Mobile Access to Process Knowledge: An Agent-Based Approach

With the widespread use of mobile devices having powerful processing capabilities, there is an ever-increasing demand to localize essential mobile services on these mobile devices to increase convenience. Most of the current computation concentrates on collecting service information from mobile devices and processing it at the server side. This is because semantic analysis of the service description in the mobile device is a resource intensive process. One of the main processes involved in the semantic analysis is the Parts of Speech (POS) Tagging. Currently, POS tools are not available for mobile devices. POS tagging however is a resource intensive application which is a challenge in the context of mobile devices due to limited availability of resources such as power, memory and processing capability. This chapter discusses a new, lightweight, context based web service composition model for mobile devices. The main idea is to build a lightweight POS tagger in the mobile device itself. The POS tagger finds its application in the context of identifying services requested by users in the form of natural language queries. Once the service names are identified in the mobile device, the request is sent to the web-service providers for their response and these responses are composed in the mobile device.

Exploiting composition of mobile devices for maximizing user QoS under energy constraints in mobile grid

The scope of application of multi-agent systems in the process industry: three case studies

Almost everyone today owns some type of mobile device that is not only being used for routine tasks such as making phone calls, but also for more advanced tasks such as social networking. Advances in hardware technology have seen the cost of mobile devices reduce considerably. However, even with the advanced capabilities and relatively low cost, there is still limited use of these devices in industrial environments. In this paper we discuss observations made from several field studies conducted that examine the challenges faced by personnel working in three different process industry environments. We then present design directions for how mobile devices could be used more effectively to enhance their work practice. This paper therefore provides both a rare glimpse for other researchers into industrial working conditions which are often difficult to gain access to, and a possible way forward for how mobile devices could effectively enhance users working experiences.

This paper explores the integration of Human Factors (HF) into Multi-Agent Systems (MAS) to enhance fairness in decision-making processes in Industry 5.0 environments. We contribute with a human-centred perspective in the development of MAS by integrating the physiological aspects of workers in the manufacturing industry. This culminates in the measurement of human resilience. This paper presents an automotive manufacturing environment where wearable sensors and AI-driven analytics assess workers' physiological and psychological stress levels to calculate a human resilience score. This score, along with worker preferences, supports a dynamic worker allocation algorithm based on MAS that adapts to production demands. Our approach embodies the Industry 5.0 vision of technologies that support adaptive, transparent and, above all, fair human management. The system uses advanced technologies to meet business goals and employee needs and to promote a more inclusive, supportive and people-centred work environment.

As the development of technology, the mobile phone world also has developed very quickly. Mobile communication and services, over emerging wireless technologies, provide anyone, anytime and anywhere access. Moreover, the intelligence is now often embedded into modern applications, such as surveillance and supervising systems. This work presents an intelligent and a pervasive supervising platform for information system (IS) security based on multi-agent systems (MAS) which detects and classifies malware events that occurs on software and hardware components and sends real time notification to smart phone users. The proposed platform is formed by two components: The first one consists of a Central Software Component (CSC); the supervisor application that manages devices and evaluates logs and alarms of the supervised components. The second one consists of an Embedded Software Component (ESC) on the Mobile Device (MD) with an ANDROID OS. In our platform, we have implemented agents on ESC using JADE-LEAP android, note that the ESC is targeted to smart phones and tablet that run the operating system Android, JADE API on CSC and the communication between these two components is performed using the Secure Socket Layer (SSL) protocol implemented using the JADE-S plug-in.

Smart sensor-equipped mobile devices sense, collect, and process data generated by the edge network to achieve intelligent control, but such mobile devices usually have limited storage and computing resources. Mobile cloud storage provides a promising solution owing to its rich storage resources, great accessibility, and low cost. But it also brings a risk of information leakage. The encryption of sensitive data is the basic step to resist the risk. However, deploying a high complexity encryption and decryption algorithm on mobile devices will greatly increase the burden of terminal operation and the difficulty to implement the necessary privacy protection algorithm. In this paper, we propose ENSURE (EfficieNt and SecURE), an efficient and secure encrypted search architecture over mobile cloud storage. ENSURE is inspired by edge computing. It allows mobile devices to offload the computation intensive task onto the edge server to achieve a high efficiency. Besides, to protect data security, it reduces the information acquisition of untrusted cloud by hiding the relevance between query keyword and search results from the cloud. Experiments on a real data set show that ENSURE reduces the computation time by 15% to 49% and saves the energy consumption by 38% to 69% per query.

