Behavior-based anomaly detection on big data

Recently, cyber-targeted attacks such as APT (Advanced Persistent Threat) are rapidly growing as a social and national threat. It is an intelligent cyber-attack that infiltrates the target organization and enterprise clandestinely using various methods and causes considerable damage by making a final attack after long-term and through preparations. These attacks are threatening cyber worlds such as Internet by infecting and attacking the devices on this environment with the malicious code, and by destroying them or gaining their authorities. Detecting these attacks requires collecting and analysing data from various sources (network, host, security equipment, and devices) over the long haul. Therefore, we propose the method that can recognize the cyber-targeted attack and detect the abnormal behavior based on Big Data. The proposed approach analyses faster and precisely various logs and monitoring data using Big Data storage and processing technology. In particular, we evaluated that the suspicious behavior analysis using MapReduce is effective in analysing large-scale behavior monitoring and log data from various sources

A service-orientated architecture for adaptive and collaborative e-learning systems

This research proposes a new architecture for Adaptive Educational Hypermedia Systems (AEHS). Architectures in the context of this thesis refer to the components of the system and their communications and interactions. The architecture addresses the limitations of AEHS regarding interoperability, reusability, openness, flexibility, and limited tools for collaborative and social learning. It presents an integrated adaptive and collaborative Web-based learning environment. The new e-learning environment is implemented as a set of independent Web services within a service-oriented architecture (SOA). Moreover, it uses a modern Learning Management System (LMS) as the delivery service and the user interface for this environment. This is a two-way solution, whereby adaptive learning is introduced via a widely adopted LMS, and the LMS itself is enriched with an external - yet integrated - adaptation layer. To test the relevance of the new architecture, practical experiments were undertaken. The interoperability, reusability and openness test revealed that the user could easily switch between various LMS to access the personalised lessons. In addition, the system was tested by students at the University of Nottingham as a revision guide to a Software Engineering module. This test showed that the system was robust; it automatically handled a large number of students and produced the desired adaptive content. However, regarding the use of the collaborative learning tools, the test showed low levels of such usage

A service-orientated architecture for adaptive and collaborative e-learning systems

This research proposes a new architecture for Adaptive Educational Hypermedia Systems (AEHS). Architectures in the context of this thesis refer to the components of the system and their communications and interactions. The architecture addresses the limitations of AEHS regarding interoperability, reusability, openness, flexibility, and limited tools for collaborative and social learning. It presents an integrated adaptive and collaborative Web-based learning environment. The new e-learning environment is implemented as a set of independent Web services within a service-oriented architecture (SOA). Moreover, it uses a modern Learning Management System (LMS) as the delivery service and the user interface for this environment. This is a two-way solution, whereby adaptive learning is introduced via a widely adopted LMS, and the LMS itself is enriched with an external - yet integrated - adaptation layer. To test the relevance of the new architecture, practical experiments were undertaken. The interoperability, reusability and openness test revealed that the user could easily switch between various LMS to access the personalised lessons. In addition, the system was tested by students at the University of Nottingham as a revision guide to a Software Engineering module. This test showed that the system was robust; it automatically handled a large number of students and produced the desired adaptive content. However, regarding the use of the collaborative learning tools, the test showed low levels of such usage

Providing Service-based Personalization in an Adaptive Hypermedia System

Adaptive hypermedia is one of the most popular approaches of personalized information access. When the field started to emerge, the expectation was that soon nearly all published hypermedia content could be adapted to the needs, preferences, and abilities of its users. However, after a decade and a half, the gap between the amount of total hypermedia content available and the amount of content available in a personalized way is still quite large.In this work we are proposing a novel way of speeding the development of new adaptive hypermedia systems. The gist of the approach is to extract the adaptation functionality out of the adaptive hypermedia system, encapsulate it into a standalone system, and offer adaptation as a service to the client applications. Such a standalone adaptation provider reduces the development of adaptation functionality to configuration and compliance and as a result creates new adaptive systems faster and helps serve larger user populations with adaptively accessible content.To empirically prove the viability of our approach, we developed PERSEUS - server of adaptation functionalities. First, we confirmed that the conceptual design of PERSEUS supports realization of a several of the widely used adaptive hypermedia techniques. Second, to demonstrate that the extracted adaptation does not create a significant computational bottleneck, we conducted a series of performance tests. The results show that PERSEUS is capable of providing a basis for implementing computationally challenging adaptation procedures and compares well with alternative, not-encapsulated adaptation solutions. As a result, even on modest hardware, large user populations can be served content adapted by PERSEUS

