Informatics Publishing Limited

M. Thangavel ¹, P. Thangaraj ²

Affiliations
1 Department of Computer Applications at Erode Sengunthar Engineering College, Erode, Tamilnadu, IN
2 School of Computer Technology and Applications, Kongu Engineering College, Erode, Tamilnadu, IN

Abstract

Understanding the nature of intrusion attacks is critically important to the development of effective counter measures to anomaly traffic detection problem. Anomaly intrusion traffic attacks combined with traditional network intruders became most serious threats to network security. The existing work monitors available traffic attacks and take appropriate action to mitigate them, before they have had much time to propagate across the network. The proposed working model of statistical traffic anomaly detection method is carried out on the principle traces of non intrusive packet header data with quick detection rate. Traffic is monitored at regular intervals to obtain a signal that can be analyzed through statistical techniques and compared to historical norms to detect anomalies (change detection). The proposed methodology of anomaly intrusion traffic detection envisions statistical change detection theory for real-time data source extracted from Net Con server (Internet Service Provider popularly running at Erode Region). The experimental results suggest little use of address spoofing by attackers, which imply that such attacks will be invisible to indirect backscatter measurement techniques. The proposed traffic anomaly intrusion detection provides an improvement of 12% average through put compared to the existing ones. The propagation delay metric shows a reduction of nearly 9% with other methods of anomaly intrusion detection.

Keywords

Statistical Anomaly Detection, Network Traffic, Intrusion Detection.

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Dhanya K. G. , M. Thangavel

Abstract

Heavy metals are significant to human because some of them are most important trace elements and metals are present in air, water and soil etc. some of them are most important trace elements required co-factor in various metabolic enzymes and constituents of cells. But metal compounds that have the potential to harm human health when absorbed or inhaled, since analytical techniques have made it possible to detect them in even in very small traces by Atomic adsorption spectrophotometry. In this study an attempt has been made to degrade heavy metals using Pseudomonas fluorescence .The present study was collecting the leaf samples. The organism Pseudomonas fluorescence was isolated and identified from the leaf samples of mimosa pudica. The growth of microorganisms in nature as well as in laboratory is greatly influenced by temperature pH, moisture content, available and as well as in the character of other organisms present.

Keywords

Heavy metals, Mimosa pudica, Pseudomonas fluorescence

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P. Karthikeyan ¹, A. M. Abirami ¹, M. Thangavel ¹

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN

Abstract

The Programme Outcomes (PO) of students are measured after the completion of every Under Graduate (UG) programme. Contributions of engineering projects on programme outcomes are significantly more when compared with other courses. The final year projects are evaluated by rubrics at different stages. The projects may fall in different categories; mapping of each project with PO needs to be carried out based on the nature of the problem and its solution. Hence, there exists a need for micro-level assessment and evaluation processes for projects. It is really a challenging process to define the set of activities needed for this. In this paper, a micro-level assessment methodology for attaining programme outcomes through UG Engineering Projects has been proposed and implemented. The process is defined in alignment with the ADDIE instructional design model and recommended to have different phases like plan, design, implement, evaluate and assessment. Project-PO mapping guidelines are prepared and used in the assessment process. This study explores the attainment level of different POs for each student and analyzes how the project helps in the attainment of Graduate Attribute (GA) for each individual. This paper discusses the detailed processes that have been carried out for the project course and how these processes help in the PO attainment level for two different batches of BTech IT students. The results of PO attainment prove that the proposed process would help in the attainment of PO, hence the Graduate Attribute level of each student.

Keywords

Engineering Project Review Process, Programme Outcome Attainment, Project PO Mapping, Project PO Attainment Calculation, Project Review Rubrics.

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M. Thangavel ¹, M. Parameswari ²

Affiliations
1 Department of Computer Applications, Erode Sengunthar Engineering College, Perundurai, Erode – 638 057, Tamilnadu, IN
2 Department of Computer Science, Erode Arts & Science College, Erode – 638 009, Tamilnadu, IN

Abstract

The security of computer networks plays a strategic role in modern computer systems. Distributed Denial of Services (DDOS) act as the ‘‘second line of defense’’ placed inside a protected network and looking for known or potential threats in network traffic and/or audit data recorded by hosts. The system is developed a Distributed Denial of Service attacks detection method using LAMSTAR neural network to classify observed system activities and compared the performance of LAMSTAR method. LAMSAR method gives better performance at the cost of testing time high Computational complexity and Training time than the other classification techniques. The system is further reduced the dimension of the data using principal component analysis by reducing  the Computational Complexity of LAMSTAR DDOS which in turn reduces the testing and training time with almost the same performance.

Keywords

Distributed Denial of Service, LAMSTAR, PCA, False Alarm Rate.

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