Nithya S

Department of Digital Communications

School of Information Technology and Engineering

Vellore Campus

Jayakumar C.

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Indian Journal of Science and Technology

Software defined networking assures the space for network management, SDNs will possibly replace traditional networks by decoupling the data plane and control plane which provides security by means of a global visibility of the network state. This separation provides a solution for developing secure framework efficiently. Open flow protocol provides a programmatic control over the network traffic by writing rules, which acts as a network attack defence. A robust framework is proposed for intrusion detection systems by integrating the feature ranking using information gain for minimizing the irrelevant features for SDN, writing fuzzy-association flow rules and supervised learning techniques for effective classification of intruders. The experimental results obtained on the KDD dataset shows that the proposed model performs with a higher accuracy, and generates an effective intrusion detection system and reduces the ratio of attack traffic.

International Journal of Software Innovation

Flow Based Classification for Specification Based Intrusion Detection in Software Defined Networking

Background: The progression of malware is on upsurge lately. The architects of malware make it robust and sheath such that it becomes untraceable while running and hence users fall-prey for these malicious software. These malicious software programs developed by attackers are polymorphic and metamorphic which have the capability to alter their code as they propagate. Methods: The existing malware detection and prevention tools need to be enhanced when it comes to these newly developed malwares. So, to prevent this we take a generic approach that integrates the methods and tools which already exist in order to detect the malware with utmost accuracy and efficiency. Findings: The survey on this paper gives a picture to make use of Op-Code frequency and n-gram for feature extraction and efficient way for detecting malware incase gets on to the system by any means. Different authors claim that they five the best results by increasing the true positives and decreasing the False positive rates. Application: Dynamic and Hybrid methods can be used to detect known and unknown malwares.

A Dynamic Malware Analysis for Windows Platform - A Survey

An Experimental Analysis of Hybrid Classification Approach for Intrusion Detection

Intrusion Detection Systems, Tools and Techniques – An Overview

2011 3rd Conference on Data Mining and Optimization (DMO)

Probability apriori based approach to mine rare association rules

2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)

Automatic firewall rules generator for anomaly detection systems with Apriori algorithm

Automatic Firewall Rule Generator for Network Intrusion Detection System based on Multiple Minimum Support

Journal	Indian Journal of Science and Technology
Publisher	Indian Society for Education and Environment
ISSN	0974-6846
Open Access	Yes