Enforcing fine-grained security and privacy policies in an ecosystem within an ecosystem

Ahmad, Waqar; Sunshine, Joshua; Kaestner, Christian; Wynne, Adam

doi:10.1145/2846661.2846664

“…[32] [11], [27], [30] Harm to inhabitants Causing physical or mental harm to individuals including vulnerable groups (e.g. children and older adults) that may be susceptible to nefarious influence.…”

Section: Energy Theftmentioning

confidence: 99%

A systematic review of crime facilitated by the consumer Internet of Things

Blythe

¹

,

Johnson

²

2019

Secur J

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The nature of crime is changing -estimates suggest that at least half of all crime is now committed online. Once everyday objects (e.g. televisions, baby monitors, door locks) that are now internet connected, collectively referred to as the Internet of Things (IoT), have the potential to transform society, but this increase in connectivity may generate new crime opportunities. Here, we conducted a systematic review to inform understanding of these risks. We identify a number of high-level mechanisms through which offenders may exploit the consumer IoT including profiling, physical access control and the control of device audio/visual outputs. The types of crimes identified that could be facilitated by the IoT were wide ranging and included burglary, stalking, and sex crimes through to state level crimes including political subjugation. Our review suggests that the IoT presents substantial new opportunities for offending and intervention is needed now to prevent an IoT crime harvest.

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“…Neisse et al [150] Name is not defined A static and dynamic analysis tool to extract inter-app interactions and permissions. Ahmad et al [156] Ancile Enforces use-based privacy for IoT application that use personal data. Bagdasaryan et al [157] Name is not defined Supports OWL and discover IoT devices based on passive broadcast and multicast packets.…”

Section: Snap4citymentioning

confidence: 99%

“…Table XI shows 13 tools, their brief descriptions, and relevant publications associated with the tools. Some of the tools support static and taint analysis to identify information sensitivity and to extract inter-app interactions and permissions [78]- [80], [156]. Some other tools help analyzing traffic data to investigate sensitive data flows and discover IoT devices based on passive broadcast and multicast packets [18], [64], [77].…”

Section: G Supported Toolsmentioning

confidence: 99%

Privacy in the Internet of Things: Where do We Stand? A Systematic Literature Review

Gupta¹,

Ghanavati²

2022

Preprint

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“…Neisse et al [150] Name is not defined A static and dynamic analysis tool to extract inter-app interactions and permissions. Ahmad et al [156] Ancile Enforces use-based privacy for IoT application that use personal data. Bagdasaryan et al [157] Name is not defined Supports OWL and discover IoT devices based on passive broadcast and multicast packets.…”

Section: Snap4citymentioning

confidence: 99%