Mobile Network Architecture

Critical for identification of the potential sources of evidence in every network forensics investigation is the definition of the system architecture. The mobile network architecture has two main definitions, one concerning the network deployments before the 3GPP consolidated the mobile standardization, and one for the 3GPP networks onwards. Forensic investigators need to know both of them; the real-world network deployments include elements from different generations, so the uncovering of mobile network evidence requires knowledge of how every generation operates in practice. This chapter provides a detailed overview of the pre-3GPP network architecture, defining the critical elements for recognizing, acquiring, analyzing, and interpreting potential mobile network evidence.

2020 ◽  
pp. 95-98
Author(s):  
Philippe Rochat

Humans can’t help but generalize in ways that are rarely, if ever, dictated by reason and prudence. We jump quickly to confirmatory and reassuring conclusions with a propensity to invent things in reference to worlds that only exist in our minds. Rather than being just games of the imagination, these inventions actually influence, often unbeknownst to us (subliminally), our attitudes and actions in the real world, in particular our discriminatory attitudes and actions toward people. Our innate propensity to chunk, cluster, and categorize things corresponds with our propensity to reproduce patterns of reality that are constructed based on ready-made or default implicit beliefs (i.e., stereotyping). Furthermore, the built-in default assumption that things and people have essential, nonobvious characteristics (definition of essentialism) allows for the immediate experience of favorable or unfavorable feelings toward people or things prior to, or not based on, actual experience (i.e. the definition of prejudice).


Author(s):  
Y. Yongling

Geographical information system (GIS) is one kind of information system that handles spatial data. It is difficult to give one definitive definition about GIS (Heywood, Cornelius, & Carver, 2002; Maguire, Goodchild, & Rhind, 2001). This variety of definitions can be explained by the fact that any definition of GIS will depend on who is giving it, and their background and viewpoint (Pinkles, 2002). The complete definition of GIS is selected here as: “a set of tools for collecting, storing, retrieving at will, transforming, and displaying spatial data from the real world for a particular set of purposes”(Burrough, 1986, p. 6). As an important part of e-government, is that it has functions of cartography, manages spatial data and spatial analysis.


1992 ◽  
Vol 7 (3) ◽  
pp. 215-249 ◽  
Author(s):  
V. Mital

AbstractThe financial domain has seen considerable knowledge Systems activity. Some of the efforts have resulted in deployable Systems, but many others have met with much less success. Commentators have attempted to discern broad, universal indicators which explain or predict success. More recently, however, it has become clearer that a principal cause of the difficultes encountered is the incongruence between the real world task and the System architecture employed by developers. Proceeding from the latter perspective, this paper concerns itself with knowledge Systems for the provision of investment related financial advice. The various tasks involved are differentiated and correlated to the System architectures employed by developers. It is seen that while simple rulebased Systems suffice for some tasks, others indicate the need for techniques such as Case-Based Design.


2019 ◽  
Vol 3 (1) ◽  
pp. 13-22
Author(s):  
Bijan Bidabad ◽  
Behrouz Bidabad

This note discusses the existence of "complex probability" in the real world sensible problems. By defining a measure more general than the conventional definition of probability, the transition probability matrix of discrete Markov chain is broken to the periods shorter than a complete step of the transition. In this regard, the complex probability is implied.


Author(s):  
Matteo Casu ◽  
Luca Albergante

The notion of identity has been discussed extensively in the past. Leibniz was the first to present this notion in a logically coherent way, using a formulation generally recognized as “Leibniz's Law”. Although some authors criticized this formulation, Leibniz's Law is generally accepted as the definition of identity. This work interprets Leibniz's Law as a limit notion: perfectly reasonable in a <i>God's eye</i> view of reality, but very difficult to use in the real world because of the limitedness of finite agents. To illustrate our approach we use “description logics” to describe the properties of objects, and present an approach to relativize Leibniz's Law. This relativization is further developed in a semantic web context, where the utility of our approach is suggested.


2004 ◽  
Vol 46 (1) ◽  
pp. 7-10 ◽  
Author(s):  
Reva Brown ◽  
Sean McCartney

All too often discussion of Capability proceeds as if it is clear what ‘Capability’ is: and that all that is required is the ascertaining of means for developing it. This paper seeks to explore the meanings of Capability. It provides two broad meanings, and discusses the paradoxes inherent in the application of these to the real world of management and business. On the one hand, Capability is defined as Potential, what the individual could achieve. Potential is an endowment, which is realised by the acquisition of skills and knowledge, i.e. the acquisition of Content. On the other hand, Capability is defined as Content: what the individual can (or has learned to) do. This Content has been acquired by, or input into, the individual, who then has the Potential to develop further. So there are different routes to Capability, depending on the definition of Capability one chooses. All of this impinges on the development of Capability. This leads us on to a consideration of whether the ‘Development of Capability’ is a meaningful concept.


Author(s):  
Yutaka Higashiguchi

 AR seems to be one of the most advanced and near-future technologies that produce new experiences and values that have never been before. However, both AR and art have a common means of engaging the senses. Thus, the problem of where the borderline between AR and art exists should come into question. In order to consider how AR will have an influence on the definition and the significance of art, this study analyses real and fictional elements in AR and art. AR requires the physical field where sensory information mediated by computer is projected. Consequently, viewers perceive the mixed image of real things and those not existing before eyes, that is fiction. Art also needs a real environment where the fictional world is opened. Though art and AR have something in common, there are crucial differences between them. AR technologies include the firm aim of erasing fictional elements that remain as ever in spite of their accurate representation. On the other hand, art attempts to preserve a fictional area within the real world. From the comparison of AR and art, it will come to light that whether there is the frame or not plays an important role in deciding what is art or what is reality. While AR reduces fictionality from a multi-layered scene to enrich a real experience, art cuts fiction from a present scene to idealize the real world. In this way, they constitute a dialectical circle and mediate new reality through fictional images from the reverse direction. Article received: April 5, 2019; Article accepted: July 6, 2019; Published online: October 15, 2019; Review articleHow to cite this article: Higashiguchi, Yutaka. "Can AR Technologies Have an Impact on the Definition of Art?" AM Journal of Art and Media Studies 20 (2019): 97-103. doi: 10.25038/am.v0i20.331


Due to the superfluous growth of IoT devices in the current digital world, where lots of devices are becoming smart by being able to connect internet with many smart features, IoT devices have become the main target of cyber-attacks for the hackers these days. Since the IoT devices are very light in terms of processing power and memory, it has become an easy target for hackers to intrude in to the network easily. The file-less attacks, that usually doesn’t require any files to be downloaded and installed gets bypassed by anti-malwares. Very less effort has been put to learn the characteristics of attack patterns in IoT devices to do the research and development efforts to defend against them. This paper deep dives to understand the attacks on IoT devices in the network. HoneyNetCloud has been made with four hardware honeypots and hundred software honeypots setup that are meant to attract wide variety of attacks from the real world. Huge range of data was recorded for the span of 12 months. This study leads to multifold insights towards developing the IoT Network Forensics Methodology.


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