Mobile Cloud computing has shown its capability to support mobile devices for provisioning computing, storage and communication resources. Many existing research has proposed to offload computation tasks from mobile devices to clouds in order to reduce energy consumption, where the offloading service model is usually one-to-one. Due to the development of mobile sensing and location-based mobile cloud services, the cloud edge has been extended to the mobile devices and sensors. As a result, the one-to-one model is not sufficient to model the dynamic changes of mobile cloud-based services. Thus, a many-to-many (or multi-site) mobile cloud service composition is highly desired. In this research, MoSeC is presented to model the many-to-many mobile cloud service composition, where there are multiple surrogates, such as cloud computing nodes, mobile devices, or sensors, and their services (i.e., computation, storage, sensing, etc.) can be composed to fulfill functions required by a mobile service requestor. MoSeC takes into considerations the surrogates' changes due to their mobility and resource constraints. Moreover, MoSeC takes into considerations several service metrics for service mapping (or allocation) through a mobile cloud service topology reconfiguration process. A set of algorithms are presented to address the Service Topology Reconfiguration Problem (STRP) in several mobile cloud representative application scenarios, i.e., they are modeled as finite horizon scenarios, infinite horizon scenarios, and large state space scenarios to represent ad hoc, long-term, and large-scale mobile cloud service composition scenarios, respectively.

“Essential Security Practices for Fortifying Mobile Apps” is a definitive guide designed to empower developers, security professionals, and organizations with the knowledge and tools needed to secure mobile applications in an increasingly complex digital landscape. This comprehensive book covers every aspect of mobile app security, providing actionable insights and practical strategies to protect apps from the ever-evolving threat landscape. The book begins with an Introduction to Mobile App Security (Chapter 1), where readers are introduced to the critical importance of securing mobile apps. It discusses common security threats, the principles of security by design, and the unique challenges faced in mobile app development. The chapter also includes case studies of major security breaches, offering real-world context to the concepts discussed. In Secure Development Lifecycle (Chapter 2), the book emphasizes the importance of integrating security into the Software Development Lifecycle (SDLC). Topics such as threat modeling, secure coding practices, and penetration testing are explored in depth. This chapter also covers the role of continuous integration in maintaining security and the necessity of incident response planning and security training. Authentication and Authorization (Chapter 3) dives into the mechanisms that ensure only authorized users have access to mobile apps. It covers secure authentication methods, including multi-factor authentication and token-based authentication, as well as best practices for session management and password storage. The chapter provides guidelines to avoid common authentication flaws that could compromise app security. Data Protection and Privacy (Chapter 4) addresses the crucial aspects of encrypting data both at rest and in transit. It discusses secure data storage, privacy by design principles, and the handling of personally identifiable information (PII). Readers will learn about secure data deletion and compliance with data protection regulations, as well as the use of secure cryptographic libraries. Network Security (Chapter 5) explores the protocols and techniques needed to secure communication between mobile apps and their backend systems. The chapter covers the correct use of TLS/SSL, protecting against man-in-the-middle attacks, and securing backend APIs. It also discusses the importance of monitoring and logging network activity to detect and respond to potential threats. The book then moves on to Secure Coding Practices (Chapter 6), providing guidance on avoiding common coding vulnerabilities through input validation, error handling, and defensive programming techniques. It also covers secure code reviews and the best practices for using mobile platform APIs securely. Mobile Device Security (Chapter 7) shifts focus to the security of the devices on which mobile apps run. The chapter discusses mobile device threats, secure device configuration, and the use of mobile device management (MDM) solutions. It also addresses the security features of mobile devices, such as secure boot and remote wiping, which are essential for protecting against device theft or loss. In Secure Deployment and Distribution (Chapter 8), readers will learn about secure strategies for deploying and distributing mobile apps. Topics include code signing, protecting against repackaging and tampering, and securely distributing sensitive data. The chapter also covers handling updates and patches, ensuring that apps remain secure after deployment. Security Testing and Validation (Chapter 9) provides an in-depth look at the various types of security testing, including automated and manual testing techniques. It discusses penetration testing best practices, vulnerability assessment, and the integration of security testing into CI/CD pipelines. Regular security audits and addressing found vulnerabilities are also emphasized. Incident Response and Management (Chapter 10) guides readers in building an effective incident response team and creating a robust incident response plan. The chapter covers the steps for detecting, analyzing, containing, eradicating, and recovering from security incidents. Post-incident analysis and communication with stakeholders are also discussed, alongside legal and regulatory considerations. Finally, Future Trends in Mobile App Security (Chapter 11) explores the emerging threats and advancements in mobile security technologies. The chapter discusses the role of artificial intelligence in security, the integration of IoT with mobile devices, and the potential of blockchain in enhancing mobile security. It also highlights the importance of user education and awareness in safeguarding mobile applications in the future. “Essential Security Practices for Fortifying Mobile Apps” is an invaluable resource for anyone involved in the development, deployment, and management of mobile applications, offering a thorough understanding of the security challenges and the strategies needed to overcome them.

