Performance Analysis of Multimedia Compression Algorithms

In this paper, we are evaluating the performance of Huffman and Run Length Encoding compression algorithms with multimedia data. We have used different types of multimedia formats such as images and text. Extensive experimentation with different file sizes was used to compare both algorithms evaluating the compression ratio and compression time. Huffman algorithm showed consistent performance compared to Run Length encoding

Performance Evaluation of AODV and DSR Routing Protocols in MANET Networks

Extensive use of wireless networks in different fields increases the need to improve their performance, as well as minimize the amplitude of loss messages. Device mobility, where there is no standard topology that can be applied or fixed routing that can be designed, is a topic that received recent attention in wireless networks. In a Mobile Ad Hoc Network (MANET), some nodes may join the network while others may leave. In this paper, we analyze a MANET’s performance for two proactive protocols; Ad Hoc On-Demand Distance Vector (AODV) Protocol, and Dynamic Source Routing (DSR) Protocol. By using network simulator NS2, we setup and evaluate the performance of AODV and DSR protocols with respect to the packets’size

Adaptive Equalization: LMS, RLS and CMA

This poster presents performance evaluation of adaptive equalizers (LMS, RLS and CMA) using different Quadrature Amplitude Modulation (QAM) techniques (4-QAM, 8-QAM); using Frequency Flat Fading and Frequency Selective Fading

Applying Machine Learning to Anomaly-Based Intrusion Detection Systems

The enormous growth of Internet-based traffic exposes corporate networks with a wide variety of vulnerabilities. Intrusive traffics are affecting the normal functionality of network\u27s operation by consuming corporate resources and time. Efficient ways of identifying, protecting, and mitigating from intrusive incidents enhance productivity. As Intrusion Detection System (IDS) is hosted in the network and at the user machine level to oversee the malicious traffic in the network and at the individual computer, it is one of the critical components of a network and host security. Unsupervised anomaly traffic detection techniques are improving over time. This research aims to find an efficient classifier that detects anomaly traffic from NSL-KDD dataset with high accuracy level and minimal error rate by experimenting with five machine learning techniques. Five binary classifiers: Stochastic Gradient Decent, Random Forests, Logistic Regression, Support Vector Machine, and Sequential Model are tested and validated to produce the result. The outcome demonstrates that Random Forest Classifier outperforms the other four classifiers with and without applying the normalization process to the dataset

Evaluation of Routing Protocols with FTP and P2P

One of the decisions that need to be made when designing and configuring a computer network in which routing protocol should be used. This paper presents a simulation of a high load File Transfer Protocol (FTP) Application and a high load Peer to Peer (P2P) Application using Riverbed Academic Modeler 17.5. The simulation is configured and run in a World environment to replicate a global network. Each simulation employs either RIP, OSPF, or EIGRP routing protocol. The queuing delay, throughput, link utilization, and IP packets dropped are used as performance parameters to determine which routing protocol is the most efficient for this network setup

A Robust and Secure Video Steganography Method in DWT-DCT Domains Based on Multiple Object Tracking and ECC

Over the past few decades, the art of secretly embedding and communicating digital data has gained enormous attention because of the technological development in both digital contents and communication. The imperceptibility, hiding capacity, and robustness against attacks are three main requirements that any video steganography method should take into consideration. In this paper, a robust and secure video steganographic algorithm in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains based on the multiple object tracking (MOT) algorithm and error correcting codes is proposed. The secret message is preprocessed by applying both Hamming and Bose, Chaudhuri, and Hocquenghem codes for encoding the secret data. First, motion-based MOT algorithm is implemented on host videos to distinguish the regions of interest in the moving objects. Then, the data hiding process is performed by concealing the secret message into the DWT and DCT coefficients of all motion regions in the video depending on foreground masks. Our experimental results illustrate that the suggested algorithm not only improves the embedding capacity and imperceptibility but also enhances its security and robustness by encoding the secret message and withstanding against various attacks

Novel Steganography Over HTML Code Process

Different security strategies have been developed to protect the transfer of information between users. This has become especially important after the tremendous growth of internet use. Encryption techniques convert readable data into a ciphered form. Other techniques hide the message in another file, and some powerful techniques combine hiding and encryption concepts

A Dynamic Clustering Algorithm for Object Tracking and Localization in WSN

A Wireless Sensor Network (WSN) is an assemblage of cooperative sensor nodes acting together into an environment to monitor an event of interest. However, one of the most limiting factors is the energy constrain for each node; therefore, it is a trade-off is required for that factor in designing of a network, while reporting, tracking or visualizing an event to be considered. In this paper, two object tracking techniques used in Wireless Sensor Networks based on cluster algorithms have been combined together to perform many functions in the proposed algorithm. The benefit of using clusters algorithms can be count as the detection node in a cluster reports an event to the Cluster Head (CH) node according to a query, and then the CH sends all the collected information to the sink or the base station. This way reduces energy consuming and required communication bandwidth. Furthermore, the algorithm is highly scalable while it prolongs the life time of the network

Performance Evaluation of Routing Protocols in Wireless Sensor Networks

The efficiency of sensor networks strongly depends on the routing protocol used. In this paper, we analyze three different types of routing protocols: LEACH, PEGASIS, and VGA. Sensor networks are simulated using Sensoria simulator. Several simulations are conducted to analyze the performance of these protocols including the power consumption and overall network performance. The simulation results, using same limited sensing range value, show that PEGASIS outperforms all other protocols while LEACH has better performance than VGA. Furthermore, the paper investigates the power consumption for all protocols. On the average, VGA has the worst power consumption when the sensing range is limited, while VGA is the best when the sensing range is increased

Deployment of Stream Control Transmission Protocol (SCTP) to Maintain the Applications of Data Centers

With developments of real-time applications into data centers, the need for alternatives of the standard TCP protocol has been prime demand in several applications of data centers. The several alternatives of TCP protocol has been proposed but SCTP has edge due to its several well-built characteristics that make it capable to work efficiently. In this paper, we examine the features of SCTP into data centers like Multi-streaming and Multi-Homing over the features of TCP protocol. In this paper, our objective is to introduce internal problems of data centers. Robust transport protocol reduces the problems with some extend. Focusing the problems of data centers, we also examine weakness of highly deployed standard TCP, and evaluate the performance of SCTP in context of faster communication for data centers. We also discover some weaknesses and shortcomings of SCTP into data centers and try to propose some ways to avoid them by maintaining SCTP native features. To validate strength and weakness of TCP and SCTP, we use ns2 for simulation in context of data center. On basis of findings, we highlight major strength of SCTP. At the end, we Implement finer grain TCP locking mechanisms for larger messages.http://arxiv.org/abs/1311.263