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- Title
Detection of Oddity using User Behavior Patterns and Home Conditions for Home Automation of IOT Devices.
- Authors
Vimal, V. R.; Vineetha, Bijjam; Dinusha, Chandra; Madhuri, Mummadi Venkata Naga
- Abstract
In this today's generation, Everyone is using electrical appliances in our homes such as refrigerator, Air Conditioner etc... For security purpose all these were connected to internet. Cyber attacksis one of the main problem in these days. These appliances are targets of cyber attacks which cause harm to users as well as it also a problem in compromising safety. The attacks include volume up air conditioners, automatic operations etc... To overcome this problem we deal with Anomaly Detection. We have proposed a model for detecting such abnormal conditions based on user Behavior patterns. As this is already exists only for single user by using Hidden Markov Model[HMM]. This is an evaluation of HMM model. Smart home consists of multiple users we will be implementing this proposed method even in case on multiple users. This method mainly based on user condition sequences as well of home conditions such as temperature and time. This method obtained detection ratios exceeding 90% anomalous operations with less than10% of misdirection when our method observed event sequences related to operations.
- Subjects
HOME automation; HIDDEN Markov models; ANOMALY detection (Computer security); CYBERTERRORISM; INTERNET of things; HAIR conditioners
- Publication
Grenze International Journal of Engineering & Technology (GIJET), 2021, Vol 7, Issue 1, p868
- ISSN
2395-5287
- Publication type
Article