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This paper aims to propose a mobile agent-based security information and event management architecture (MA-SIEM) that uses mobile agents for near real-time event collection and normalization on the source device. The externalization of the normalization process, executed by several distributed mobile agents on interconnected computers and devices, proposes a SIEM server dedicated mainly for correlation and analysis.

The architecture has been proposed in three stages. In the first step, the authors described the different aspects of the proposed approach. Then they implemented the proposed architecture and presented a new vision for the insertion of normalized data into the SIEM database. Finally, the authors performed a numerical comparison between the approach used in the proposed architecture and that of existing SIEM systems.

The results of the experiments showed that MA-SIEM systems are more efficient than existing SIEM systems because they leave the SIEM resources primarily dedicated to advanced correlation analysis. In addition, this paper takes into account realistic scenarios and use-cases and proposes a fully automated process for transferring normalized events in near real time to the SIEM server for further analysis using mobile agents.

The work provides new insights into the normalization security-related events using light mobile agents.

Mobile Service of Big Data can be supported by the fused technologies of computing, communication and digital multimedia. The purpose of this paper is to propose new agent-based proactive migration method and system for Big Data Environment (BDE).

First, the authors have designed new relative fusion method for making decision based on fuzzy-neural network. The method can make the fusion belief degree to be improved. Then the authors have proposed agent-based proactive migrating method with service discovery and key frames selection strategy. Finally, the authors have designed the application system, which can support proactive seamless migration function for big data. The method has innovation in which mobile service task of big data can dynamically follow its mobile user from one device to another device.

The authors have proposed agent-based proactive migrating method with service discovery and key frames selection strategy. The method has innovation in which mobile service task of big data can dynamically follow its mobile user from one device to another device. The designed system is convenient to work and use during mobility, and which is useful or helpful for mobile user in the BDE.

The authors have clarified and realizes how to transfer service tasks among different distances in Big Data Environment (BDE). The authors have given a formal description and classification of the mobile service task, which is independent of the realization mechanism. In the designed and developed application system, the new idea adopts fuzzy-neural control theory to make decision for task-oriented proactive seamless migration application.

Automatic, autonomous browsing has an increasingly important task in information discovery and assisted browsing on the Internet. Where users could once keep up to date with information of interest on the Internet, the recursive growth of the network has made this process increasingly time consuming and less rewarding. Presents two possible solutions to this problem: Data Agents and CollaborAgents which were developed with IBM’s Aglet Workbench – a particular implementation of mobile agents. Also surveys the agent technology and discusses the agent building package used to develop both mentioned applications. Concludes that the future of local interaction, reduced network loading, server flexibility and application autonomy which are supported by mobile agent technology, all help to provide a level agility above distributed problem solving.

Currently, mobile payments have become pervasive in electronic commerce and are steadily increasing in many regions worldwide. In the literature, however, its continued usage among consumers is deemed equivocal, particularly among small businesses. This study uses the unified theory of acceptance and use of technology (UTAUT) to examine mobile money continuance intention among micro enterprises in an emerging/less-developed economy. This study aims to explore the mediating role of agent credibility on this relationship, given that these agents are contingent actors between service providers and mobile money users.

After a preliminary qualitative enquiry, quantitative data collected from 584 micro enterprises were tested from the UTAUT perspective, using structural equation modelling.

Findings from the study establish the applicability of the UTAUT in explaining the antecedents, motivations and continuance intention of mobile money usage among micro enterprises. Further, beyond their direct effects, the UTAUT conditions have indirect effects on the continuance intention through their effect on perceived agent credibility.

The findings provide evidence to issues of research and managerial interest, offering insightful implications to the academic and practitioner communities, respectively.

This paper seeks to describe an approach to mitigate the unsoluble malicious host problem.

By using obfuscation as a component of communication patterns and their switching in an environment of cooperating agents the malicious host can be detected and the attacked agents can be deleted.

Finds that the information about the detected malicious host can be used further, e.g. to prevent another mobile agent from visiting this host.

This paper will be helpful to people involved in information management and computer security issues.

Fraud is a global economic menace which threatens the survival of individuals, firms, industries and economies, and the mobile money service is no exception. This paper aims to explore the main causes of fraud in the mobile money services in Ghana and the measures to combat the menace by the key stakeholders connected to the mobile money services. The paper is motivated by recent reports of numerous fraudulent transactions on the mobile money platform, and the need to clamp down these nefarious transactions with effective and practical measures to sustain the service.

