Network-level security and privacy control for smart-home IoT devices

By V. Sivaraman, H. Gharakheili, A. Vishwanath, Roksana Boreli, O. Mehani. IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2015

298 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/c25f029b1e51706a89fc550d67b431b2b982bac5

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In Computer Networks and Communications

In Control and Systems Engineering

Haider Abbas

In Signal Processing

Citations in the corpus

Towards an Optimized BlockChain for IoT (2017, background): “Authors in [11] demonstrated that a wide variety of o-the-shelf IoT devices lack fundamental security considerations.”
Machine Learning Based Intrusion Detection Systems for IoT Applications (2019, background): “IoT devices (e.g., smart light bulbs, smart door locks, smart television) are an easy target of attackers which exploit their vulnerabilities in order to perform DoS attacks [50, 56, 59, 20, 68].”
Anatomy of Threats to the Internet of Things (2019, methodology): “[25] X Security and privacy issues in some smart home devices X X X X X Proposes an SDNbased network level security mechanism X X”
User Perceptions of Smart Home IoT Privacy (2018, background): “Some researchers [48, 49] have proposed building dedicated hubs for privacy and security control in smart home networks.”
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, background): “As discussed in [156], smart home IoT-enabled appliances such as power switches, thermostat controls, smoke/fire”
Blockchain's adoption in IoT: The challenges, and a way forward (2019, background): “Correspondingly, the low bandwidth, low power and less secure IoT wireless communication protocols [23, 165 24, 25], weak application security, and vulnerable web applications and APIs [26, 27] make IoT devices an ideal target for the attackers.”