Keywords: e-Procurement, e-Marketplace.

Abstract: Due to globalization of business and flourishing of various forms of e-marketplaces, organizations are coming out from the arm-length partnership of supply chain model and rely more on open architecture e-procurement model. If the purchaser depends more and more on e-marketplace, he is entering more and more in the risk zone though he is availing transaction benefit, because probability of getting item from the open market is gradually decreasing as the order-size increased. Hence, there should be some optimal point beyond which procurement through e-marketplace becomes unviable for the organization. This cut-off point has been modeled using average market availability of items (?) in Poisson distribution. This model will help the organization to identify the particular cut-off level for e-procurement in a given market situation.

Keywords: Security, Mobile User, Attacks.

Abstract: Ubiquitous use of mobile phones has caused an emergence of applications targeted to mobile platforms. Since mobile devices become the major mobile platforms for users to transfer and exchange diverse mobile data over the wireless networks or wireless internet, mobile security for mobile accesses becomes very important and critical to assure secured mobile transactions, mobile data integrity and confidentiality. Mobile security also is critical to protect mobile users and mobile-based application systems from unauthorized accesses and diverse attacks. As an emerging technology survey paper, this paper discusses the security concepts, issues, and challenges in mobile accesses, summarizes and analyzes the state-of-the-art of security technologies for mobile accesses. Moreover, the paper discusses and compares the existing mobile security solutions and technologies. Keywords: mobile, security, decryption, encryption, biometric.

Keywords: Fault Management, Wireless Mesh Networks

Abstract: Wireless Mesh Network (WMN) provides a cheaper option for backhauls that can be leveraged to provide low-cost access services. Compared to conventional wireless LANs, the benefits of a WMN include greater range because of packet relaying and higher throughput because of shorter hops. A WMN, however, may be subject to a variety of faults that are hard to diagnose manually. In this paper we discuss Autonomic Fault Management (AFM) to automate many of the fault management tasks by continuously monitoring network condition for self-awareness, analyzing the fault when it is detected for self-diagnosis, and taking adaptation actions for self-recovery. Thus AFM can reduce potential human errors and can respond to faults faster, effectively reducing the network downtime. We review challenges and possible solutions for three important components of an AFM: network measurements, fault diagnosis, and fault recovery. We also briefly discuss the security issue for AFM.

Keywords: SCENS, Recommender Systems, Collaborative Filtering

Abstract: SCENS (Secure Content Exchange Negotiation System) is a web based data sharing system that enables data owners to maintain control of their original data while negotiating the conditions under which sharing can be done. This allows for data tracking, data provenance and data copyright enforcement. In this paper, we introduce our current work on incorporating a recommendation component in SCENS. The objective of this component is to help users find the most reliable, valuable, important and interesting data quickly and easily. Four implemented recommendation algorithms (Naive item average, User-based, Item-based, and Singular Value Decomposition based) in our recommendation component are discussed.