Iraqi Journal for Computers and Informatics
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Compression image sharing using DCT- Wavelet transform and coding by Blackely method
Get PDFThe increased use of computer and internet had been related to the wide use of multimedia information. The requirement forprotecting this information has risen dramatically. To prevent the confidential information from being tampered with, one needs toapply some cryptographic techniques. Most of cryptographic strategies have one similar weak point that is the information is centralized.To overcome this drawback the secret sharing was introduced. It’s a technique to distribute a secret among a group of members, suchthat every member owns a share of the secret; but only a particular combination of shares could reveal the secret. Individual sharesreveal nothing about the secret. The major challenge faces image secret sharing is the shadow size; that\u27s the complete size of the lowestneeded of shares for revealing is greater than the original secret file. So the core of this work is to use different transform codingstrategies in order to get as much as possible the smallest share size. In this paper Compressive Sharing System for Images UsingTransform Coding and Blackely Method based on transform coding illustration are introduced. The introduced compressive secretsharing scheme using an appropriate transform (Discrete cosine transform and Wavelet) are applied to de-correlate the image samples,then feeding the output (i.e., compressed image data) to the diffusion scheme which is applied to remove any statistical redundancy orbits of important attribute that will exist within the compressed stream and in the last the (k, n) threshold secret sharing scheme, where nis the number of generated shares and k is the minimum needed shares for revealing. For making a certain high security level, eachproduced share is passed through stream ciphering depends on an individual encryption key belongs to the shareholder
Developing Energy Aware Distributed Aggregation Tree Technique for Wireless Sensor Networks
Get PDFWireless sensor network WSN consists of small sensor nodes with limited resources, which are sensing,
gathering and transmitting data to base station. Sensors of various types are deployed ubiquitously and widely in varied
environments for instance, wildlife reserves, battlefields, mobile networks and office building. Sensor nodes are having
restricted and non replenishable power resources and this is regarded as one of the main of their critical limits. All
applied techniques and protocols on sensor nodes must take into consideration their power limitation. Data aggregation
techniques are used by sensor nodes in order to minimize the power consumption by organizing the communication
among sensor nodes and eliminating the redundant of sensed data. This paper proposed lightweight modification on data
aggregation technique named Energy Aware Distributed Aggregation Tree EADAT. The main principle of this
development is using the available information in sensor nodes to pass the role of parent node among sensor nodes in
each cluster. The process of passing parent node role is based on nominating the sensor nodes which have higher power
on regular bases. A model based on tree network architecture is designed for validation purpose and is used with NS2
simulator to test the proposed development. EADAT and EADAT with proposed development are applied on the designed
model and the results were promisin
Enhance the Hiding Image by Using Compression and Securing Techniques
Get PDFInformation security is a huge trending topic in recent year. Many technique and algorithm were designed and developed toachieve the security of information and/or network across the world. Cryptography is one of the most common tools to provide suchsecurity. Nevertheless, steganography also provide a good security by hiding data within a media in a way that an attacker can\u27t sensethe presence of the secret data. Compression don\u27t normally imply any security , however , it messes up the original encoding of the dataand reduces its size by a measureable amount which makes it perfect for hiding .In this paper a system was proposed where a secretimage is compressed before encryption and hiding. JPEG algorithm was used for the compressing, while at the encryption stage RC4algorithm was used due to its fast processing speed. LSB (Least Significant Bit) technique then applied to hide the secret data within thecover image
Corners-based Image Information Hiding Method
Get PDFThe huge explosion of information over World Wide Web forces us to use information security methods to keep it away fromintruders. One of these security methods is information hiding method. Advantage of this method over other security methods is hidingexistence of data using carrier to hold this data embedding inside it. Image-based information hiding represents one of widely usedhiding methods due to the image capability of holding large amount of data as well as its resistance to detectable distortion. In lastdecades, statistical methods (types of stego-analysis methods) are used to detect existing of hidden data. Therefore, areas that have colorvariation (edges area) are used to hide data instead of smooth areas. In this paper, Corners points are proposed to hide data instead ofedges, this to avoid statistical attacks that are used to expose hidden message. Additionally, this paper proposes clearing least significantbit (CLSB) method to retrieve data from stego-image without sending pixels\u27 map; this will increase security of the proposed cornerbasedhiding method. Experimental results show that the proposed method is robust against statistical attacks compared with edge-and sequential-based hiding methods. SVM classifier also confirms the outperformance of the proposed method over the previous methods by using Corel-1000image dataset
