Secure agent data integrity shield

In the rapidly expanding field of E-Commerce, mobile agent is the emerging technology that addresses the requirement of intelligent filtering/processing of information. This paper will address the area of mobile agent data integrity protection. We propose the use of Secure Agent Data Integrity Shield (SADIS) as a scheme that protects the integrity of data collected during agent roaming. With the use of a key seed negotiation protocol and integrity protection protocol, SADIS protects the secrecy as well as the integrity of agent data. Any illegal data modification, deletion, or insertion can be detected either by the subsequent host or the agent butler. Most important of all, the identity of each malicious host can be established. To evaluate the feasibility of our design, a prototype has been developed using Java. The result of benchmarking shows improvement both in terms of data and time efficiency

Travel Agencies: From online channel conflict to multi-channel harmony

The adoption of Internet as a distribution channel and a privileged e-commerce tool has pressed Travel Agencies (TAs) to a latent channel conflict. Our main interest is to understand how the traditional independent travel agencies in Portugal deal with the online channel. We suggest that TAs have to develop an innovative business model based on the online and offline complementary channels, in order to achieve a multi-channel harmony

Psychological elements explaining the consumer's adoption and use of a website recommendation system: A theoretical framework proposal

The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved. The approach takes the form of theoretical modelling. Findings: A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified. Research limitations/implications: The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research. Practical implications: The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented

More information, better jobs? : occupational stratification and labor market segmentation in the United States' information labor force

This article examines the mix of good and bad jobs in the restructuring of United States' labor markets for information work between 1900 and 1980. ls the information sector still growing relative to other occupational sectors? What is the relative proportion of good to bad jobs in the information sector today? ls the mix of good bad jobs within the information sector changing over time? To answer these questions, we examine changes in the relative size of the information sector's labor markers and changes in five occupational strata within it - professional, semiprofessional, supervisory and upper-level sales personnel, clerks, and blue-collar workers.The information occupations mushroomed in size from 17% of the United States workforce in 1900 to over 50% in 1980. Information sector jobs vary widely in quality. Few information sector jobs are fully professional, and clerical jobs form the largest single occupational stratum. When we examined the growth of the various strata between 1900 and 1980, we found that clerical jobs became more dominant, not less dominant. But this distribution has been masked by the steady growth of information sector jobs in the highly professional and semiprofessional strata, as well as clerical jobs. The occupational stratum between clerks and semiprofessionals - the supervisory and upper-level sales workers - has steadily declined in relative size.Two lower strata - clerks and sales and supervisory workers - account for 55% of the jobs in the information sector. Our data suggest that information labor markets are divided into relatively impermeable segments. As the information sector expanded, it took on many characteristics of the overall economy. It includes a mix of jobs that are diverse in their pay, status, and power. Its internal divisions reflect patterns of segmentation that have developed elsewhere in the society - a dual labor market. Overall, the information sector has become sufficiently large that it is not an alternative to the dominant social order - it simply reproduces many of its features

An Investigation Report on Auction Mechanism Design

Auctions are markets with strict regulations governing the information available to traders in the market and the possible actions they can take. Since well designed auctions achieve desirable economic outcomes, they have been widely used in solving real-world optimization problems, and in structuring stock or futures exchanges. Auctions also provide a very valuable testing-ground for economic theory, and they play an important role in computer-based control systems. Auction mechanism design aims to manipulate the rules of an auction in order to achieve specific goals. Economists traditionally use mathematical methods, mainly game theory, to analyze auctions and design new auction forms. However, due to the high complexity of auctions, the mathematical models are typically simplified to obtain results, and this makes it difficult to apply results derived from such models to market environments in the real world. As a result, researchers are turning to empirical approaches. This report aims to survey the theoretical and empirical approaches to designing auction mechanisms and trading strategies with more weights on empirical ones, and build the foundation for further research in the field

An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies

This paper presents an overview of current trends in electronic Business (E-Business), and discusses how an enterprise can use the Electronic Market space based on intelligent agents and data mining techniques to its strategic advantage. We define an agency as a multi-agent system created by integrating agents, selected from a library of reusable agents that have formed a federation. A federation of agents comprises of a set of registered agents, witch are themselves complete knowledge-based system [1].multi-agent system, e-business, data mining, artificial neural networks

Intelligent Agents - a Tool for Modeling Intermediation and Negotiation Processes

Many contemporary problems as encountered in society and economy require advanced capabilities for evaluation of situations and alternatives and decision making, most of the time requiring intervention of human agents, experts in negotiation and intermediation. Moreover, many problems require the application of standard procedures and activities to carry out typical socio-economic processes (for example by employing standard auctions for procurement or supply of goods or convenient intermediation to access resources and information). This paper focuses on enhancing knowledge about intermediation and negotiation processes in order to improve quality of services and optimize performances of business agents, using new computational methods that combine formal methods with intelligent agents paradigm. Taking into account their modularity and extensibility, agent systems allow facile, standardized and seamless integration of negotiation protocols and strategies by employing declarative and formal representations specific to computer science.Business processes, Intelligent Agents, Intermediation and Negotiation, Formal Models.