Global Journal of Computer Science and Technology (GJCST)
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Identity Mapping Scheme with CBDS Approach to Secure MANET
Get PDFA MANET is considered as self administrating network in which nodes are free to come and join to communicate with various nodes. A network which has a lot of advantages for its characteristics also has disadvantage of being attacked by some malicious node. Since MANET requires that each node should posses a unique, distinct identity, Sybil attack is one of the major threat to MANET. A Sybil attack is in which a node can have different physical identity to weak the distributed MANET system. In this paper, we propose a identity mapping scheme which is implemented with the collaborative bait detection scheme for securing MANET against Sybil attack, black hole attack and gray hole attack. Approach is merged with the CBDS approach for making system more secure against various attacks. Proposed scheme is simulated on NS2 and compared with the Sybil detection scheme on various performance metrics
Optical Wireless Home Automation System
Get PDFHome Automation increases safety, time- saving and right resources utilization and deploys software engineering holistic view through achieving high quality and cost effectiveness. This article presents an Optical Wireless Home Automation System that allows the user to control home appliances by using Android application, mobile phones and optical hardware. The implementation of this project is achieved by using combination of Android platform, internet network and new technology for home Automation (optical hardware development). The results of the system are shown sequentially. The demonstration of the system is able to execute accurately and efficiently based on the real-time information. In nutshell, this project is feasible and suitable to further develop with the increasing needs on home automation syste
A New Efficient Cloud Model for Data Intensive Application
Get PDFCloud computing play an important role in data intensive application since it provide a consistent performance over time and it provide scalability and good fault tolerant mechanism Hadoop provide a scalable data intensive map reduce architecture Hadoop map task are executed on large cluster and consumes lot of energy and resources Executing these tasks requires lot of resource and energy which are expensive so minimizing the cost and resource is critical for a map reduce application So here in this paper we propose a new novel efficient cloud structure algorithm for data processing or computation on azure cloud Here we propose an efficient BSP based dynamic scheduling algorithm for iterative MapReduce for data intensive application on Microsoft azure cloud platform Our framework can be used on different domain application such as data analysis medical research dataminining etc Here we analyze the performance of our system by using a co-located cashing on the worker role and how it is improving the performance of data intensive application over Hadoop map reduce data intrinsic application The experimental result shows that our proposed framework properly utilizes cloud infrastructure service management overheads bandwith bottleneck and it is high scalable fault tolerant and efficien
Seismic Data Compression using Wave Atom Transform
Get PDFSeismic data compression SDC is crucially confronted in the oil Industry with large data volumes and Incomplete data measurements In this research we present a comprehensive method of exploiting wave packets to perform seismic data compression Wave atoms are the modern addition to the collection of mathematical transforms for harmonic computational analysis Wave atoms are variant of 2D wavelet packets that keep an isotropic aspect ratio Wave atoms have a spiky frequency localization that cannot be attained using a filter bank based on wavelet packets and offer a significantly sparser expansion for oscillatory functions than wavelets curvelets and Gabor atom
Operational Analysis of Private Cloud using Eucalyptus
Get PDFDistributed environment is an invoking idea in computer field since it gave permissions that the assets to be purveyed according to the client needs 1 The paper addresses the system of arrangement of a private cloud in improving the practical furthest reaches of cloud processing at compelled states of arrangement It is the review of all previous research based on Private Cloud using Eucalyptus It gives benefits on virtual machines where the client impart assets programming and different gadgets on interest Cloud administrations are backed with proprietor and Open Source Systems OSS As Restrictive items remain exceptionally costly clients unable to permitted test on their item and protection is a significant affair in it Cloud registering frameworks in a broad sense give access to expansive pools of information and computational assets through a mixed bag of interfaces These sorts of frameworks offer another programming focus for versatile application engineers and have picked up ubiquity over the recent years Then again most distributed computing frameworks in operation today are exclusive depend upon base that is undetectable to the research group or are not unequivocally intended to be instrumented and adjusted by frameworks specialist
A Study on Preprocessing and Feature Extraction in offline Handwritten Signatures
No full textIn offline handwritten signature verification process preprocessing of the signature is the very fast and most essential part In some cases the raw signature can include extra pixel known as noises or may not be in proper form where preprocessing is mandatory If a signature is preprocessed correctly it leads to a better result for both signature matching and forgery detection Pre-processing includes binarization noise removal thinning orientation etc Many experiments and techniques have already been proposed for implementing these processes and some of them have shown exclusive and spectacular results Regarding to this situation we have studied several preprocessing steps signature features feature detectors and also implemented some of them using MATLAB software We have studied several image processing algorithms and proposed an algorithm to correct the alignment of the input signature which can be used at the preprocessing stage to achieve better results in the signature detection process We have tried to find a baseline of the handwritten signature and align it with respect to the baselin
Dual-Region Reputation based Resource Management in Mobile Ad hoc Networks
Get PDFA mobile ad hoc network MANET is a kind of wireless ad hoc network It is a selfconfiguring network of mobile routers connected by wireless links Since MANETs do not have a fixed infrastructure it is a challenge to manage both mobility as well as resource utilizations for Ad hoc networks In this paper I propose a Reputation management scheme called reputation factor RF effective resource selection using the reputation based approaches for node selection The developed resource allocation algorithm is based on different parameters like time cost number of processor request etc The developed priority algorithm is used for a better resource allocation of jobs in the network environment used for the simulation of different models or jobs in an efficient way After the efficient resource allocation of various jobs an evaluation is being carried out which illustrates the better performance Performance is evaluated by using simulatio
Cyber Forensic Investigation and Exploration on Cloud Computing Environment
Get PDFCloud service providers are providing more services on demand. Usage of Cloud in IT Industry, Educational Institution, Social network, Medical Field and other business Industry are tremendously increased. This increases the more criminal activity on cloud. There is a need for forensic capabilities which support investigations of crime in cyber cloud. We need better secured model for cloud deployment and forensic investigation techniques to extract evidence from cloud-based environments in case of any cyber attack. This paper discusses the comprehensive models that provides cyber Forensics capabilities on cloud computing
Usability Evaluation of Learning Management Systems in Sri Lankan Universities
Get PDFAs far as Learning Management System is concerned, it offers an integrated platform for educational materials, distribution and management of learning as well as accessibility by a range of users in cluding teachers, learners and content makerses pecially for distance learning. Usability evaluation is considered as one approach to assess the efficiency of e-Learning systems. It is used to evaluate how well technology and tools are working for users. There are some factors contributing as major reasons why the LMS is not used effectively and regularly. Learning Management Systems, as major part of e-Learning systems, can benefit from usability research to evaluate the LMS ease of use and satisfaction among its handlers. Many academic institutions worldwide prefer using their own customized Learning Management Systems; this is the case with Moodle, an open source LMS platform designed and operated by most of the universities in Sri Lanka
Automatic Classification and Segmentation of Tumors from Skull Stripped Images using PNN
Get PDFAutomatic classification of brain tumor is area of concern from last few decades for better perceptive analysis in accurate manner. In this paper an automatic brain tumor classification approach namely probabilistic neural network are proposed with image and data processing techniques. The conventional algorithms which are reported in the literature are not automatic in nature and mainly their processing is based on human inspection. Then after some time a new classification approaches came into existence by overcoming the disadvantages of conventional algorithms namely Operator assisted classification methods which proves impractical for huge data amounts and simultaneously it is non-reproducible. The MR brain tumor images contains the noise like content which is mainly caused by the operator performance while processing and this noise results in highly inaccurate classification analysis. For better accuracy in classification of tumor image artificial intelligent techniques like fuzzy logic and neural networks usage are encouraged these days