Wireless Body Area Network is an essential part of IOT (internet of thing) which benefits in gathering data from the body surface area. The wireless body area network is the type of network in which sensor devices can sense the body conditions and pass to base station. It has number of applications for health monitoring. To maintain the quality of dissemination of the observed data, data aggregation techniques are immensely used. The foremost aim of data aggregation method is to assemble and cluster data packets in a well-organized and cos-effective way so as to minimize power consumption, to intensify network life time, delay, traffic congestion etc. In wireless body area network data aggregation with high delay tolerance is of utmost importance. In WBAN, delay tolerant network means in the network data storage node is formed which is used to the information transmission. This paper work is based on the study of different data aggregation methods and delay tolerant network to reduce delay in the network.
Conventional methods for anomaly detection include techniques based on clustering, proximity or classification. With the rapidly growing social networks, outliers or anomalies find ingenious ways to obscure themselves in the network and making the conventional techniques inefficient. In this paper, we utilize the ability of Deep Learning over topological characteristics of a social network to detect anomalies in email network and twitter network. We present a model, Graph Neural Network, which is applied on social connection graphs to detect anomalies. The combinations of various social network statistical measures are taken into account to study the graph structure and functioning of the anomalous nodes by employing deep neural networks on it. The hidden layer of the neural network plays an important role in finding the impact of statistical measure combination in anomaly detection.
Genetic Algorithm (GA) may be attributed as method for optimizing the search tool for difficult problems based on genetics selection principle. In additions to Optimization it also serves the purpose of machine learning and for Research and development. It is analogous to biology for chromosome generation with variables such as selection, crossover and mutation together constituting genetic operations which would be applicable on a random population initially. GA aims to yield solutions for the consecutive generations. The extent of success in individual production is directly in proportion to fitness of solution which is represented by it, thereby ensuring that quality in successive generations will be better. The process is concluded once an GA is most suitable for the issues that need optimization associated with some computable system.. John Holland may be regarded as funding father of original genetic algorithm and is attributed to year 1970's as funding date. Additionally a random search method represented by Charles Darwin for a defined search space in order to effetely solve a problem. In this paper, what is genetic algorithm and its basic workflow is discussed how a genetic algorithm work and what are the process is included in this is also discussed. Further, the features and application of genetic algorithm are mentioned in the paper.
Internet today is the backbone of virtual communication worldwide. It is expanding its horizon with a fast pace. Internet is rightly defined as “network of networks”. It is, in most simple terms, a means of establishing a connection between your computer and any other computer globally through servers and some dedicated routers. The major form of communication of current Internet is among humans (i.e. human-to-human). The next upcoming form of communication that uses Internet as the underlying technology is The Internet of Things (IoT). IoT extends the capabilities of Internet to enable machine-to-machine communication (M2M).Therefore, IoT can be said to provide communication among everyone and everything. IoT enables us to embed some sort of intelligence in the objects that are or can be connected to the Internet in order to exchange information, hence communicate, invoke certain actions based on inputs, take decisions and provide useful services. In this paper, the basic underlying workflow of IoT is discussed and the architecture of IoT is explained. The paper also highlights the most useful technologies of these days, which employ IoT for their functioning. Further, the applications and features of IoT are mentioned in the paper. Lastly, the issues and challenges in implementing the IoT are briefly discussed. The IoT today is gaining a lot of recognition due to its potential that is yet to be extracted by the industry, academia and government as well. These sectors can bring huge economic and professional benefits by employing IoT in the right manner.
Distributed Denial of Service (DDoS) strike is a malevolent undertaking to irritate regular action of a concentrated on server, organization or framework by overwhelming the goal or its incorporating establishment with a flood of Internet development. DDoS ambushes achieve feasibility by utilizing different exchanged off PC structures as wellsprings of strike action. Mishandled machines can join PCs and other masterminded resources, for instance, IoT contraptions. From an anomalous express, a DDoS attack looks like a vehicle convergence ceasing up with the road, shielding standard action from meeting up at its pined for objective.