Software agents for knowledge management: coordination in multi-agent supply chains and auctions

Industry processes are the trans-corporate business processes required to support the e-business environment. Industry process reengineering is the re-engineering of trans-corporate business processes as electronically managed processes. Industry process re-engineering is business process re-engineering on a massively distributed scale. Industry processes will not be restricted to routine workflows that follow a more-or-less fixed path; they will include complex processes for which their future path may be unknown at each stage in their existence. So a management system for industry processes should be both highly scalable and should be able to deal with such complex processes. A multiagent process management system is described that can manage processes of high complexity. This system is built from interacting autonomous components so achieving system scalability.

The mobile device market has witnessed swift industrial growth over the last decade. The quick expansion of this new computing platform has almost outpaced the software engineering processes customized to mobile application development. However, there is still lack of novel research initiatives around the mobile application development process. There remains a deficiency in development standards and best practices which expose the mobile device to potential attacks. This deficiency needs to be addressed promptly and requires further work. \nThe objective of this research is to better understand the current methodologies adapted and to investigate challenges faced during the mobile application development processes that are different from traditional enterprise application. For this purpose, an online survey was conducted from the mobile research and development community. The survey questions covered the entire mobile application development lifecycle starting with requirements, and ending with bringing to life a complete mobile application. \nThe study contributes towards a greater understanding of mobile application development process, examines real challenges confronted, and investigates the best practices that can be successfully implemented to enhance, evaluate, and improve the performance of the mobile application development process. These findings can also be considered as a possible research topic that indicates the breadth of research requirements and prospects in mobile computing.

This paper will discuss a design and implementation of the MAST and the mobileMAST application, a multi-agent system (MAS) for a structural optimum design application (SODA) on mobile devices. Three different versions of the MAST problem are distinguished and the approach for each one is outlined. The paper presents an investigation into the performance of the mobile client and computational results as well as performance evaluations are presented.

This paper presents the Agent Based Learning Objects - OBAA standard proposal. The main goal of the research was to establish a standardized specification of the technical and functional requirements of learning objects that should allow the interoperability of the contents between Web and Digital TV environment, supporting accessibility and pedagogical issues. In this proposal it has been explored the convergence among the multiagent systems, LO and ubiquitous computing technologies, allowing the authoring, storage and recovery of LO in varied contexts and through different digital platforms. The result of this research was the definition of the OBAA proposal containing the requirements, specifications and architectures that will compose the Brazilian standard for the management, transmission, storage, search, editing and use of LO that can be distributed and used in an integrated manner within the Web platforms, mobile devices and Digital TV.

One of the main directions of information systems development is to increase the efficiency of collecting, processing and exchanging information through the introduction of modern data transfer technologies, automated remote monitoring and control. The cornerstone of this concept is mobile devices that solve the issue of operational data exchange and processing. Modern mobile services used including the exchange and processing of personalized, banking and critical data are the result of the steady increase in the number of crimes in the field of information security in relation to and using mobile devices. The widespread use of these devices for access to protected information contained in information systems has given special importance to the issue of information security.The subject of this research is to assess the current state of information security mechanisms for mobile operating systems that form the basis of the structure of episodic distributed mobile networks. The Android OS (operating system) was used as an example. The article discusses the problems of the development of a mobile ecosystem and methods aimed at solving them, the main vectors of malicious impact, ways of countering the means of static and dynamic analysis and modern protection mechanisms.