P2P Social Network with Dynamic Identity-based Broadcast Encryption using Rolls

In this paper, we suggest the rolls scheme using dynamic identity-based broadcast encryption. Using this scheme, it is possible to parted a message to many parts, and allow to some users to read special different parts in a message. General Terms Social network service (SNS) market is stretch over worldwide, and then there are many security threats by attackers. In addition because sensitive data is concentrated on the central server, privacy can be exposed to SNS provider as well as malicious users. To overcome this problem, many previous researches suggest decentralized system for SNS. In these systems sensitive data may not be stored in central server. When a user transmits a message, then server does not interfere with the process. Thus, the user who transmits a message needs way to message the key that are used to message the key that are used for message encryption scheme.

ICORMAN: Extended Version of CORMAN using Efficient Channel Reuse Method

Ad-hoc Networks (MANETs) are wireless networks in which all nodes are moving freely in the network; also they can leave or enter into the network at any time. The nodes in these types of networks are communicating on-the-move without any base stations (1). Due to this mobility, inter-node connectivity may change frequently during normal operation which imposes new problems in network control, particularly in the design of higher level protocols such as routing. Routing is the most critical issue in MANET due to mobility of the nodes (2). The performance of MANET is basically depends upon routing protocol use by the network. Routing protocol is nothing but the rules and regulations of routing which governs the journey of message packets from source to destination in a network. There were different routing protocols proposed for improving performance of MANET, such as DSR, DSDV, AODV, CORMAN, etc... All these protocols are best suitable in different network scenarios. However, among all these protocols, Ad-hoc on demand distance vector (AODV) is one of the protocols which are good for most of the network scenarios and it is the good solution for most of the network problems. But, AODV have some limitations too. It is not suitable for the opportunistic data transfer. Recently, the importance of utilizing the broadcast nature of multi-hop wireless networks is being recognized and considered in network protocol design, known as opportunistic data forwarding. One solution for opportunistic data transfer in MANET is CORMAN routing protocol. However, CORMAN does not give efficient performance during communication, because CORMAN does not make better channel reuse. By combining the better channel reuse method in CORMAN we can improve the performance of MANET. This paper focus on new proposed protocol called ICORMAN, the new protocol in MANET which makes the efficient channel reuse by using Ant colony optimization algorithm. Also better channel reuse method based on ACO is presented in this paper. The practical analysis of proposed work is possible using java in order to claim the efficiency of proposed routing protocol against the AODV & CORMAN routing protocol which shows that, ICORMAN improves the performance of MANET as compared to AODV & CORMAN routing protocols in terms of PDR, throughput, end to end delay and total PDR

Performance Improvement of Microstrip Patch Antenna using Substrate with Lower Relative Permittivity

Antenna with higher directivity and compact size is the need of hour, latest trends suggest that lot of work has been going on in this field. In this paper the performance of patch antenna with substrate having higher relative permittivity has been compared with that of patch antenna with substrate having low value of relative permittivity. The simulation results suggests that patch antenna with lower relative permittivity substrate has better value of directivity and return loss, these parameters play significant role in antenna designing.

A Review of Elliptic Curve based Signcryption Schemes

A Neural Network based Method for Recognition of Handwritten English Pitman's Shorthand

Bridging the Gap between Adolescents and Adults: A Case Study on Experiences of Teenagers while using Social Networking Sites and their Willingness to Seek Adult Help

This paper explores the positive and negative experiences of adolescent users of social networking sites (SNS) and the level of adult support they receive to deal with the challenges related to the use of SNS. Data for this research were collected through focus groups comprising 192 male and female adolescents aged between 12 and 17 living in Adelaide, South Australia. The focus-group discussions revealed that young people enjoyed social networking for a variety of positive reasons; however they also encountered a wide range of issues associated with the ways that they, and others, make use of this technology. This study respondents indicated the presence of a gap existing between adolescents and adults and this gap needs to be urgently narrowed in order to enable adults to provide appropriate support and help to ensure that young people are safe when using SNS. Based on its findings the present study argues that more studies are needed in order to understand the interesting and complex experiences of teenagers while using SNS, the rules which teenagers apply while using the SNS, and how far these conventions differ from those set by adults; all of these are needed in order to reduce the gap that currently exists between young people and adults.

Canny based DRLSE Algorithm for Segmentation

Image segmentation is typically used to locate objects and boundaries in images. The objective of this application is the segmentation of different medical images. Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Medical image segmentation is one of the most important parts of clinical diagnostic tools. However, the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools. In this paper canny operator based Distance Regularization Level Set Evolution Algorithm (DRLSE) is used. The distance regularization effect eliminates the need for reinitialization and thereby avoids its induced numerical errors. First canny operator is used to determine the edges and edge directions. Then a new variation level set formulation is used in which the regularity of the level set function is intrinsically maintained during the level set evolution. The level set evolution is derived as the gradient flow that minimizes energy functional with a distance regularization term and an external energy that drives the motion of the zero level set toward desired locations. The distance regularization term is defined with a potential function such that the derived level set evolution has a unique forward-and-backward (FAB) diffusion effect, which is able to maintain a desired shape of the level set function, particularly a signed distance profile near the zero level set. Proposed algorithm is used for database of different medical images such as Brain, Eye & Comparison of the same algorithm for those images by using different parameters is done.

Development of Multimodal Biometric Framework for Smartphone Authentication System

A Security Measure for Electronic Business Applications

With the growth of business over the internet, there is more scope of security vulnerabilities over the internet. Despite of many efforts to make internet safe to the users, there is still a possibility for threats. The client, as well as the merchant for the electronic business, always faces problems due to these threats. This paper is an effort to distinguish the threats for the client perspective and the merchant perspective. Further a measure has been defined for securing both the parties over the internet during the electronic business. Further, the measure can be used for the analysis, design of an application, and also, to compare it with other applications.

DNA Cryptography with Chaotic Mapping on Images: A Comparative Study

Information in the form of digital images circulated over the networks is gaining popularity and great concern due to its enormous applications and necessities. in many of the applications, the images contain confidential information. the best method to protect images from unauthorized access is image encryption. Recent researches of image encryption algorithms have been increasingly based on chaotic systems. With the research of DNA computing has began, DNA cryptography is born as a new cryptographic field, in which DNA is used as information carrier and the modern biological technology is used as an implementation tool. Dna cryptography can be applied along with chaotic encryption for better performance.