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Lessons Learnt from Comparing WhatsApp Privacy Concerns Across Saudi and Indian Populations.

, , and . SOUPS @ USENIX Security Symposium, page 81-97. USENIX Association, (2020)

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Characterizing the relationship between degree distributions and community structures., and . ACC, page 2383-2388. IEEE, (2014)Structure of growing networks with no preferential attachment., and . ACC, page 1088-1093. IEEE, (2013)Poster: Cognitive Cyber - Dynamic, Adaptive Cyber Defense Systems for Massively Distributed, Autonomous, and Ad-hoc Computing Environments., , , and . DEBS, page 177-179. ACM, (2023)Insider Threat Event Detection in User-System Interactions., , , and . MIST@CCS, page 1-12. ACM, (2017)Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN., , , and . CoRR, (2024)What Can Johnny Do?–Factors in an End-User Expertise Instrument., , , and . HAISA, page 199-208. University of Plymouth, (2016)Model-based fraud detection in growing networks., and . CDC, page 6068-6073. IEEE, (2014)Heavy-tailed weighted networks from local attachment strategies., and . CDC/ECC, page 5211-5216. IEEE, (2011)Lessons Learnt from Comparing WhatsApp Privacy Concerns Across Saudi and Indian Populations., , and . SOUPS @ USENIX Security Symposium, page 81-97. USENIX Association, (2020)Stopping the Insider at the Gates: Protecting Organizational Assets through Graph Mining., , , and . J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 9 (1): 4-29 (2018)