Controlling Congestion in Far-End Nodes

Estimating and attempting to overcome congestion in high radix topologies that use global adaptive routing decisions will have a great impact on the overall performance a heterogeneous network. Earlier works have been done focusing on near end congestion or downstream congestion, thus not evaluating far end congestion possibilities. In this project routing algorithms with near-end and far-end congestion metrics have been combined with a history window technique that helps to overcome far-end congestion. In addition to this, transient congestion would also occur on varying traffic patterns, which will be handled by a method of averaging local queue occupancies with an addition of offset. This combination of methods will get us closer to an ideal adaptive routing algorithm. Routing is the key functionality for directing communication over large networks. The primary task of any routing protocol is to discover and maintain routes to needed network destinations. The routing protocols for ad hoc networks can be divided into two groups, proactive and reactive. Proactive routing refers to the condition that whenever a node has some data for a particular destination it can be transmitted immediately. On the other hand reactive routing protocol determines the routes as and when it is required by a node in the network. Surprisingly, little focus has been directed to the enhancement or extending this approach.

Provenance centered Communication us-ing Visual Cryptography: Design Perspective

Software design is an essential activity, which deals with producing models of both preliminary and high level design. This aspect acts an effective input for next phase of the software development which is actual construction of the software where coding is an important activity under the same. After the problem is well understood as a part of analysis activity, software design comes into scenario of software development life cycle. Associated with the aspects of effective communications in the untrusted network the internet, a model is proposed to mitigate issues in high risky channels. In this information security domain, two aspects are chosen. One being visual cryptography for securing the channel, and data provenance for understanding the lineage of operations. These traits aids in providing an indigenous solution for securing the communication channels. Data Provenance is the concept of capturing historical data for a given entity. The proposed model specifies securing untrusted communication channels with a peculiar encryption mechanism called as visual encryption. In this paper, design concepts for the mentioned approach are incorporated. It also contains the technical literature aspects of both data provenance and visual encryption with appropriate illustrations. 

The Secured Data Provenance: Background and Application Oriented Analysis

It is with the advancement of overwhelming wireless internet access in mobile environments, users and usage data has become huge and voluminous on regular basis. For instance, the financial transactions performed via online by users are unsecure and unauthenticated in many contexts. Methods and algorithms exist for secure data transmission over different channels, perhaps lacks to achieve high performance with respect to the basic goals of security; confidentiality, integrity, availability at a considerable level. The origin of the data i.e., by whom the original transaction thread have been started, is the critical question to be answered while finalizing with the financial transaction. This concept of ‘history of data’ have attained good attention by the researchers from many decades at different application domains and is named as Data Provenance. However, provenance with security has got a little progress with research in the recent times especially in cyber security. This study focuses on the security aspects of data provenance with a unique approach in cryptography. The blend of these two technologies could provide an indigenous solution for securing the provenance of the related data.