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The success of organizations largely depends on continual investment in learning and acquiring new knowledge that creates new businesses and improve existing performance. So, using Knowledge management must result in better achieving, or even exceeding, organizations objectives. The purpose of knowledge management must not be to just become more knowledgeable, but to be able to create, transfer and apply knowledge with the purpose of better achieving objectives. As new technologies and paradigms emerge, businesses have to make new efforts to properly get aligned with them, especially in knowledge management area. Today the Cloud Computing paradigm is becoming more and more popular, due to the vast decrease in time, cost and effort for meeting software development needs. It also provides a great means for gathering and redistributing knowledge. In this paper, we will discuss the benefits and risks of using cloud computing in knowledge management systems.

Knowledge Management in the Cloud: Benefits and Risks

Editor IJCATR

With the rapid expansion of computer usage and computer network the security of the computer system has became very important. Every day new kind of attacks are being faced by industries. Many methods have been proposed for the development of intrusion detection system using artificial intelligence technique. In this paper we will have a look at an algorithm based on neural networks that are suitable for Intrusion Detection Systems (IDS). The name of this algorithm is "Self Organizing Maps" (SOM). So far, many different methods have been used to build a detector that Wide variety of different ways in the covers. Among the methods used to detect attacks in intrusion detection is done, In this paper we investigate the Self-Organizing Map method.

Intrusion Detection System Using Self Organizing Map Algorithms

Editor IJCATR

Tas Logo1

daingraham

Judges 2b

Gospel Baptist Tabernacle

Processing packets across Mobile Ad hoc Network, Topology control minimize interference among node in a network, increase the network capacity and extend lifetime of the network. Emerging research in mobile ad hoc networks (MANETs) says, there is a growing requirement of quality of service (QoS) in terms of delay. In order to resolve the delay problem, it is essential to consider topology control in delay constrained environment with energy efficient. In this paper, we discuss reduced delay and minimum distributed topology control algorithm for mobile ad hoc networks. In this proposed system, we study on the delay-constrained topology control problem, and take into account delay and energy efficiency. Simulation results are presented demonstrating the effectiveness of this new technique as compared to other approaches to topology control.

EEDTCA: Energy Efficient, Reduced Delay and Minimum Distributed Topology Cont...

Editor IJCATR

A web-based working memory (WM) test system is a management system website that allows students to test their ability and skills in remembering visual patterns. It also enables you to record and store the data for individuals. The system is developed using HTML, PHP and MySQL as a database system to manage and store the data. The system targets several users: children and adults who suffer from attention deficit or learning problems. The main objectives for developing the website are to educate the community on the benefits of performing the working memory test of the activity of the brain and improvements in social skills and improving poor academic and professional performance, especially in maths and reading comprehension. This study implements a set of tasks, testing 59 adults aged 18-24 years of age at King Abdul-Aziz University for testing and measuring WM and cognitive abilities. Results showed tests depended on the age entry by the user. The implications of the test results will help people know their WM level before ascertaining the appropriate suggestions, and to make the test suit our society.

Ijcatr04071002

Editor IJCATR

Pre K Week 1 09 10

daohoanu

Botnet is a number of computers that have been set up to forward transmissions to other computers unknowingly to the user of the system and it is most significant to detect the botnets. However, peer-to-peer (P2P) structured botnets are very difficult to detect because, it doesn’t have any centralized server. In this paper, we deliver an infrastructure of P2P that will improve the trust of the peers and its data. In order to identify the botnets we provide a technique called data provenance integrity. It will ensure the correct origin or source of information and prevents opponents from using host resources. A reputation based trust model is used for selecting the trusted peer. In this model, each peer has a reputation value which is calculated based on its past activity. Here a hash table is used for efficient file searching and data stored in it is based on the reputation value.

Enhanced Detection System for Trust Aware P2P Communication Networks

Editor IJCATR

Kitchen Rendering

guestf01504

Pozuel del campo

IES La Azucarera

Code clone detection is an important area of research as reusability is a key factor in software evolution. Duplicate code degrades the design and structure of software and software qualities like readability, changeability, maintainability. Code clone increases the maintenance cost as incorrect changes in copied code may lead to more errors. In this paper we address structural code similarity detection and propose new methods to detect structural clones using structure of control statements. By structure we mean order of control statements used in the source code. We have considered two orders of control structures: (i) Sequence of control statements as it appears (ii) Execution flow of control statements.

