International Journal of Advanced Networking and Applications

3981-3989

Authors: Koffka Khan; Wayne Goodridge

Cross Site Scripting, SQL Injection, Denial of Service (DOS), Buffer Overflow and Password Cracking are current network-based security attacks that still looms on the Internet. Though these attacks have been around for decades and there exist protective mechanism for overcoming them they are still relevant today. In this paper we describe the basic workings of these attacks and outline how companies and individuals can mitigate these attacks. By taking the necessary precautions the severity of these attacks can be diminished.

3999-4006

Authors: Varsha; Manju Bala; Manoj Kumar

Swarm Intelligence has nature inspired intelligence dependent on aggregate conduct of swarms having self-sorted out nature. Different techniques are being planned as far as ACO, PSO, Fish Swarm, Bats Swarm, Bacterial Foraging, TABU search and so forth.TABU search is regarded as heuristic method derived by Glover in 1986 depends on the memory structure. TABU search is used to determine the engineering design problems having continuous and real number variables. TABU is utilized to take care of different discrete issues in various regions of sciences and engineering. Since its advancement TABU has pulled in loads of specialists to take up its calculations and apply to take care of different complex issues and has been demonstrated the best strategy to get enhanced outcomes. The objective of this research paper is to implement TABU search to make the protocol more efficient and effective. This paper proposed MSEEC (multilevel stable and energy efficient clustering protocol) utilizing TABU mechanism in which normal nodes are randomly changed after each round in the territory of 200m×200m.The recreation is done under the MATLAB environment and observed the performance of TABUMSEEC against MSEEC protocol on 4% increase in the case of first node dead (FND) and 20% increase in the case of last node dead (LND) and average remaining energy is delayed by 12% in advance nodes and 20% in super nodes respectively.

4013-4018

Authors: *G. Prasad Babu; Dr. A. K. Tiwari

Existing cloud resource scheduling approaches have mainly concentrated on enhancing the reducing power consumption and resource utilization by enhancing the legacy heuristic algorithms. Although, different resource intensive applications running on cloud data centers in realistic scenarios have significant results on the power consumption and cloud application performance. Furthermore, occurring peak loads may lead to a scheduling error, which can significantly effects on the energy efficiency of scheduling algorithms. At peak loads may lead to scheduling errors because there is no prediction model to predict the coming resource utilization of a data center through the data collected by the monitoring model. Effective scheduling mechanism gives an optimal solutions for complex problems while providing the Quality-of-Service (QoS) and avoiding Service Level Agreement (SLA) violations. To enhance the resource scheduling mechanism in cloud environment, predicting future workload to the each virtual machine pool in different manners like number of physical machines, number of virtual machines, number of requests and resource utilization etc., is an essential step. According to the prediction results, resource scheduling can be done in the right time, while avoiding QoS dropping and SLA violations. To achieve efficient resource scheduling, proposed approach lease advantages of prediction models. The proposed algorithm consists of a prediction model which is based on iterative fractal model and a scheduler which is based on an improved heuristic algorithms. Proposed scheduler algorithm is responsible for scheduling of resources while reducing the energy consumption and giving the guaranteeing the QoS.

4026-4029

Authors: H.Prabavathi; Dr. K.Kavitha; G.Sribarkavi

In this paper we are going to analyze the energy consumption in MANET by applying the fitness function to optimize the energy consumption in ad hoc on demand multipath distance vector (AOMDV) routing protocol. The proposed protocol is AOMDV with the fitness function (FF-AOMDV). The fitness function is mainly used to find the optimal path from source node to destination node to reduce the energy consumption in multipath routing. The performance of FF-AOMDV protocol has been evaluated by using network simulator version 2, where the performance is compared with optimized link state routing (OLSR) and AOMDV protocol.

4035-4044

Authors: Koffka Khan; Wayne Goodridge

Competition among adaptive video streaming players severely reduces user-QoE. This occurs as resource allocation becomes unfair. We refer to this as the bottleneck link problem. The resource imbalance creates severe user annoyance such as screen flickering and video freezes. However, there are numerous conditions that amplifies the problems. Some of these are well documented in the literature but we intend to highlight the major conditions at a bottleneck link in household LANs. These are time-varying bandwidth, TCP long-lived flows, players pausing, starting/re-starting and stopping and increases in player numbers. We explore these conditions and evaluate the performance of heuristic adaptive video players. ELASTIC and PANDA players are evaluated. Experimental setup includes the TAPAS player and emulated network conditions. The results show that players are well suited to specific conditions.