Informatics Publishing Limited

M. Muthu Meenakshi ¹, P. Subathra ¹

Affiliations
1 Thiagarajar College of Engineering, Madurai, IN

Abstract

A Mobile Adhoc Network (MANET) is a self configuring network of mobile routers connected by wireless links, which form the topology with low cost on the fly. Because of using some consumer electronic devices which are generally operate on limited battery power and therefore vulnerable to security threats like data flooding attacks. In the data flooding, malicious nodes flood the network by sending useless data packets. These useless data packet exhausts the network resources and hence legitimated user can not able to use the resources for valid communication because of energy drain, buffer drain and so. Hence the period based defense mechanism was proposed against data flooding attacks with the aim of enhancing the throughput in mobile Adhoc networks. Thus identification of the malicious as well as victim node with respect to buffer size is done, defense mechanism is applied against the flooding attack and analyze the performance with and without using defense mechanism in the mobile adhoc networks.

Keywords

Data Flooding Attack, Mobile Adhoc Network, Throughput.

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P. Subathra ¹, A. Baskar ¹, D. Senthil Kumar ²

Affiliations
1 Department of Computer Science and Engineering, Amrita School of Engineering, IN
2 Department of Computer Science and Engineering, Anna University of Technology, Tiruchirappalli, IN

Abstract

Nowadays, digital images can be easily altered by using high-performance computers, sophisticated photo-editing, computer graphics software, etc. It will affect the authenticity of images in law, politics, the media, and business. In this paper, we proposed a Resampling technique using automatic selection of Region of Interest (ROI) method for finding the authenticity of digitally altered image. The proposed technique provides better results beneath scaling, rotation, skewing transformations, and any of their arbitrary combinations in image. It surmounts the protracted complexity in manual ROI selection.

Keywords

Digital Forensics, Interpolation, Resampling Detection, Auto-ROI.

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