A Study on Intrusion Detection System Techniques in CLOUD

Vol. 7 No. 3

Year: 2013

 
Issue: Jan-Mar

Title : A Study on Intrusion Detection System Techniques in CLOUD

   

Author Name : Aramudhan M, N. Thirmoorthi , V. Suresh Kumar , S.S. Mourougan , S. JayaPrakash

Synopsis :  

Cloud environment requires better security due to the exponential growth of information, policies, services, resources, application and users. Flooding attacks such as SYN flood, UDP flood, HTTP flood, and FIN-WAIT have been posing a dangerous threat to Web servers, DNS servers, Mail servers, VoIP servers, etc. These flooding attacks reduce the limited capacity of the server resources and legal users could not able to access the resources of the server. Existing detection techniques used in Firewalls, IPS, IDS, etc., fail to identify the illegitimate traffic due to its self-similarity nature of legitimate traffic, suffer from low detection accuracy and high false alarms. Hence, automatic self intelligent mechanism is needed to identify these attacks that reduce the performance of the server. Intrusion Detection System (IDS) is an updatable, extensible and flexible security component that essential needs for protecting resources from illegitimate traffic and users in cloud environment. This paper deals with the existing computational techniques available with respect to IDS in cloud, their merits and demerits. The contents of this study should provide useful insights into the current IDS literature and be a good source for anyone who is interested in the application of IDSs.
 

Slicing of UML Architectural Models

www.imanagerpublications.com

Vol.7 No.2

Year: 2012

Issue: October-December

Title: Slicing of UML Architectural Models   

Author Name: Sasikala Jayaprakash, S. Narayanan   

Synopsis:   

Dynamic slicing technique is a proposed technique for slicing the architectural model.  The presence of related information in diverse model parts makes dynamic slicing of unified modeling language (UML).  In most cases UML model need to be converted into intermediate representation.  These intermediate representation forms a data structure to be manipulated by the algorithm of specific goals.  Various intermediate representation and associated algorithms produce results of slicing with its salient effectiveness.  Slicing technique is also used to produce the impact analysis among the various model elements in different architecture diagram.  Specifying the slicing criteria is another aspect which can be observable through the previous works.  This paper summarizes all the previous works with their results and methodology.

A Novel Algorithm for Generalized Image Denoising Using Dual Tree Complex Wavelet Transform

Vol.7 No.2

Year: 2012

Issue: October-December

Title: A Novel Algorithm for Generalized Image Denoising Using Dual Tree Complex Wavelet Transform 

Author Name: SK. UMAR FARUQ, K.V. Ramanaiah , K.Soundara Rajan   

Synopsis:   

 With an unfortunate hardship in preserving the significant image content of interest, from an often contamination of noise due to evincing facts like internal element imperfections, scarce of illumination and digitization intrinsic to sensors (CCD Cameras),in addition to the environmental conditions and alignment which are extrinsic in wide variety of applications including satellite television, magnetic resonance imaging, computer tomography as well as in areas of research and technology such as geographical information systems and astronomy have lead its wings to be opened towards an evergreen application of essence in image  processing ,i.e., image denoising. Image denoising is primary task prior to any high level image processing operation, with an underlying goal to remove noise while preserving edges, is still hard striking problem, in a solution to which several algorithms with their specific assumptions, advantages and limitations have been published and  due to their inherent averaging leading to the loss of significant image features of interest in high frequency image denoising. In this paper we discuss the importance of nearly shift invariant, directional selective, dyadic decomposition tree based dual tree complex wavelet transform (DT-CWT) and an intelligent filter module (IFM) which can make the decision of selecting the filter type to denoise the image, to remove the resulting blur based on noise type and produces enthusiastic results in terms of psycho visual quality and performance metrics than those produced by previous tools and techniques.

