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This paper aims to understand business model in the context of open innovation, and to develop a conceptual framework for business model innovation in the process towards an open business model. The literature study presented in this paper shows that a business model in the context of open innovation is not a strategy of a company, but a cognitive tool and a mediating construct between technology...
The most common method of authentication or protection against intrusion in a computer system is to use alphanumeric usernames and password. Choosing a strong password and protecting the chosen password has always been a popular topic among security researchers. Traditionally strong password schemes could provide with certain degree of security but strong password leads complexity and difficult to...
Requirements analysis is a fundamental phase in the development of digital tools and concentrates essentially on computational aspects consisting on the identification of input and output flows as well as processing. Nevertheless, requirements analysis is difficult to conduct when contents and relations are complex and dynamic. Recently, the ecosystem approach has been used to understand and model...
Small to Medium Enterprises (SMEs) are struggling to eTransform and implement required Information and Communication Technologies. This research investigates how best companies, in particular SMEs, can track, measure and guide their eTransformation journey. eTransformation in this research is seen as the ability of the companies to implement appropriate technology and successfully carry out their...
Sequential pattern mining is new trend in data mining domain with many useful applications, especially commercial application but it also results surprised effect in adaptive learning. Suppose there is an adaptive e-learning Website, a student access learning material / do exercises relating domain concepts in sessions. His learning sequences which are lists of concepts accessed after total study...
This project deals with how to detect fraud and non-compliance in financial statements in the present day in one of the biggest economies in the world, the U.S. Since it is mainly public companies that release detailed financial information, they are the focus. This project focuses on the top five market sectors where fraud is most common. It focuses on a variety of fraud types, but not on cases of...
This paper analyzed the relationship between the nearest neighbour algorithm and the topology of reference tags used in LANDMARC, and proposed an optimal arrangement of reference tags. Simulation results showed that the new topology can provide better performance than the old one used in LANDMARC.
Spammers are always looking for new ways to bypass filters and spread spam content. Currently, spammers have not only improved their spam methods but have also moved towards exploiting software security vulnerabilities in order to spread their spam content. Spammers use weaknesses inside Web applications to inject their spam content into legitimate Web sites, redirect users to their own campaign,...
In order to form a sustainable digital knowledge ecosystem (DKE), networking of knowledge actors and organization of their communities has substantial effect upon its long term performance. The measure of performance and sustain-ability of any such system depends upon the knowledge level of individual actors, who evolve into knowledge organisms (KO) and play multiple roles. Here we attempt to develop...
Fixed-mobile convergence (FMC) is the term used to describe a wide range of mobile services that converge elements of fixed communications infrastructure to complement the core mobile service. IP multimedia subsystem (IMS) is the approach towards merging the fixed and mobile worlds together with the Internet. It enables the efficient provision of an open set of highly integrated multimedia services,...
In this paper, we present a platform called Knowledge Community (K-Comm) that embodies the principles of a digital ecosystem with collective intelligence. This platform is a knowledge-based social network which allows users to contribute and seek information. Users can ask questions or answer questions asked by other members. K-Comm also captures the user profile, and based on a user's participation,...
There is already a modest body of research on structural properties of online social networking websites. However, there seems to be a big gap when it comes to important questions related to underlying network forces that create that structure. Drawing from empirically grounded theories of off-line communication networks, hypotheses about the biases (forces) creating the friendship structure in educational...
We present a virus detection-and-removal service architecture for digital ecosystems which is inspired by biological ecosystems. This service becomes active as soon as a virus infection of a machine is identified. In a biological ecosystem, as a virus is found to be active, all organisms infected by it need to be identified and treated. In some cases, if they cannot be treated, the only option left...
Bayesian belief propagation is flexible and highly adaptable in not only machine learning and artificial intelligence methodologies, but also to newer forms of learning involving agent interactions in digital ecosystems, specifically multi-agent systems. One important property of such systems is agent autonomy. An aspect of agent autonomy, enactive knowledge, is investigated here through a Bayesian...
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