Visible to the public Biblio

Filters: Keyword is Internet of Things(IoT)  [Clear All Filters]
Kaur, Ketanpreet, Sharma, Vikrant, Sachdeva, Monika.  2020.  Framework for FOGIoT based Smart Video Surveillance System (SVSS). 2020 International Conference on Computational Performance Evaluation (ComPE). :797–799.
In this ever updating digitalized world, everything is connected with just few touches away. Our phone is connected with things around us, even we can see live video of our home, shop, institute or company on the phone. But we can't track suspicious activity 24*7 hence needed a smart system to track down any suspicious activity taking place, so it automatically notifies us before any robbery or dangerous activity takes place. We have proposed a framework to tackle down this security matter with the help of sensors enabled cameras(IoT) connected through a FOG layer hence called FOGIoT which consists of small servers configured with Human Activity Analysis Algorithm. Any suspicious activity analyzed will be reported to responsible personnel and the due action will be taken place.
Nathi, Rohan A., Sutar, Dimpal.  2019.  Object Secured TCP Socket for Remote Monitoring IoT Devices. 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). :1–5.

With evolution of the communication technology remote monitoring has rooted into many applications. Swift innovation in Internet of Things (IoT) technology led to development of electronics embedded devices capable of sensing into the remote location and transferring the data through internet across the globe. Such devices transfers the sensitive data, which are susceptible to security attacks by the intruder and network hacker. Paper studies the existing security solutions and limitations for IoT environment and provides a pragmatic lightweight security scheme on Transmission Control Protocol (TCP) network for Remote Monitoring System devices over internet. This security scheme will aid Original Equipment Manufacturer (OEM) developing massive IoT products for remote monitoring. Real time evaluation of this scheme has been analyzed.

HamlAbadi, K. G., Saghiri, A. M., Vahdati, M., TakhtFooladi, M. Dehghan, Meybodi, M. R..  2017.  A Framework for Cognitive Recommender Systems in the Internet of Things (IoT). 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI). :0971–0976.

Internet of Things (IoT) will be emerged over many of devices that are dynamically networked. Because of distributed and dynamic nature of IoT, designing a recommender system for them is a challenging problem. Recently, cognitive systems are used to design modern frameworks in different types of computer applications such as cognitive radio networks and cognitive peer-to-peer networks. A cognitive system can learn to improve its performance while operating under its unknown environment. In this paper, we propose a framework for cognitive recommender systems in IoT. To the best of our knowledge, there is no recommender system based on cognitive systems in the IoT. The proposed algorithm is compared with the existing recommender systems.