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Criminal activity in the Internet is becoming more sophisticated. Traditional information security techniques hardly cope with recent trends. Honeypots proved to be a valuable source of threat intelligence. In this work several Honeypots are combined into a Honeynet and observed exploitation attempts. The Honeynet consists of six Honeypots and was operated for 222 days. 12 million exploitation attempts...
Innovative wellness gadgets are the products of convergence of science and technology in this dynamic digital era. It has not been possible before to provide just-in-time intervention to avoid unhealthy behavior. The change in behavior requires the understanding of the behavior theories and then practical implementation of the stages. Transtheoretical model supports to identify the stage of human...
In this paper, we propose to determine whether the viewer's behavior changes or not before, during and after watching a TV program. Are there any behaviors specific to each particular phase of viewing? Here, we propose a flexible and nonintrusive method based on the use of three categories of everyday connected objects (i.e. Smartphone, smartwatch and remote control). Data were collected during participants'...
This study focuses on multimodal artifact metrics and proposes a technique based on multimodal biometric systems that are a type of biometric identification systems. It is expected that this technique can aid in verifying the authenticity of each artifact in a more accurate manner and in increasing the level of difficulty involved in counterfeiting when compared to those of existing artifact metric...
Today's high-performance computing (HPC) systems are heavily instrumented, generating logs containing information about abnormal events, such as critical conditions, faults, errors and failures, system resource utilization, and about the resource usage of user applications. These logs, once fully analyzed and correlated, can produce detailed information about the system health, root causes of failures,...
Cloud computing and cloud storage systems are being used more and more in a variety of domains, from everyday user applications like healthcare monitoring systems and intelligent buildings to military devices. The deployment of these frameworks also enables modern control and automation paradigms found in cyber-physical systems and Industry 4.0. Driven by exponential decreases in computing and storage...
Our daily life is characterized by countless human relationships. Every day we go to work, do shopping, partake in leisure time. At the base, there are some choices that lead us to make a series of activities; In which we interact and relate with many people. What influences the choices we make? Answering this question can be a very daunting task. However, it can help us to identify the main key elements...
Knowledge mining from the historical traffic big data is absolutely necessary for future intelligent transportation system (ITS) and smart city. Mining traffic data is a challenging task that can be used for traffic forecasting and improving traffic flow. In this paper, we explore and analyse the historical traffic big data to extract the informative patterns. Three years (2013 to 2015) real traffic...
In the context of Internet of Things (IoT), the amount of data collected from physical objects is ever increasing. However, in the whole infrastructure there are several bottlenecks related especially to hardware limitations (low end processors on devices and communication means), but also time, therefore analyzing this data requires knowledge about the available computational resources. In this article...
Increased competition and customer' expectations forces industries (1st) to react more quickly and agile to marked trends, (2nd) to shorten their product release cycles, and (3rd) to create innovative and intelligent products able to self-adapt to their owners' or licensee' requirements depending on the current context. This paper presents (1st) an overview of a novel ICT engineering platform for...
Synthetic aperture radar data acquired by the Radar Imaging Satellite (RISAT-1) over experimental oil spills is here investigated. One quad-polarization scene in the Fine Resolution Alternate Polarization Stripmap (FRS-2) mode is analyzed to evaluate the potential of using this mode for oil spill observation. Oil slicks of varying type and age are clearly detected in the HH and VV channels, with relatively...
Cyber physical systems (CPS) involve physical and cyber components seamlessly integrated one into another. With the current technical and technological developments CPS are getting increasingly pervasive in multiple spheres of society. CPS are laying on the edge between engineering and information technology. In both cases CPS becoming more and more complex. This complexity constitutes a great challenge...
This study aimed to investigate the relationship between learning behaviors (hypothesis-making, interpreting graphs, applying formula, conclusion-making and conceptual understanding) and learning achievement on vocational students who use our developed Ubiquitous-Physics (U-Physics) to learn simple pendulum in the experiment. Thus, this study conducted an experiment with participating second grade...
Today smart devices such as smartphones, smartwatches and activity trackers are widely available and accepted in most developed societies. These devices present a broad set of sensors capable of extracting detailed information about different situations of daily life, which, if used for good, have the potential to improve the quality of life not only for individuals but also for the society in general...
A large number of learning tools offering some sort of personalisation features rely mainly on the analysis of logged interactions between students and particular user interfaces. Much less attention has been given to the analysis of physical aspects so often present in 'traditional' intellectual tasks, although these are both important in the full development of a life-long learner. This paper (1)...
For organisations, there is a lot of duplicate information, vast volume of data, enormous news and publications, which requires real time enterprise systems to discover useful knowledge. A real time enterprise system can be developed based on Service-Oriented Architecture (SOA) and Component based Development (CBD). However, current SOA and CBD have limitations to upgrade itself since they are very...
Satellite imagery provides geospatial data, generally terabytes in size. Due to their cost effectiveness and scalability, they are used in various large scale applications related to ecological monitoring. However, satellite data is prone to problems of data incompleteness owing to a number of issues such as cloud cover, fog, etc. In this paper, we conduct a detailed study on the 10 years of satellite...
This vision paper reviews the current state-ofart and lays out emerging research challenges in parallel processing of spatial-temporal large datasets relevant to a variety of scientific communities. The spatio-temporal data, whether captured through remote sensors (global earth observations), ground and ocean sensors (e.g., soil moisture sensors, buoys), social media and hand-held, traffic-related...
We propose a 'Sentiment Analysis as a Service' (SAaaS) framework that abstracts sentiments from social information services, analyses and transforms into useful information. We propose a dynamic service composition mechanism for sentiment analysis based on the social information service classification. We also propose a new quality model to assess the quality of social information services. We use...
The next technological disruption in the field of Internet of Things (IoT) is the predictive analytics on IoT. The predictive analytics on IoT not only helps us in achieving the goal of smart IoT devices but also reduces the time required to configure the IOT appliances. The branch of predictive analytics came into existence very recently after extensive research in the field of Data Analytics. Although...
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