A thorough review of existing studies on fraud risk relating to mobile money services was done revealing a paucity of literature on the subject. Primary data were gathered using an interview guide to explore the magnitude of the problem based on the views of employees of mobile money operators, mobile money agents, banking supervisors from Bank of Ghana, employees of partnering banks, employees of National Communications Authority and mobile money subscribers.

The study revealed that fraud in mobile money services is caused by weak internal controls and systems, lack of sophisticated information technology tools to detect the menace, inadequate education and training and the poor remuneration of employees. These factors disrupt the growth, and the smooth-running of the services. To curb this menace, a detailed legal code and internal fraud policy should be developed and used by mobile money operators and partner banks. Adequate training for mobile money agents should be encouraged coupled with public awareness campaigns to educate stakeholders especially the mobile money subscribers on the tricks of the fraudsters.

With the chosen research methodology and limited sample size, the findings may not reflect the views of all the stakeholders connected to the mobile money services. Therefore, future studies on this subject are entreated to use research methods which embrace larger samples to get more details about this menace.

The study will assist in tackling the mobile money fraud to sustain the service in the foreseeable future.

This paper contributes to scanty literature on fraud relating to the mobile money services by drawing lessons from a middle-income country.

The purpose of the paper is to illuminate the necessary features of a microfinance mobile banking platform through the use of agents.

This is a conceptual paper, not an empirical one.

The authors illuminate the importance of specifiying what successful partnership between the mobile network operator and the microfinance organization must include and they highlight what a mobile application should include.

There are roughly two billion unbanked mobile phone users who could be served by a partnership between mobile technology and microfinance. This type of partnership begins to address financial exclusivity among the poor.

The paper offers an original, detailed solution about how agents and technology can be used to help the poor access mobile banking platforms.

The Internet has become a popular medium for information exchange and knowledge delivery. Several traditional social activities have moved to the Internet, such as distance learning, tele‐medical system and. traditional buying and selling activities. Online merchants must know what users want, so providing recommendation services is an important strategy. Analyzes users’ on‐line behavior and interests, and recommends to them new or potential products. The analysis mechanism is based on the correlation among customers, product items, and product features. An algorithm is developed to classify users into groups and the recommendation is based on the classification. The system can help merchants to make suitable business decisions and provide personalized information to the customers. A generic mobile agent framework for e‐commerce applications is proposed. The aforementioned collaborative computing architecture for the recommendation system is based on the framework.

Notes that cellular is the inevitable future architecture for the personal communication service system (PCS). This is important for wireless mobile communications and will eventually be integrated with the Internet. Recent initiatives to add mobility to the Internet and packet data services for the next generation cellular systems are being considered by many mobile service providers, and providing a seamless support for IP‐based packet switched services is an important issue. Mobile Internet Protocol version 6 (Ipv6) is a new version of the Internet Protocol that was standardized by the Internet Engineering Task Force (IETF). It supports mobility and is presently being standardized by the IETF Mobile IP Working Group. Discusses the current cellular support based on Ipv6 and points out the shortfalls of using Mobile IP. Highlights protocols especially for mobile management schemes which can optimize a high speed mobile station moving among small wireless cells.

Real estate agents are professionals who need up-to-date and accurate information about their clients in order to maintain profitable and long-lasting relationships with each of them. A satisfied customer can be very valuable and profitable in the long term. This research focuses on solving the problem of the lack of a mobile Customer Relationship Management (CRM) adapted to the needs of professionals. The importance of solving this problem is related to the importance of optimizing work and resources in a highly abundant information industry.

It was developed of a CRM for mobile devices capable of managing information about the customers and business partners of each user, which provides a set of features well defined by the professionals. These features were collected through 15 face-to-face interviews and validated with six video conference interviews with industry specialists. For the development and evaluation of this artefact was followed the DSR methodology, corresponding each interview to an iteration of this model.

From this research resulted a selection of functionalities considered essential to the real estate agent's work. These features were successfully implemented in a mobile application that real estate agents appreciate for its simplicity and that they feel adds real value to their daily lives. Using this service, the productivity and performance of real estate agents might be improved.

It was verified that the mobile CRM solution developed is a desired solution by real estate agents in terms of customer portfolio management, enhancing the evolution of their relationships and monitoring professional's performance.