Network Approaches to Improving Consumer IoT Security

Melzer, Jordan; Latour, Jacques; Richardson, Michael; Aisha, Ali; Almuhtadi, Wahab

doi:10.1109/icce46568.2020.9043121

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…It is highly possible that such a coexistence may open new avenues for cyberattacks [31]. In addition, the home Gateway is the most compromised device and its services may increase the attack surface [15]. Hence, this research also discusses vulnerabilities in the home Gateway and how those could increase the risk factor.…”

Section: Introductionmentioning

confidence: 98%

“…Numerous security solutions that have evolved have focussed only on traditional computing. SHDs are the least secure of internet hosts [15] and both their widespread growth and heterogeneity have opened new and significant attack surfaces [16], [17]. Hence, the security of IoT devices is more critical than that of traditional computing devices [2], [18].…”

Section: Introductionmentioning

confidence: 99%

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Assessing and Mitigating Network Vulnerabilities in Philips Hue and Nest Protect Smart Home Devices

Sredhar,

Khan,

Gilal

et al. 2024

IJACSA

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The Internet of Things (IoT) has gained momentum across various sectors, particularly in the consumer market with the adoption of smart devices. IoT extends internet connectivity to physical devices, enabling control via smartphones, environmental sensing, and updates. However, smart home devices are susceptible to cyberattacks due to vulnerabilities, lack of monitoring, and built-in security. They can also participate in botnets, leading to large-scale attacks. Vulnerabilities in these devices may exist at the sensing, network, or application layers, impacting data confidentiality, integrity, and service availability. This research aims to identify networklayer vulnerabilities affecting the 'Availability' of Philips Hue and Nest Protect. By establishing a test environment, the baseline behavior of these devices is examined, followed by scans for open ports and services to detect network-based threats. Volumetric flood attacks are then conducted to assess susceptibility, and findings are shared to define the devices' default security posture. The research also addresses security issues related to home routers and aims to reduce the attack surface of smart home devices through isolation and network-level protection. This involves deploying a Firewall to isolate smart devices from non-IoT devices and prevent intrusions.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Assessing and Mitigating Network Vulnerabilities in Philips Hue and Nest Protect Smart Home Devices

Sredhar,

Khan,

Gilal

et al. 2024

IJACSA

View full text Add to dashboard Cite

show abstract

“…Additionally, the proposed architecture allows obtaining this profile to be enforced by the network domain where the device is deployed. Since its adoption, MUD has received a significant interest from the research community and standardization bodies [11]. In particular, the National Institute of Standards and Technology (NIST) proposes the MUD standard as a promising approach to mitigate security threats [12], and to cope with denial-ofservice (DoS) attacks in IoT environments, including home and small-business networks [13].…”

Section: Introductionmentioning

confidence: 99%

Defining the Behavior of IoT Devices Through the MUD Standard: Review, Challenges, and Research Directions

et al. 2021

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With the strong development of the Internet of Things (IoT), the definition of IoT devices' intended behavior is key for an effective detection of potential cybersecurity attacks and threats in an increasingly connected environment. In 2019, the Manufacturer Usage Description (MUD) was standardized within the IETF as a data model and architecture for defining, obtaining and deploying MUD files, which describe the network behavioral profiles of IoT devices. While it has attracted a strong interest from academia, industry, and Standards Developing Organizations (SDOs), MUD is not yet widely deployed in real-world scenarios. In this work, we analyze the current research landscape around this standard, and describe some of the main challenges to be considered in the coming years to foster its adoption and deployment. Based on the literature analysis and our own experience in this area, we further describe potential research directions exploiting the MUD standard to encourage the development of secure IoTenabled scenarios.

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A Study on Machine Learning Algorithms for IOT-Based Intrusion Detection System

Pandey,

Prasad

2023

2023 3rd International Conference on Advancement in Electronics &Amp; Communication Engineering (AECE)

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Network Approaches to Improving Consumer IoT Security

Cited by 4 publications

References 9 publications

Assessing and Mitigating Network Vulnerabilities in Philips Hue and Nest Protect Smart Home Devices

Assessing and Mitigating Network Vulnerabilities in Philips Hue and Nest Protect Smart Home Devices

Defining the Behavior of IoT Devices Through the MUD Standard: Review, Challenges, and Research Directions

A Study on Machine Learning Algorithms for IOT-Based Intrusion Detection System

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