In recent time, Internet or network services has gain popularity due to rapid growth in information and telecommunication technologies. Internet or network services become the mean for finance management, education, a...
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In recent time, Internet or network services has gain popularity due to rapid growth in information and telecommunication technologies. Internet or network services become the mean for finance management, education, and global information service center for news, advertisements and many others. Denial of service attack and most particularly the distributed denial of service attack (DDoS) is most common and harmful threat to the Internet or network services. In order to design and develop reliable and secure network services, rapid detection and quick response to these attacks are major concern. In practice, there is no scheme that completely detects or prevents the DDoS attack. Predicting number of zombies in a DDoS attack is helpful to suppress the effect of DDoS attack by filtering and rate limiting the most suspicious attack sources or improve DDoS response system. In this paper, we present machine learning approach based on support vector machine for regression to predict the number of zombies in a DDoS attack. MATLAB implementation of support vector machine for regression and datasets generated using NS-2 network simulators running on Linux platform are used for training and testing. SVM for regression with various kernel function and other parameters are compared for their prediction performance using mean square error (MSE). Results show SVM based scheme have promising prediction performance for small dataset.
The current paper presents an activity pattern based session specific server side software authentication framework which exploits the fact that software usage pattern of each user has a unique signature. This uniquen...
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In this paper conventional proportional-integral-derivative (PID) controller and different type of fuzzy logic controllers are used for controlling the inverted pendulum. The fuzzy logic controller is designed in vari...
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In this paper conventional proportional-integral-derivative (PID) controller and different type of fuzzy logic controllers are used for controlling the inverted pendulum. The fuzzy logic controller is designed in various forms in the Matlab-Simulink environment with Mamdani type fuzzy inference system. The Inverted Pendulum system (also called “cart-pole system”) is a classic example of a nonlinear and unstable control system. By controlling the force applied to the cart in the horizontal direction, the inverted pendulum can be kept in various unstable equilibrium positions. Fuzzy control in association with PID control is found better amongst the fuzzy PD and fuzzy PD+I control.
Data warehouses are large repositories designed to enable the knowledge workers to take better and faster decisions. Due to its significance in strategic decisions, there is a need to assure data warehouse quality. On...
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Genetic algorithm (GA) is widely used for embedded system design optimization. GA needs repeated evaluation of fitness function, but for complex embedded systems fitness function evaluation is costly as it includes mu...
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Genetic algorithm (GA) is widely used for embedded system design optimization. GA needs repeated evaluation of fitness function, but for complex embedded systems fitness function evaluation is costly as it includes multiple objectives. A recently proposed Cuckoo Search (CS) method does not require repeated evaluation of fitness function and can provide a set of optimal solutions within a reasonable time. This paper compares the application of GA and CS algorithm to the problem of design space exploration and discusses their empirical comparison.
Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on...
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Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on. Task scheduling in an important aspect of distributed computing. As grid computing is a form of distributed computing with heterogeneous resources working in a shared environment with no central control. The main aim of Grid scheduling is to increase the system throughput and to satisfy the job requirements from the available resources. This work proposes a resource requirement (R2) prioritized task-scheduling algorithm for grid computing. This algorithm is based on prioritizing the resource requirement of the jobs which schedules the jobs taking into account the memory requirement of the jobs. It is named as the scheduling algorithm. It is compared with one of the widely used grid scheduling algorithm MinMin and has been tested in simulated grid environment. The experimental results showed a significant improvement of in terms of a makespan and system utilization.
This paper looks into the problems faced by Underwater Sensor Networks (UWSNs), with regard to energy optimization and efficient data delivery. A new algorithm is proposed which uses the properties of a "Parabola...
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This paper looks into the problems faced by Underwater Sensor Networks (UWSNs), with regard to energy optimization and efficient data delivery. A new algorithm is proposed which uses the properties of a "Parabola" in order to transmit data packets from source to destination. The scheme is called the "Parabola-based Routing"(PBR) algorithm. The algorithm is adaptive, and transmits packets in hop-by-hop fashion. Each node in the scenario is aware of its location in the form of its Cartesian coordinates. These coordinates help the nodes in the formation of the parabola for packet sending, as well as in knowing the location of other nodes. The best suited node is selected every time so as to maintain low probability of data transmission failure and optimum energy consumption thereby, using greedy approach every time in selecting the node for packet transmission. In order, to maintain the packet delivery ratio, a hop-by-hop "acknowledgement process" has also been devised. We have validated the efficiency of our algorithm through simulation analysis. The simulation results indicate a better performance of PBR over DSR in both mobile and static scenarios.
This paper deals with the application of a optimization technique inspired by natural evolution, namely Genetic Algorithm (GA) for the design of Fractional order Proportional and Integral (FOPI) based DSTATCOM (Distri...
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This paper deals with the application of a optimization technique inspired by natural evolution, namely Genetic Algorithm (GA) for the design of Fractional order Proportional and Integral (FOPI) based DSTATCOM (Distributed Static Compensator) and ELC (Electronic Load Controller). The GA technique helps search efficiently the optimal parameters of the FOPI controller. Conventional controllers use integral order control which is less robust as compared to fractional order control. This paper is based on a novel application of fractional order controller optimized by genetic algorithm for power quality improvement using DSTATCOM and ELC in a power system. With the help of modelling carried out in a MATLAB based environment and a set of simulation results, the superiority of the designed FOPI over PI (Proportional - Integral) based DSTATCOM and ELC controllers used in power distribution system is affirmed and a comparative study in terms of overshoots and undershoots is presented.
Recently, current feedback operational amplifier (CFOA) and analog multiplier-(AM-) based-voltage controlled oscillators (VCOs) have been published in the literature which require 2 CFOAs and 2 AMs for linear tuning l...
Recently, current feedback operational amplifier (CFOA) and analog multiplier-(AM-) based-voltage controlled oscillators (VCOs) have been published in the literature which require 2 CFOAs and 2 AMs for linear tuning law between control voltage and frequency of oscillation. In this paper, a family of eight new voltage-controlled oscillators (VCOs), with linear tuning laws, employing only a single CFOA in conjunction with two analog multipliers (AMs), has been derived through a systematic state-variable methodology. This has been made possible by exploiting the voltage summing property of the multiplier chosen which has never been done in the literature earlier. The workability of the presented VCOs has been verified by experimental results based on AD844 type CFOAs and AD534 type AMs, and the advantages of new circuits over the previously known CFOA-AM-based VCOs have been highlighted.
An artificial intelligence controller for three phase three level soft switched, phase shifted PWM(phase shift modulation) dc to dc converter is proposed for high voltage and high power applications. In which, it is a...
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An artificial intelligence controller for three phase three level soft switched, phase shifted PWM(phase shift modulation) dc to dc converter is proposed for high voltage and high power applications. In which, it is analyzed that four switches in a leg where outer switch behaves as a zero voltage switching and inner switch behaves as a zero current switching. The performance is analyzed by simulation in MATLAB/SIMULINK.
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