in this paper, an anomaly detection method in cluster-based mobile ad hoc networks with ad hoc on demand distance vector (aodv) routing protocol is proposed. in the method, the required features for describing the normal behavior of aodv are defined via step by step analysis of aodv and independent of any attack. in order to learn the normal behavior of aodv, a fuzzy averaging method is used fo...

this paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (rbf) neural networks, i.e. growing and pruning radial basis function (gap-rbf) and minimal resource allocation network (mran) to cater for on-line identification of non-linear systems. the original sequential learning algorithm is based on the repetitive utilization of s...

Adaptive Resonance Theory (ART) networks are employed in robot behavior learning. Two of the difficulties in online robot behavior learning, namely, (1) exponential memory increases with time, (2) difficulty for operators to specify learning tasks accuracy and control learning attention before learning. In order to remedy the aforementioned difficulties, an adaptive categorization mechanism is ...

Real life networks are generally modelled as scale-free networks. Information diffusion in such networks in decentralised environment is a difficult and resource consuming affair. Gossip algorithms have come up as a good solution to this problem. In this paper, we have proposed Adaptive First-Push-Then-Pull gossip algorithm. We show that algorithm works with minimum cost when the transition rou...

Adaptive filtering have been introduced by Widrow, which later led to the development of Neural Networks. I am taking a lot of liberties by borrowing many concepts introduced by Widrow for the purpose of reintroducing the concepts of adaptation into deconvolution. I recommend reading of the book by Widrow and Stearns for further understanding and proofs of the concepts discussed below. I have a...

Most previous work on influence maximization in social networks is limited to the non-adaptive setting in which the marketer is supposed to select all of the seed users, to give free samples or discounts to, up front. A disadvantage of this setting is that the marketer is forced to select all the seeds based solely on a diffusion model. If some of the selected seeds do not perform well, there i...

Analogy and metaphor can be a powerful instructional strategy when used as cognitive tools. In a previous work, we have described a learning environment based on analogy and metaphor and on concept mapping as instructional strategies. In this paper, we concentrate on the hypermedia part of this environment, and we describe the analogy links, the adaptation to the user and a prototype realized f...

In the interactions of a social group, people usually update and express their opinions through the observational learning behaviors. The formed directed networks are adaptive which are influenced by the evolution of opinions; while in turn modify the dynamic process of opinions. We extend the Hegselmann-Krause (HK) model to investigate the coevolution of opinions and observational networks (di...

Traditional reliable link layer protocols set their fixed retransmission timers under the assumption that they operate in isolation over the link. Emerging wireless networks however allow multiple link layer sessions to dynamically share the link. To assess the impact of this development, we examine the performance of Web Browsing over a Selective Repeat protocol with fixed retransmission timer...