Global Journal of Computer Science and Technology (GJCST)
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A New Networks Intrusion Detection Architecture based on Neural Networks
Get PDFNetworks intrusion detection systems allow to detect attacks which cannot be detected by firewalls The false positive and false negative problem tend to make IDS inefficient To improve those systems performances it is necessary to select the most relevant that will lead to characterize a normal profile or an attack We have proposed in this paper a new intrusion detection system architecture and a scheme to flexibly select groups of attributes using neural networks in order to improve results that we have got with our architecture The selection approach is based on a contribution criteria that we have defined in function of precision measures of type HVS Heuristic for Variable Selection The selected subset depends on a threshold that we make vary in function of a defined criteria He have done a comparative study of this approach and the one without attributes selection A comparative study has also been done with others works The NSL-KDD dataset has been used to train teste and evaluate our scheme Our Works shows satisfactory result
Secure and Economical Cost Aware Routing Protocol in Wireless Sensor Networks
Get PDFThe main objective of the paper is to supply security and to expand the network lifetime The energy management domain is selected to reinforce the security system in wireless sensor networks A typical wireless sensor network consists of many trivial and low-power sensors that sense radio frequencies to perform disseminate sensing tasks These nodes typically have really restri cted and non-replenish prepared energy resources that produces energy and an important vogue issue for these networks Routing is another really troublesome vogue issue for WSNs Properly designed routing protocol not absolutely guarantees high message delivery relation and low energy consumption for message delivery but in addition it should balance the full sensor network energy consumption and thereby extend the sensor network fundamental measure Throughout this paper the tendency to confer Secure and Economical value Aware Secure Routing protocol for WSNs to balance the energy consumption and enhance the network fundamental measure Further the tendency to reinforce very cheap work to avoid the fake energy indicator nodes by victimizing the house parameter
Texture Image Segmentation using Morphology in Wavelet Transforms
Get PDFOne of the essential and crucial steps for image understanding, interpretation, analysis and recognition is the image segmentation. This paper advocates a new segme- ntation scheme using morphology on wavelet decomposed images. The present paper provides a good segmentation on natural images and textures by dividing an image into non overlapping regions, which are homogenous in terms of certain features such as texture, spatial coordinates etc. using simple morphological operations. Morphological enhancement technique based on Top Hat transforms enhances the local contrast in this paper. The morphological treatment and followed by Otsu2019;s threshold overcomes the problem of noise and thin gaps, and also smooth the final regions. The experimental results on four different databases demonstrate the success of the proposed method, compared to many other methods
Dynamic and Channel Adaptive Error Control Scheme in Wireless Sensor Networks
Get PDFThe application of wireless technology is increasingly influencing the deployment of sensor networks at low cost and maintainance in all walks of life. Poor channel conditions, severe power constraints, fading, interference and the low power communication requirements magnify the need for energy efficient and preferably cross layer error control schemes in Wireless Sensor Networks (WSNs). The main goal of error control mechanisms in WSNs is to reduce the energy expenditure while taking care of reliable and fast delivery of the sensed data. In this paper, we propose a FFFD;Dynamic and Channel Adaptive Error Control Scheme in Wireless Sensor NetworksFFFD; (DCAECS) that estimates the channel errors and controls errors dynamically based on channel characteristics and noise power observed at the receiver. This motivates the error control strategy to vary as the channel conditions change in terms of noise level. In this paper, we have come up with the models for both the error and channel estimation. Analysis and simulation results for various message sizes and error conditions show that there is an improvement in terms of throughput, BER and the probability of retransmission as compared to FFFD;ARQ Scheme With Adaptive Error ControlFFFD; (ASAEC)
An Energy Efficient Routing Based on Route Segmentation in Mobile Ad Hoc Network
