An approach towards preventing iot based sybil attack based on contiki framework through cooja simulator

In this paper we propagate the Sybil attack in WSN (Wireless sensor network), by the researchers many attacks have been recognized in WSN till now and there are many attacks which can attack over through internet, Internet of thing means all devices is interconnected to each other M2M over internet and can be attacked by any of the attacker on any devices. Sybil attack is the detrimental attack against sensor network where several counterfeit identities and legitimate identities are used to get prohibited pass in a network. This is major attack which results an information loss and misinterpretation in the network, and it also minimizes the routing disturbance, trustworthiness and dropping sensitivity packets into a network. In this instance node can trust the imaginary node and sharing of information starts, owed to this security of node is get affected and information is lost. In this paper, a survey of CONTIKI OS-2.7, stimulation tool COOJA and the Sybil attack and proposed the defense mechanisms and CAM (Compare and Match) approach to verify the Sybil attack position and prevent it. This Sybil attack can be stimulated on the stimulation tool COOJA which helps to identify the attacker position node, whereas these attacks outcome in uni-casting as well as multicasting and in this paper specifically given the secure security for Wireless sensor network.

Communication Protocol for Wireless Sensor Network, Dedicated for Real Time Biosignal Acquisition, Implemented on Top of Contiki OS

The aim of this paper is to present a communication protocol designed for Wireless Sensor Network based biosignal measurement system. The protocol addressees the issue of time synchronization of the measuring nodes and real time transmission of the acquired measurements. We run the Contiki OS on the sensor nodes and the protocol was implemented as a process. The proposed protocol was tested on custom built hardware, developed by our team for biosignal measurement.