Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/3342
Title: | ARGUS - An Adaptive Smart Home Security Solution |
Authors: | Ratnayake, R.M. Ruwin R. Abeysiriwardhena, G.D.N.D.K. Perera, G.A.J. Senarathne, A Ponnamperuma, R. Ganegoda, B.A. |
Keywords: | ARGUS Adaptive Smart Home Smart Home Security Security Solution |
Issue Date: | 9-Dec-2022 |
Publisher: | IEEE |
Citation: | R. M. Ruwin R. Ratnayake, G. D. N. D. K. Abeysiriwardhena, G. A. J. Perera, A. Senarathne, R. Ponnamperuma and B. A. Ganegoda, "ARGUS – An Adaptive Smart Home Security Solution," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 459-464, doi: 10.1109/ICAC57685.2022.10025331. |
Series/Report no.: | 2022 4th International Conference on Advancements in Computing (ICAC); |
Abstract: | Smart Security Solutions are in high demand with the ever-increasing vulnerabilities within the IT domain. Adjusting to a Work-From-Home (WFH) culture has become mandatory by maintaining required core security principles. Therefore, implementing and maintaining a secure Smart Home System has become even more challenging. ARGUS provides an overall network security coverage for both incoming and outgoing traffic, a firewall and an adaptive bandwidth management system and a sophisticated CCTV surveillance capability. ARGUS is such a system that is implemented into an existing router incorporating cloud and Machine Learning (ML) technology to ensure seamless connectivity across multiple devices, including IoT devices at a low migration cost for the customer. The aggregation of the above features makes ARGUS an ideal solution for existing Smart Home System service providers and users where hardware and infrastructure is also allocated. ARGUS was tested on a small-scale smart home environment with a Raspberry Pi 4 Model B controller. Its intrusion detection system identified an intrusion with 96% accuracy while the physical surveillance system predicts the user with 81% accuracy. |
URI: | https://rda.sliit.lk/handle/123456789/3342 |
ISSN: | 979-8-3503-9809-0 |
Appears in Collections: | 4th International Conference on Advancements in Computing (ICAC) | 2022 Department of Computer Systems Engineering Research Papers - Dept of Computer Systems Engineering Research Papers - IEEE Research Papers - SLIIT Staff Publications |
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ARGUS__An_Adaptive_Smart_Home_Security_Solution.pdf Until 2050-12-31 | 323.31 kB | Adobe PDF | View/Open Request a copy |
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