Get PDFMobile Ad hoc networks based communication is one of an essential form of today's technologies which is highly effective in an emergency need. The feature of infrastructure independence makes it highly useful and versatile all kind of wireless communications needs. But the insufficiency of resources availability degrades its performance and stability of the network. Energy is the vital resource in MANET, as it makes a node to live and retain in-network for longer, which provide better network stability, scalability, and throughput. In this paper, we propose an energy efficient routing based on route segmentation mechanism (EER-RS) for energy saving in the high scalable network. It presents a lightweight route segments energy prediction algorithm to predicts the optimal energy efficiency path for data routing. We evaluate this mechanism in a high scalable network and the obtained results show an improvisation with 40 to 60 percent less energy consumption than traditional AODV and other compared protocol
Teacher in a Digital Era
Get PDFTechnology nowadays has entered into every walk of life. In this era of technology, the digital revolution has transformed almost everything from our work at our organizations to our daily routines. It is transforming the way children and young people play, access information, communicate with each other, learn, relearn and unlearn. But now this revolution has profoundly entered in the Education sector and that is also at all levels i.e. school level, College level and University level. Now we talk of use of Interactive smart boards, hybrid or blended learning, flipped classrooms and digital libraries etc. during teaching learning processes. Due to this, most of the teaching and learning processes in the classrooms these days are changing from autocratic style to democratic or participatory style where learners play an active role. On the other hand, Teachers, Instructors and Higher Faculties are facing unprecedented changes with often larger classes, more diverse students with diverse needs, demands from State, Society and employers who want more accountability and above all, all this with ever changing technology. To handle change of this nature, the role of a teacher and instructor becomes more challenging and demanding and hence requires attention. Thus the teachers in this ever changing digital era need a good balance of theoretical and practical knowledge to provide a solid foundation for their teaching
Enchancing QoS In MANETs Using Preemptive AOMDV
Get PDFMANETS is network of mobile devices. They communicate without the presence of any central device. Since nodes are mobile in nature the network has to face many problems like unpredictable link properties, security, battery life and route maintenance that affects the quality of Service (QoS) of the network. Lot of work has been done to increase the QoS of MANETS. In this paper also we will discuss about a new proposed algorithm to increase QoS of the network in terms of throughput and end to end delay
High Speed AES Algorithm to Detect Fault Injection Attacks and Implementation using FPGA
Get PDFInformation security is an essential issue in communication system. Advance Encryption Standard (AES) is utilized as a part of many embedded applications to give data security. Different counter measures are present in AES against fault injection attacks. Plain text and key of 128-bit is given as an input to the system and encryption and decryption operations are performed. Flag error shows the status of fault. Fault is produced randomly during encryption and decryption. For this reason, round transformation is broken into two sections and a pipeline stage is inserted in between. After fault detection one operation is performed that is redundancy check. Detected error or fault is corrected using redundancy check. The scheme is implemented using FPGA
Simplification of Internet Ossification through Software Defined Network Approach
Get PDFSoftware-Defined Networking (SDN) has received a great deal of attention from both academia and industry in recent years. Studies on SDN have brought a number of interesting technical discussions on network architecture design, along with scientific contributions. Researchers, network operators, and vendors are trying to establish new standards and provide guidelines for proper implementation and deployment of such novel approach. It is clear that many of these research efforts have been made in the southbound of the SDN architecture, while the northbound interface still needs improvements. By focusing in the SDN northbound, this paper surveys the body of knowledge and discusses the challenges for developing SDN software. We investigate the existing solutions and identify trends and challenges on programming for SDN environments. We also discuss future developments on techniques, specifications, and methodologies for programmable networks, with the orthogonal view from the Software Engineering discipline
From Forward Prediction Error and Backward Prediction Error to Orthogonal Data in Space (Lattice Predictor) and the Origin of a System to Pick up Another
Get PDFIn this paper, we will develop another class of linear filter which involve order update and time update. These filters have the important fact of order update. We will show a computationally efficient modular lattice-like architecture. This lead to a filter with computational complexity linear with the order which is the length. The design of order recursive adaptive filter can take two approaches. 1. Stochastic [16] gradient approach. This is Wiener theory. 2. Least squares approach. This is Kalman filter theory. The second approach is code demanding. We will start with the first approach