Flood attacks means a network becomes so weighed down with packets, caused by the attackers. It prevents packets being sent/received between the nodes in the network. There are many methods adopted to prevent flood attacks in other networks, but none has been installed successfully for DTN's. Disruption tolerant network is a network, developed in such a manner that intermittent communication problems have very low effect on the outcome of the result. However, due to the limited network resources in this network such as buffer space and bandwidth, it is liable to flood attacks. In order to protect resources and defend against flood attacks, the rate limiting technique should be adopted. In which each node must be set up with a restriction over the number of packets it can send to the network and number of duplicates that can be created for each packets, such as rate limit L and rate limit R respectively. However flood attacks are caused even in application level resulting in losses of resources such as CPU and sockets. So, technique for detection of application level floods attacks is implemented by verifying DNS query with a specific tool and validating it with mysql database.
Power constraints play a key role in designing Human Area Networks (HANs) for bio authentication vehicle based on driver's identity. To alleviate the power constraints, we advocate a design that uses an asynchronous time encoding mechanisms for representing bio authentication information and the skin surface as the communication channel. Time encoding does not require a clock while allows perfect signal recovery; the communication channel is operated below 1 MHz We (i) review the fundamental theory behind time encoding and signal recovery, (ii) describe the implementation of a HAN prototype, (iii) describes the implementation of bio authentication for vehicle identity and (iv) present research data obtained from our experimental platform. We demonstrate that the fidelity of the proposed signal representation and transmission scheme is well above the bio medical monitoring requirements even in the case of additive channel-noise and neighbouring channel interference. Consequently, the traditional HAN architecture consisting of clocked A/D converters feeding into digital RF channels can be replaced with a less power demanding time encoding/decoding pair that uses the skin surface as a communications channel. Here we propose a multilayer mathematical model using volume conductor theory for galvanic coupling HAN on a human limb with consideration on the inhomogeneous properties of human tissue. By introducing and checking with quasi-static approximation criteria, Maxwell's equations are decoupled and capacitance effect is included to the governing equation for further improvement. Finally, the accuracy and potential of the model are examined.
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