Automatic Region Detection of Facial Feature using Haar Transform

Vol.7 No.2

Year: 2012

Issue: October-December

Title: Automatic Region Detection of Facial Feature using Haar Transform   

Author Name: N.S Priya   

Synopsis:   

This paper proposes Automatic region detection of facial features in an image that can be important stage for various facial image manipulation works, such as face recognition, facial expression recognition, 3D face modeling and facial features tracking. Region detection of facial features like eye, pupil, mouth, nose, nostrils, lip corners, eye corners etc., with different facial image with neutral region selection and illumination is a challenging task. In this paper, we presented different methods for fully automatic region detection of facial features. Object detector is used along with haar-like cascaded features in order to detect face, eyes and nose. Novel techniques using the basic concepts of facial geometry are proposed to locate the mouth position, nose position and eyes position. The estimation of detection region for features like eye, nose and mouth enhanced the detection accuracy effectively. An algorithm, using the H-plane of the HSV color space is proposed for detecting eye pupil from the eye detected region. Proposed algorithm is tested over 100 frontal face images with two different facial expressions (neutral face and smiling face).

Revisiting the experiment on Content Based Image Retrieval System Using Aliveness Detection

Vol.7 No.2

Year: 2012

Issue: October-December

Title: Revisiting the experiment on Content Based Image Retrieval System Using Aliveness Detection   

Author Name: Dwarkoba Gaikwad   

Synopsis: 

The internet technology is increasing rapidly in the society and industry. In information technology, the people are searching information based on text and images. There are many techniques to extract the required information from the raw data which is in the form of text and images. There are many information searching engines such as Google which mostly use the text-based retrieval techniques. The text based retrieval is used for getting the text information only. But if you want the information in text and image form, then only text based information is not efficient. In the recent years, content based image retrieval techniques have been proposed to search the text and image collectively. Due to its importance in information technology, we have discussed all aspects regarding Content Based Image Retrieval in detail. The objective of this paper is to study the different existing Content Based Image Retrieval techniques and their applications. Our findings are based on reviews of the relevant literature survey which will be very useful for a researcher who is new in Content Based Image Retrieval techniques. We also have presented the content based image retrieval system which is developed at our site. The system is based on similarity measurement of color histograms of image. We have used our own image database of college annual gathering and Engineering Today 2011 technical event for testing the system. We found that the system works properly and gives excellent results. The algorithm is suggested by extending the same experiment which can help for making album.

Analysis on fuzzy membership functions for image segmentation using ultrafuzziness

Vol.7 No.1

Year: 2012

Issue: July-September

Title: Analysis on fuzzy membership functions for image segmentation using ultrafuzziness   

Author Name: seetharama prasad, Kolluri Raju , Ch Venkata Narayana   

Synopsis:   

In this paper, a study on  fuzzy membership functions   for image segmentation using ultrafuzziness is conducted. In this work, Tizhoosh membership function which is totally supervised, Huang & Wang membership function and S-function are   considered. This work is an improvement of an existing work of Tizhoosh. Each membership function has its own merits and demerits in the computation process.  Using fuzzy logic concepts, the problems involved in finding the minimum/maximum of a entropy criterion function are avoided. We attempt to make it clear that identifying the better membership function to assign the fuzzy membership grade to every pixel in the image, for optimum image segmentation using ultrafuzziness. For low contrast images contrast enhancement is assumed. Experimental results demonstrate a quantitative improvement with S-function over other two other functions.

Medical Data Handling Using Cloud Computing And A Proposal for Countrywide Medical System

Vol.7 No.1

Year: 2012

Issue: July-September

Title: Medical Data Handling Using Cloud Computing And A Proposal for Countrywide Medical System   

Author Name: Samayita Bhattacharya, Kalyani Mali   

Synopsis:   

This paper focuses on hosting and analyzing medical diagnostic data using cloud computing. Cloud computing is a general term for anything that involves delivering hosted services over the Internet. This is a project proposal for medical database system using cloud computing. The proposed database system can provide new delivery models to make healthcare more efficient and effective, and at a lower cost to technology budgets.