Design of a Learner-Directed E-Learning Model

How can one create online educational material that support and motivate students in guiding their own learning and make meaningful instructional decisions? One of the main focuses on designing e-learning is about creating an environment where learners can actively assume control and take responsibility for their own learning with little or no guidance from the tutors. This research aims to discover a new way to design learning that would cater to individual choices and preferences. The idea goes beyond learner-centred design; it is about learner control and direction. As an option, learners should be able to choose to be in the driver’s seat, to direct their own learning journey. As a starting point, this research explores the use of two educational theories - Experiential Learning Theory (ELT) and Self-Regulated Learning (SRL) theory as the underpinning instructional design for a Learner-Directed Model to support students’ online learning in both domain knowledge and meta knowledge in the subject of computer programming. One unit material from an online Introduction to Java Programming course has been redesigned based on the proposed Learner-Directed Model for the experimental design study. The study involved a total of 35 participants divided randomly into one Experimental Group and one Control Group. They were assigned to either a Learner-Directed Model (Experimental Group) or a linear model (Control Group). Pre/post tests, survey, follow-up interview as well as log file analysis were instruments used for assessing students’ domain knowledge, meta knowledge and their attitudes for their overall learning experience. Learning experience is further broken down into perceived ease of use and user satisfaction; system usability; learner experience; and perceived controllability. The results of the study have revealed that there is statistically significant difference between the survey results for the Experimental Group and the Control Group. The Experimental Group reported a higher level of overall learning experience and better attitudes in general. However, there was no statistically significant difference existing between the two groups on the domain and meta level knowledge improvement. Based on these results, I have proposed further research directions and put forward a number of recommendations and suggestions on learner-directed e-learning design

Supporting the Learning of Computer Programming in an Early Years Education

The deployment of technology across the globe towards creating efficient learning environments is growing rapidly. In the United Kingdom, for example, the government is investing an enormous amount of money in primary school early years programming lessons. The ideology behind this push is to strengthen the link between the younger generation and the technological growth that will continue to have an ever-increasing impact on their lives and to fuel the pace of innovation. One of the core themes of this area is that of computer programming, which has now become a mandatory subject in early years’ education. As a result of this change, many challenges are being faced by teachers and pupils; for example, teachers require more training and young students need appropriate tools that suit their level of learning. Therefore, this research aimed to help facilitate the process of teaching and learning programming for the young generation via the provision of a suitable technologically educational programming system whereby they can develop their programming skills. This proposed system has some pedagogical characteristics that distinguish it from other programming tutoring systems. The proposed system is based on assessment-driven learning whereby pupils are provided with suitable programming learning that fits their appropriate learning levels. Another characteristic of this proposed system is that pupils are learning programming through a deep learning approach, e.g. thinking and analysing how to solve the problem, not like other existing tools which have attempted only to achieve lower learning outcomes, e.g. remembering a concept and then answering multiple-choice questions. Two experimental studies were conducted on pupils from two UK primary schools to evaluate the effectiveness of our proposed system, and the results indicated that pupils found the proposed system helped them to learn programming, as well as they made good progress and they enjoyed what they were learning. Consequently, it can be interpreted from the research findings that an automated teaching and learning programming system that supports the right pedagogical aspects, e.g. assessment-driven learning with the inclusion of game-based learning, would make the learning process more successful and enjoyable for pupils in early years of education

On Adoption and Use of Hospital Information Systems in Developing Countries: Experiences of Health Care Personnel and Hospital Management in Tanzania

The use of health IT has become prevalent in hospitals across the world. Hospital information system (HIS) is the backbone of a modern hospital. It generally consists of several integrated modules covering distinct parts of administrative and clinical functions of a hospital, including inpatient and outpatient operations, human resources, electronic medical records (EMR), information on imaging, laboratory, and pharmacy. HIS can improve the operational performance of a hospital, and ultimately lead to better patient experience, improved health outcomes, and increased revenue for the hospital. Developing countries have special challenges in adopting and using these systems, including low computer skills of personnel, substandard ICT infrastructure, and widely prevalent paper-based systems across hospitals. The government of Tanzania has recently implemented a national eHealth strategy to support the adoption of health IT. As a result, local health care facilities have started adopting hospital information systems, and decision-makers at hospitals need guidance on how to select an appropriate HIS. As user experience is an important aspect of health IT affecting the adoption and use of these systems, we studied the perceptions of health care personnel and hospital management in regard to three hospital information systems, AfyaPro, Care2X, and GoTHoMIS, used in Tanzanian hospitals. The thesis consists of the qualitative user study and literature review of HIS adoption and use in developing countries. The thesis has been done in collaboration with Capacity Building of Tanzanian Health Information System project, a multi-stakeholder initiative consisting of partners in Finland and Tanzania. The project aims to build eHealth competencies in Tanzania. The study found out that hospital information systems provide a myriad of quantifiable benefits to both hospitals and patients, but they still pose many challenges to the users. Automation, reduction in manual work, and tracking various hospital metrics were perceived as major benefits of HIS. However, hospital personnel’s lack of ICT skills, frequent power cuts, lack of necessary HIS integrations, and usability issues were perceived as challenges in HIS use. The main rationale for this thesis was to explore the user perceptions of HISs and to inform decision-makers in Tanzanian hospitals for selecting an appropriate hospital information system and guide HIS developers in creating better systems