Duplicate Code Detection using Control Statements

Editor IJCATR

Photo-oxygenation of trans anethole (1), the main constituent of anise essential oil, using tetraphenylporphyrine (TPP) as a singlet oxygen sensitizer in chloroform gave 4-methoxybenzaldehyde (p-anisaldhyde) (2), 2-(4-methoxyphenyl)propan-2-ol (3) as well as erythro and threo 1-(4-methoxyphenyl)propane-1,2-diol (4a, 4b). The structures of the photo-oxygenation products were elucidated by spectral means.

Photo-Oxygenation of Trans Anethole

Editor IJCATR

One of the most effective way to prevent unauthorized and corrupted message from being forward in wireless sensor network. So to restrict these problems many authentication schemes have been developed based on symmetric key cryptosystem. But there is high computational and communication overhead in addition to lack of scalability and resilience to node compromise attacks. So to address these isuues polynomial based scheme[1] was introduced. But in these methods it having the threshold problem that means to send the limited message only because to send larger number of message means the attacker can fully recover. So in my existing system a scalable message authentication scheme based on elliptic curve cryptography. This scheme allows any node to transmit an unlimited number of messages without suffering the threshold problem. But these method only detect the black hole and grey hole attacks are dected but does not detect the worm hole attack. In my proposed system to detect the worm hole attack. Worm hole attack is one of the harmful attack to which degrade the network performance. So, in the proposed system, one innovative technique is introduced which is called an efficient wormhole detection mechanism in the wireless sensor networks. In this method, considers the RTT between two successive nodes and those nodes‟ neighbor number which is needed to compare those values of other successive nodes. The identification of wormhole attacks is based on the two faces. The first consideration is that the transmission time between two wormhole attack affected nodes is considerable higher than that between two normal neighbor nodes. The second detection mechanism is based on the fact that by introducing new links into the network, the adversary increases the number of neighbors of the nodes within its radius. An experimental result shows that the proposed method achieves high network performance..

Hop- by- Hop Message Authentication and Wormhole Detection Mechanism in Wirel...

Editor IJCATR

Dany

danyrohan

Dynamic Chunks Distribution Scheme for Multiservice Load Balancing Using Fibo...

Editor IJCATR

Security improvements Zone Routing Protocol in Mobile Ad Hoc Network

Editor IJCATR

Generally, the botnet is one of the most dangerous threats in the network. It has number attackers in the network. The attacker consists of DDOS attack, remote attack, etc., Bots perform perform repetitive tasks automatically or on a schedule over the internet, tasks that would be too mundane or time-consuming for an actual person. But the botnets have stealthy behavior as they are very difficult to identify. These botnets have to be identified and the internet have to be protected. Also the the activity of botnets must be prevented to provide the users, a reliable service. The past of botnet detection has a transaction process which is not secure. A efficient stastical data classifier is required to train the botent preventions system. To provide the above features clustering based analysis is done. our approach can detect and profile various P2P applications rather than identifying a specific P2P application. Anomaly based detection technique is used to obtain this goal.

Guarding Against Large-Scale Scrabble In Social Network

Editor IJCATR

This paper presents a technique for document image binarization that segments the foreground text accurately from poorly degraded document images. The proposed technique is based on the Segmentation of text from poorly degraded document images and it is a very demanding job due to the high variation between the background and the foreground of the document. This paper pr oposes a novel document image binarization technique that segments t he texts by using adaptive image contrast. It is a combination of the local image contrast and the local image gradient that is efficient to overcome variations in text and background caused by d ifferent types degradation effects. In the proposed technique , first an adaptive contrast map is constructed for a degraded input document image. The contrast map is then binarized by global thresholding and pooled with Canny’s edge map detection to identify the t ext stroke edge pixels. By applying Segmentation the text is further segmented by a local thresholding method that. The proposed method is simple, strong, and requires minimum parameter tuning

A Novel Document Image Binarization For Optical Character Recognition

Editor IJCATR

Destaque (18)

Knowledge Management in the Cloud: Benefits and Risks

Intrusion Detection System Using Self Organizing Map Algorithms

Tas Logo1

Judges 2b

EEDTCA: Energy Efficient, Reduced Delay and Minimum Distributed Topology Cont...

Ijcatr04071002

Pre K Week 1 09 10

Enhanced Detection System for Trust Aware P2P Communication Networks

Kitchen Rendering

Pozuel del campo

Duplicate Code Detection using Control Statements

Photo-Oxygenation of Trans Anethole

Hop- by- Hop Message Authentication and Wormhole Detection Mechanism in Wirel...

Dany

Dynamic Chunks Distribution Scheme for Multiservice Load Balancing Using Fibo...

Security improvements Zone Routing Protocol in Mobile Ad Hoc Network

Guarding Against Large-Scale Scrabble In Social Network

A Novel Document Image Binarization For Optical Character Recognition

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