scholarly journals An Ownership Verification Mechanism Against Encrypted Forwarding Attacks in Data-Driven Social Computing

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhe Sun ◽  
Junping Wan ◽  
Bin Wang ◽  
Zhiqiang Cao ◽  
Ran Li ◽  
...  
Keyword(s):  
Large Scale ◽  
Service Providers ◽  
Social Computing ◽  
Training Model ◽  
Data Driven ◽  
Application Service Providers ◽  
Application Service ◽  
Verification Process ◽  
Ownership Verification ◽  
Collaborative Training

Data-driven deep learning has accelerated the spread of social computing applications. To develop a reliable social application, service providers need massive data on human behavior and interactions. As the data is highly relevant to users’ privacy, researchers have conducted extensive research on how to securely build a collaborative training model. Cryptography methods are an essential component of collaborative training which is used to protect privacy information in gradients. However, the encrypted gradient is semantically invisible, so it is difficult to detect malicious participants forwarding other’s gradient to profit unfairly. In this paper, we propose a data ownership verification mechanism based on Σ-protocol and Pedersen commitment, which can help prevent gradient stealing behavior. We deploy the Paillier algorithm on the encoded gradient to protect privacy information in collaborative training. In addition, we design a united commitment scheme to complete the verification process of commitments in batches, and reduce verification consumption for aggregators in large-scale social computing. The evaluation of the experiments demonstrates the effectiveness and efficiency of our proposed mechanism.

DELIVERING BUSINESS CRITICAL INFORMATION SYSTEMS THOUGH APPLICATION SERVICE PROVIDERS: THE NEED FOR A MARKET SEGMENTATION STRATEGY

2001 ◽  
Vol 05 (03) ◽  
pp. 323-349 ◽  
Author(s):  
WENDY L. CURRIE ◽  
PHILIP SELTSIKAS
Keyword(s):  
Empirical Research ◽  
Market Segmentation ◽  
Large Scale ◽  
Best Practice ◽  
Service Providers ◽  
Application Service Provider ◽  
Physical Sciences ◽  
Application Service Providers ◽  
Segmentation Strategy ◽  
Application Service

This paper draws from the findings of a large-scale empirical research program on the global application service provider (ASP) industry funded by research grants from the European Commission (EC) and the Engineering and Physical Sciences Research Council (EPSRC). A conceptual framework consisting of a taxonomy of ASPs is used to demonstrate the different market segmentation strategies adopted by ASPs for competing in this fledgling and turbulent industry. Drawing from empirical research carried out in the US and Europe, the paper evaluates ASP strategies for deploying, hosting, managing and enabling software applications on behalf of their customers. The ASP business model is advocated as an attractive value proposition for SMEs, dot.com companies and other start-up firms seeking hyper-growth. Yet the evidence so far suggests a slow start to the ASP market as few reference sites demonstrating best practice exist. ASPs will therefore need to re-evaluate their strategies if they are to convince potential customers of the benefits of application outsourcing. Against this background, the paper evaluates the benefits and risks of the ASP model.

scholarly journals Cloud based Cost Effective Resource Allocation Model for Software-as-a-service Deployments

2013 ◽  
Vol 9 (2) ◽  
pp. 1068-1079
Author(s):  
Ibrahim A. Cheema ◽  
Mudassar Ahmad ◽  
Fahad Jan ◽  
Shahla Asadi
Keyword(s):  
Resource Allocation ◽  
Large Scale ◽  
Service Providers ◽  
Cost Effective ◽  
Software As A Service ◽  
Allocation Model ◽  
Application Service Providers ◽  
Resource Allocation Model ◽  
Application Service ◽  
Cloud Infrastructures

The Cloud Computing (CC) provides access to the resources with usage based payments model. The application service providers can seamlessly scale the services. In CC infrastructure, a different number of virtual machine instances can be created depending on the application requirements. The capability to scale Software-as-a-Service (SaaS) application is very attractive to the providers because of the potential to scale application resources to up or down, the user only pay for the resources required. Even though the large-scale applications are deployed on cloud infrastructures on pay-per-use basis, the cost of idle resources (memory, CPU) is still charged to application providers. The issues of saturation and wastage of cloud resources are still unresolved. This paper attempts to propose the resource allocation models for SaaS applications deployments over CC platforms. The best balanced resource allocation model is proposed keeping in view cost and user requirements.

scholarly journals Large-Scale ASP Replication of Database-Driven Portals

2009 ◽  
pp. 1276-1284
Author(s):  
Christopher B. Mayer ◽  
K. Selçuk Candan
Keyword(s):  
Large Scale ◽  
Service Providers ◽  
Application Service Providers ◽  
Application Service ◽  
Starting Point ◽  
Replica Management ◽  
Large Application ◽  
User Demand ◽  
Prototype Software ◽  
Levels Of Service

This article explains issues surrounding the replication of a single full-scale database-driven portal application. In addition to the issues of replicating a single, unsophisticated application, it also anticipates a future in which portal applications offer multiple levels of service to users, and large application service providers (ASPs) host and replicate many portal applications on networks of servers. An ASP must replicate complex portal applications in order to satisfy user demand while minimizing operating costs. ASPs will need mature tools for making replication decisions and deploying and otherwise managing their replication system. To that end, this article highlights two prototype software packages, ACDN and DATE/DASIM, that address some aspects of replica management by ASPs. Using the two prototypes as a starting point and recalling single portal replication issues, a set of features for a mature ASP replication management systems are proposed.

Application service providers

2010 ◽  
Vol 53 (7) ◽  
pp. 113-117 ◽  
Author(s):  
Yurong Yao ◽  
Edward Watson ◽  
Beverly K. Kahn
Keyword(s):  
Service Providers ◽  
Application Service Providers ◽  
Application Service

E-Business and Analytics Strategy in Franchising

2018 ◽  
pp. 389-406
Author(s):  
Ye-Sho Chen ◽  
Chuanlan Liu ◽  
Qingfeng Zeng ◽  
Renato F. L. Azevedo
Keyword(s):  
Business Strategy ◽  
Service Providers ◽  
Growth Strategy ◽  
Business Analytics ◽  
Demand And Supply ◽  
Good Relationship ◽  
Application Service Providers ◽  
Application Service ◽  
Global Demand ◽  
Global Growth

Franchising as a global growth strategy, especially in emerging markets, is gaining its popularity. For example, the U.S. Commercial Service estimated that China, having over 2,600 brands with 200,000 franchised retail stores in over 80 sectors, is now the largest franchise market in the world. The popularity of franchising continues to increase, as we witness an emergence of a new e-business model, Netchising, which is the combination power of the Internet for global demand-and-supply processes and the international franchising arrangement for local responsiveness. The essence of franchising lies in managing the good relationship between the franchisor and the franchisee. In this paper, we showed how e-business and analytics strategy plays an important role in growing and nurturing such a good relationship. Specifically, we discussed: managing the franchisor/franchisee relationship, harnessing the e-business strategy with aligning the e-business strategy with application service providers, an attention-based framework for franchisee training and how big data and business analytics can be used to implement the attention-based framework.

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