Traveling waves describe diverse natural phenomena from crystal growth in physics to range expansions in biology. Two classes of waves exist with very different properties: pulled and pushed. Pulled waves are noisy because they are driven by high growth rates at the expansion edge, where the number of organisms is small. In contrast, fluctuations are suppressed in pushed waves because the region of maximal growth is shifted towards the population bulk. Although it is commonly believed that expansions are either pulled or pushed, we found an intermediate class of waves with bulk-driven growth, but exceedingly large fluctuations. Such waves have many unusual properties because their foci of growth, ancestry, and diversity are spatially separated from each other.

In wireless sensor networks, adversaries can easily compromise sensors because the sensor resources are limited. The compromised nodes can inject false data into the network injecting false data attacks. The injecting false data attack has the goal of consuming unnecessary energy in en-route nodes and causing false alarms in a sink. A bandwidth-efficient cooperative authentication scheme detects this attack based on the random graph characteristics of sensor node deployment and a cooperative bit-compressed authentication technique. Although this scheme maintains a high filtering probability and high reliability in the sensor network, it wastes energy in en-route nodes due to a multireport solution. In this paper, our proposed method effectively selects a number of multireports based on the fuzzy rule-based system. We evaluated the performance in terms of the security level and energy savings in the presence of the injecting false data attacks. The experimental results indicate that the proposed method improves the energy efficiency up to 10% while maintaining the same security level as compared to the existing scheme.

In this paper, a cryptanalysis of key exchange method using multilayer perceptron (CKEMLP) has been proposed in wireless communication of data/information. In this proposed CKEMLP technique both sender and receiver uses an identical multilayer perceptrons for synchronization between them. After achieving the full synchronization weights vectors of both the parties’ becomes identical and this identical weight vector is used as a secret session key for encryption/decryption. Different types of possible attacks during synchronization phase are introduced in this paper. Among different types of attacks some of them can be easily prevented by increasing the synaptic depth L. But few attacks are also there which has a great success rate.

In this paper, a cryptanalysis of key exchange method using multilayer perceptron (CKEMLP) has been proposed in wireless communication of data/information. In this proposed CKEMLP technique both sender and receiver uses an identical multilayer perceptrons for synchronization between them. After achieving the full synchronization weights vectors of both the parties’ becomes identical and this identical weight vector is used as a secret session key for encryption/decryption. Different types of possible attacks during synchronization phase are introduced in this paper. Among different types of attacks some of them can be easily prevented by increasing the synaptic depth L. But few attacks are also there which has a great success rate.

In this paper, a cryptanalysis of key exchange method using multilayer perceptron (CKEMLP) has been proposed in wireless communication of data/information. In this proposed CKEMLP technique both sender and receiver uses an identical multilayer perceptrons for synchronization between them. After achieving the full synchronization weights vectors of both the parties’ becomes identical and this identical weight vector is used as a secret session key for encryption/decryption. Different types of possible attacks during synchronization phase are introduced in this paper. Among different types of attacks some of them can be easily prevented by increasing the synaptic depth L. But few attacks are also there which has a great success rate