Title | Trust based Security framework for IoT data |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | P N, Renjith, K, Ramesh |
Conference Name | 2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP) |
Keywords | Batteries, data aggregation, delays, false trust, IoT, Monitoring, policy-based governance, pubcrawl, Resiliency, Scalability, security, Sensors, Temperature sensors, wireless sensor, Wireless sensor networks |
Abstract | With an incredible growth in MEMS and Internet, IoT has developed to an inevitable invention and resource for human needs. IoT reframes the communication and created a new way of machine to machine communication. IoT utilizes smart sensor to monitor and track environmental changes in any area of interest. The high volume of sensed information is processed, formulated and presented to the user for decision making. In this paper a model is designed to perform trust evaluation and data aggregation with confidential transmission of secured information in to the network and enables higher secure and reliable data transmission for effective analysis and decision making. The Sensors in IoT devices, senses the same information and forwards redundant data in to the network. This results in higher network congestion and causes transmission overhead. This could be control by introducing data aggregation. A gateway sensor node can act as aggregator and a forward unique information to the base station. However, when the network is adulterated with malicious node, these malicious nodes tend to injects false data in to the network. In this paper, a trust based malicious node detection technique has been introduced to isolate the malicious node from forwarding false information into the network. Simulation results proves the proposed protocol can be used to reduce malicious attack with increased throughput and performance. |
DOI | 10.1109/ICCCSP49186.2020.9315282 |
Citation Key | p_n_trust_2020 |