•Journal•ISSN: 1820-0214
Computer Science and Information Systems
ComSIS Consortium
About: Computer Science and Information Systems is an academic journal published by ComSIS Consortium. The journal publishes majorly in the area(s): Computer science & Artificial intelligence. It has an ISSN identifier of 1820-0214. It is also open access. Over the lifetime, 884 publications have been published receiving 8646 citations.
Topics: Computer science, Artificial intelligence, Wireless sensor network, Software development, Cloud computing
Papers published on a yearly basis
Papers
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TL;DR: A trust and reputation model TRM-IoT is presented to enforce the cooperation between things in a network of IoT/CPS based on their behaviors and the accuracy, robustness and lightness of the proposed model is validated through a wide set of simulations.
Abstract: Since a large scale Wireless Sensor Network (WSN) is to be completely
integrated into Internet as a core part of Internet of Things (IoT) or Cyber
Physical System (CPS), it is necessary to consider various security
challenges that come with IoT/CPS, such as the detection of malicious
attacks. Sensors or sensor embedded things may establish direct communication
between each other using 6LoWPAN protocol. A trust and reputation model is
recognized as an important approach to defend a large distributed sensor
networks in IoT/CPS against malicious node attacks, since trust establishment
mechanisms can stimulate collaboration among distributed computing and
communication entities, facilitate the detection of untrustworthy entities,
and assist decision-making process of various protocols. In this paper, based
on in-depth understanding of trust establishment process and quantitative
comparison among trust establishment methods, we present a trust and
reputation model TRM-IoT to enforce the cooperation between things in a
network of IoT/CPS based on their behaviors. The accuracy, robustness and
lightness of the proposed model is validated through a wide set of
simulations.
470 citations
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TL;DR: A new method to detect outliers by discovering frequent patterns (or frequent itemsets) from the data set by defining a measure called FPOF (Frequent Pattern Outlier Factor) and proposing the FindFPOF algorithm to discover outliers.
Abstract: An outlier in a dataset is an observation or a point that is considerably dissimilar to or inconsistent with the remainder of the data. Detection of such outliers is important for many applications and has recently attracted much attention in the data mining research community. In this paper, we present a new method to detect outliers by discovering frequent patterns (or frequent itemsets) from the data set. The outliers are defined as the data transactions that contain less frequent patterns in their itemsets. We define a measure called FPOF (Frequent Pattern Outlier Factor) to detect the outlier transactions and propose the FindFPOF algorithm to discover outliers. The experimental results have shown that our approach outperformed the existing methods on identifying interesting outliers.
193 citations
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TL;DR: The characteristics of systems with Ambient Intelligence are described to provide examples of their applications and to highlight the challenges that lie ahead, especially for the Software Engineering and Knowledge Engineering communities.
Abstract: Ambient Intelligence aims to enhance the way people interact with their environment to promote safety and to enrich their lives. A Smart Home is one such system but the idea extends to hospitals, public transport, factories and other environments. The achievement of Ambient Intelligence largely depends on the technology deployed (sensors and devices interconnected through networks) as well as on the intelligence of the software used for decision-making. The aims of this article are to describe the characteristics of systems with Ambient Intelligence, to provide examples of their applications and to highlight the challenges that lie ahead, especially for the Software Engineering and Knowledge Engineering communities. In particular we address system specification and verification for the former and knowledge acquisition from the vast amount of data collected for the latter. .
185 citations
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TL;DR: It is proposed that cyber-physical systems (CPS) is an evolution of M2M by the introduction of more intelligent and interactive operations, under the architecture of IoT.
Abstract: In recent years, cyber-physical systems (CPS) have emerged as a promising
direction to enrich the interactions between physical and virtual worlds. In
this article, we first present the correlations among machine-to-machine
(M2M), wireless sensor networks (WSNs), CPS and internet of things (IoT), and
introduce some research activities in M2M, including M2M architectures and
typical applications. Then, we review two CPS platforms and systems that have
been proposed recently, including a novel prototype platform for multiple
unmanned vehicles with WSNs navigation and cyber-transportation systems.
Through these reviews, we propose CPS is an evolution of M2M by the
introduction of more intelligent and interactive operations, under the
architecture of IoT. Also, we especially hope to demonstrate how M2M systems
with the capabilities of decision-making and autonomous control can be
upgraded to CPS and identify the important research challenges related to CPS
designs.
163 citations
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TL;DR: An experiment was carried out to compare such a domain-specific language with a comparable application library and a cognitive dimension framework has been used for a comparison between XAML and C# Forms.
Abstract: Many domain-specific languages, that try to bring feasible alternatives for existing solutions while simplifying programming work, have come up in recent years. Although, these little languages seem to be easy to use, there is an open issue whether they bring advantages in comparison to the application libraries, which are the most commonly used implementation approach. In this work, we present an experiment, which was carried out to compare such a domain-specific language with a comparable application library. The experiment was conducted with 36 programmers, who have answered a questionnaire on both implementation approaches. The questionnaire is more than 100 pages long. For a domain-specific language and the application library, the same problem domain has been used - construction of graphical user interfaces. In terms of a domain-specific language, XAML has been used and C# Forms for the application library. A cognitive dimension framework has been used for a comparison between XAML and C# Forms.
149 citations