The Concept of Building a Model of the National Blood Information System
Get PDFThe development of modern information technologies in medicine makes actually the creation of the nationalInformation Systems (IS) for joint activities of medical institutions, improve the quality of health services and improvemanagement in the health sector. One of the components of healthcare is the system of Blood Service (BS). In this work the concept ofbuilding the national system is considered on example of the IS of BS. The national IS of BS aims to track relevant information onindicators of the quality of blood products through information integration BS establishments, makes it possible to increase thelevel of infectious safety and quality of transfusion care. The models of integration IS of BS are offered on the conceptual level inthis work for information exchange organization between BS establishments. The analysis of structures of models of integratedsystems is carried out to select the rational national IS of BS
The Usage of Cloud Computing in Education
Get PDFCloud computing-based technology has become in many modern organizations concerned with educationinstitutions. It will likely have a significant impact on the educational environment in the future. Universities takeadvantage of available cloud applications offered by service providers and enable their own users/students to performbusiness and academic tasks.In this paper, reviewing what the cloud computing infrastructure will provide, a literature review providing thecontext from the infrastructure, application and services aspect of cloud computing, it was also look for the answers of itsbenefits to higher education institutions and different educational uses. Also introduce cloud computing to educatorsand help them to gain a better understanding of the conception of cloud technology and its impact on teaching and learning ininstitutions
Distributed Agents for Web Content Filtering
Get PDFThis paper describe Web Content Filtering that aimed to block out offensive material by using DistributedAgents. The proposed system using FCM algorithm and other page\u27s features (Title, Metadata , Warning Message) to classifythe websites (using as candidate) into two types:- white that considered acceptable, and black that contain harmful materialtaking the English Pornographic websites as a case study
Audio Hiding based on Wavelet Transform and Linear Predictive Coding
Get PDFIn this work an efficient method for hiding a speech in audio is proposed. The features of secretspeech is extracted with LPC (Linear Predictive Coding), and these parameters embedded in audio inchaotic order. Discrete Wavelet Transform (DWT) is applied on audio frames to split the signal in high andlow frequencies. The embedding parameters are embedded in high frequency. The stego audio isperceptually indistinguishable from the equivalent cover audio. The proposed method allows hiding a sameduration of speech (secret) and audio (cover). The stego audio is subjected to objective tests such signal to noiseratio (SNR), signal to noise ratio segmental (SNRseg), Segmental Spectral SNR, Log Likelihood Ratio (LLR)and Correlation (Rxy) to determine the similarity with original audio
SECURE VIDEO CODED SYSTEM MODEL
Get PDFIn this paper, overall system model, shown in Figure (1), of video compression-encryption-transmitter/decompression-dencryption-receiver was designed and implemented. The modified video codec system has used and in addition to compression/decompression, theencryption/decryption video signal by using chaotic neural network (CNN) algorithm was done. Both of quantized vector data and motion vector data have been encrypted by CNN. The compressed and encrypted video data stream has been sent to receiver by using orthogonal frequency division multiplexing (OFDM) modulation technique. The system model was designed according to video signal sample size of 176 × 144 (QCIFstandard format) with rate of 30 frames per second. Overall system model integrates and operates successfully with acceptable performance results
Enhancing of DBSCAN based on Sampling and Densitybased Separation
Get PDFDBSCAN (Density-Based Clustering of Applications with Noise )is one of the attractive algorithms among densitybased clustering algorithms. It characterized by its ability to detect clusters of various sizes and shapes with the presence of noise, but its performance degrades when data have different densities .In this paper, we proposed a new technique to separate data based on its density with a new samplingtechnique , the purpose of these new techniques is for getting data with homogenous density .The experimental results onsynthetic data and real world data show that the new technique enhanced the clustering of DBSCAN to large extent