Handling a trillion (unfixable) flaws on a billion devices: Rethinking network security for the Internet-of-Things

By Tian-jiao Yu, Vyas Sekar, Srinivasan Seshan, Yuvraj Agarwal, Chenren Xu. ACM Workshop on Hot Topics in Networks, 2015

350 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a565f425bee540292c535635d0750d7bc958e03a

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Citations in the corpus

ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms (2017, methodology): “Based on the annotations done by the static analysis, ContexIoT efficiently adds instructions to log the context attributes only for the subset of app code that is related to the sensitive behaviors of the untrusted app.”
Anatomy of Threats to the Internet of Things (2019, background): “Hence, researchers in [38] proposed a network level security architec-”
The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved (2018, background): “4) Solutions and Opportunities: The team at Carnegie Mellon University was aware of the cross-device dependencies early, and proposed a set of new security policies for detecting anomaly behavior of interdependence [21].”
A Supervised Intrusion Detection System for Smart Home IoT Devices (2019, background): “SNORT and Bro, only work on traditional IP-only networks as they are static and use signature-based techniques [10], [14].”
Characterizing and classifying IoT traffic in smart cities and campuses (2017, background): “The large heterogeneity in IoT devices has led researchers to propose network-level security mechanisms that analyse traffic patterns to identify attacks (see [4] and our recent work [5]); success of these approaches relies on a good understanding of what “normal” IoT traffic profile looks like.”
Classifying IoT Devices in Smart Environments Using Network Traffic Characteristics (2019, background): “The large heterogeneity in IoT devices has led researchers to propose network-level security mechanisms that analyze traffic patterns to identify attacks (see [14] and our recent work [15]); success of these approaches relies on a good understanding of what “normal” IoT traffic profile looks like.”
Blockchain's adoption in IoT: The challenges, and a way forward (2019, background): “Whereas, the host-based security approach cannot be applied to the resource constraint IoT devices [22].”
Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations (2019, background): “Further, given that the problem of IoT security is still at its infancy due to the lack of IoT-relevant empirical data and IoT-specific attack signatures [21], we note the shortage of literature approaches, which can practically identify Internet-wide compromised IoT devices, in near realtime, and a”
BlackIoT: IoT Botnet of High Wattage Devices Can Disrupt the Power Grid (2018, background): “The security and vulnerability of the IoT against cyber attacks has been widely studied [21,42,45,50,53,57,63].”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “[2] proposed an IoT security architecture, called IoTSec, envisioning customized micro-middleboxes, μboxes, which can be rapidly instantiated over lightweight platforms.”