canada), Mengyuan Zhang (Department of Computing, The Hong Kong Polytechnic University, China), Lingyu Wang (CIISE, Concordia University, Montreal, QC, Canada)

Read More