ABSTRACT: With the increase in security breaches and hacks, there is a need to have stronger cryptographic protocols, one which is able to prove more difficult for an attacker. The fields of Game-Theory and Cryptography are similar in their approach in dealing with parties who wish to follow a set of rules known as a
ABSTRACT: Intrusion detection is an important aspect of network security for organizations which rely on networks to run its daily operations. Intrusion detection systems can serve as misuse (signature based) system or anomaly based system. This work investigates the classification of network streams in order to detect anomaly intrusion in an intrusion detection system. Most
Abstract: Distributed Denial of Service (DDoS) attacks are threats not only for the direct targets but also for the core of a network. These attacks can be so powerful that they can easily deplete the computing resources or bandwidth of the potential targets, by flooding packets. They are also hard to detect in advance, hence
Abstract— The progress of mobile payment research over the last decade till now has been critically assessed, yet security issue still occurring. Existing schemes are not sufficient to combat all the security issues in mobile payment from the security of system perspective and usability. Hence, we proposed an enhanced mobile payment security scheme (EMPS) using
Abstract: Skin colour is often being used as a cue for face detection, recognition, tracking in videos and other skin-based biometrics. Over the years, there has been a lot of works done and is still on in skin detection for face detection and other video analytical purposes. Thus, there is a call for the availability
Abstract: All academic activities produce records such as statements of result, testimonials, certificates and transcripts, most of which are stored in manual file cabinets and relational databases. With the growing importance of academic records in Nigeria, it has become imperative to protect them from falsification and accidental modification. Though the use of relational databases has
Abstract: Software product line engineering (SPLE) is a paradigm, which promotes the production of families of software-intensive products that share a common domain, rather than individual systems development. This is achieved by embracing the ideas of mass customization and software reuse of core assets. SPLE focuses on exploiting similarities within a set of software products
Abstract: Clinical diagnosis and monitoring are gradually shifting into the homes of patients. These are now easily attained because of increased efforts geared towards creation of more approximate medical diagnostic reasoning algorithms (MDRAs). Researchers have crafted different medical algorithms for developing healthcare delivery systems, with most of these algorithms being built on the knowledge clinicians
Abstract: In medicine, the best diagnostician are held in high esteem, in the case of pregnant women correct diagnosis of bleeding in late pregnancy (after age of viability) makes a difference between life and death for the mother and/or baby. Information gathering from patient by clinicians during diagnostic procedures requires some skills to adequately collect
Abstract: Millions of homes are being equipped with smart devices (e.g. smart meters, sensors etc.) which generate massive volumes of fine-grained and indexical data that can be analyzed to support smart city services. In this paper, we propose to refine a model and introduce distributed learning of big data mining from multiple smart houses in