Cloud Computing Based-Collaborative Network Security Management System Using Botnet

Now-a-days due to increase in the users of internet the balancing of traffic in the network becomes most serious issue. Also the internet security is also the important factor in terms of internet worms, spam, phishing attacks and botnet too. Botnet is an internet connected program communicates with other similar program to perform malicious activities and to spread a Distributed Denial of service on the victim computer and also in network. And make that machine or network resource unavailable to its users. The botmaster which hides itself behind a server called Command & control(C & C) Server, and give commands to C & C to attack on the victim hosts and spread bot in the network. In this paper, we design a cloud computing- Based Collaborative Network Security Management System Using Botnet which balances the load in the network and check for each and every file transferring in the cloud for the bot. If that file contains the bot then the folder in which that file is save will be deleted from that client. In this way, we design a system to protect the cloud from botnet and prevent the cloud from botnet attack

NETQOS policy management architecture for flexible QOS provisioning in Future Internet

This paper is focussed on the NETQOS architecture for automated QoS policy provisioning, which can be used in Future Internet scenarios by the different actors (i.e. network operators, service providers, and users) for flexible QoS configuration over combinations of mobile, fixed, sensor and broadcast networks. The NETQOS policy management architecture opens the possibility to specify QoS policies on a "business" level using ontology descriptions and policy management interfaces, which are specific to the actors. The business level policy specifications are translated by the NETQOS system into intermediate and operational QoS policies for automated QoS configuration at the managed heterogeneous network and transport entities. NETQOS allows QoS policy specification and dependency analysis considering Service Level Agreements (SLAs) between the actors, as well as automated policy provisioning and adaptation. The interaction of the NETQOS components is based on a common po licy repository. The particular focus of the paper is aimed to discuss ontology and actor oriented QoS policy specification and configuration for heterogeneous networks, as well as NETQOS QoS policy management interfaces at business level and automated translation of business QoS policies to intermediate and operational policy level

Inside Journalism

Newsletter published by the Journalism Department at Columbia College Chicago, April 1999. Ten pages.https://digitalcommons.colum.edu/inside_journalism/1063/thumbnail.jp

Electronic Market Place for Returned Products in The Publishing Industry: A Simulation Analysis

In the publishing industry, the publishers supply products like the magazines, newspapers and books to the retailers. In order to encourage the retailers to order more, the publishers usually adopt a kind of buy-back return policies under which the retailers can return the unsold products for a partial refund. In the past, due to the lack of retail sales channel, most of the returned products were salvaged at a very low value. Now, with the advance of e-commerce, publishers can make use of Internet as an e-marketplace to sell those returned products to a completely different market – the World Wide Web. Since Internet offers a global open system, it breaks the geographical barrier and the demand for those “locally fade-out” goods can be very significant. In light of this, we study in this paper a two-echelon supply chain with one publisher and multiple retailers. Through the simulation analysis, we find that the impact of the e-marketplace can be substantial. Depending on the operations cost of the emarketplace and the size of the demand, the expected profit improvements for the publisher, the retailers and the overall supply chain vary. We identify the factors that can achieve the situation under which all parties\u27 profits are improved with the e-marketplace. Moreover, with a price dependent demand distribution for the e-marketplace, we can determine the optimal buy-back price and the optimal emarketplace selling price for the product. A real case of a local publisher has been chosen for simulation analysis and the managerial issues are discussed