A Quantitative Model for Dynamic Security Analysis of Wireless Sensor Networks

Ramos, Alex; Aquino, Breno; Lazar, Marcella; Filho, Raimir Holanda; Rodrigues, Joel J. P. C.

doi:10.1109/glocom.2017.8254520

Cited by 3 publications

(2 citation statements)

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“…Reset Sequence Attacks [64], [65] Limiting device access, device monitoring, and access control. Node Capture Attacks [66]- [73] Limiting device access, device monitoring, access control, and loss prevention practices [74]. Side and Sensory Channels EM Attacks [75]- [79] Best installation practices, directional antennas [80].…”

Section: E-iot Devices Layer: Attacks and Vulnerabilitiesmentioning

confidence: 99%

“…As such, the attacks could acquire communication keys, eavesdrop on messages, impersonate devices, track user activity, and impersonate users. Several other pieces of literature have discussed node capture attacks that exploit vulnerabilities to gather keys from connected devices [68]- [73]. The work of Lin et al focused more on the efficiency of node capture attacks and introduced the full graph attack (FGA), with two optimal algorithms for this attack [111].…”

Section: E-iot Devices Layer: Attacks and Vulnerabilitiesmentioning

confidence: 99%

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Survey on Enterprise Internet-of-Things Systems (E-IoT): A Security Perspective

Rondon¹,

Babun²,

Arış³

et al. 2021

Preprint

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As technology becomes more widely available, millions of users worldwide have installed some form of smart device in their homes or workplaces. These devices are often off-theshelf commodity systems, such as Google Home or Samsung SmartThings, that are installed by end-users looking to automate a small deployment. In contrast to these "plug-and-play" systems, purpose-built Enterprise Internet-of-Things (E-IoT) systems such as Crestron, Control4, RTI, Savant offer a smart solution for more sophisticated applications (e.g., complete lighting control, A/V management, security). In contrast to commodity systems, E-IoT systems are usually closed source, costly, require certified installers, and are overall more robust for their use cases. Due to this, E-IoT systems are often found in expensive smart homes, government and academic conference rooms, yachts, and smart private offices. However, while there has been plenty of research on the topic of commodity systems, no current study exists that provides a complete picture of E-IoT systems, their components, and relevant threats. As such, lack of knowledge of E-IoT system threats, coupled with the cost of E-IoT systems has led many to assume that E-IoT systems are secure. To address this research gap, raise awareness on E-IoT security, and motivate further research, this work emphasizes E-IoT system components, E-IoT vulnerabilities, solutions, and their security implications. In order to systematically analyze the security of E-IoT systems, we divide E-IoT systems into four layers: E-IoT Devices Layer, Communications Layer, Monitoring and Applications Layer, and Business Layer. We survey attacks and defense mechanisms, considering the E-IoT components at each layer and the associated threats. In addition, we present key observations in state-of-the-art E-IoT security and provide a list of open research problems that need further research.

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Section: E-iot Devices Layer: Attacks and Vulnerabilitiesmentioning

confidence: 99%

Section: E-iot Devices Layer: Attacks and Vulnerabilitiesmentioning

confidence: 99%