scholarly journals HYBINT: A Hybrid Intelligence System for Critical Infrastructures Protection

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Javier Hingant ◽  
Marcelo Zambrano ◽  
Francisco J. Pérez ◽  
Israel Pérez ◽  
Manuel Esteve
Keyword(s):  
Physical Environment ◽  
Situational Awareness ◽  
Physical World ◽  
Critical Infrastructures ◽  
Security Vulnerabilities ◽  
Intelligence System ◽  
Hybrid Intelligence ◽  
Cross Platform ◽  
Representation Techniques ◽  
Significant Data

Cyberattacks, which consist of exploiting security vulnerabilities of computer networks and systems for any kind of malicious purpose (e.g., extortion, data steal, assets hijacking), have been continuously increasing worldwide in recent years. Cyberspace appears today as a new battlefield, along with physical world scenarios (land, sea, air, and space), for the organizations defence and security. Besides, by the fact that attacks from the physical world may have significant implications in the cyber world and vice versa, these dimensions cannot be understood independently. However, the most common intelligence systems offer an insufficient situational awareness exclusively focused on one of these decision spaces. This article introduces HYBINT, an enhanced intelligence system that provides the necessary decision-making support for an efficient critical infrastructures protection by combining the real-time situation of the physical and cyber domains in a single visualization space. HYBINT is a real cross-platform solution which supplies, through Big Data analytical methods and advanced representation techniques, hybrid intelligence information from significant data of both physical and cyber data sources in order to bring an adequate hybrid situational awareness (HSA) of the cyber-physical environment. The proposal will be validated in a detailed scenario in which HYBINT system will be evaluated.

The Measuring Process

2018 ◽  
Author(s):  
John von Neumann
Keyword(s):  
Physical Process ◽  
Physical Environment ◽  
Physical World ◽  
Subjective Perception ◽  
Inner Life ◽  
Measuring Process ◽  
Ordinary Space ◽  
The Individual ◽  
Fundamental Requirement ◽  
Related Process

This chapter argues that, first, it is inherently correct that measurement or the related process of subjective perception is a new entity relative to the physical environment, and is not reducible to the latter. Indeed, subjective perception leads one into the intellectual inner life of the individual, which is extra-observational by its very nature, since it must be taken for granted by any conceivable observation or experiment. Nevertheless, it is a fundamental requirement of the scientific viewpoint—the so-called principle of psycho-physical parallelism—that it must be possible so to describe the extra-physical process of subjective perception as if it were in the reality of the physical world; i.e., to assign to its parts equivalent physical processes in the objective environment, in ordinary space.

scholarly journals Fusing Race: The Phobogenics of Racializing Surveillance

2020 ◽  
Vol 18 (1) ◽  
pp. 12-29
Author(s):  
Marnie Ritchie
Keyword(s):  
Homeland Security ◽  
Situational Awareness ◽  
Passive State ◽  
Fusion Center ◽  
Security Strategy ◽  
Fusion Centers ◽  
Intelligence System ◽  
Critical Scholarship ◽  
National Security Strategy ◽  
State Surveillance

This paper sets up a framework to assess how purportedly passive state surveillance comprises an infrastructure of active racialization. Frantz Fanon’s concept of “racial phobogenics,” or the process of making a raced body into an object of anxiety, can be useful for scholarship at the intersection of communication, race, data, security, policing, affect, and biopolitics. To read how local state surveillance justifies the aggregation of data by means of phobogenics, I analyzed 120 hours of field observations and conducted fourteen interviews from June 2017 to March 2018 in one US Homeland Security Fusion Center, part of the integrated intelligence system and national security strategy after 9/11. I argue that Fusion Centers’ use of “situational awareness,” the trained ability to know what is deemed “suspicious” in everyday life, fuses race or taxonomizes what is out of place and what is inflammatory according to nonconscious racializing affects. I therefore urge for a critical scholarship that attends to “prelogical rationality and affectivity” (Fanon 1986: 133) as exercises of power.

scholarly journals Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World

2013 ◽  
Vol 1 ◽  
pp. 193-206 ◽  
Author(s):  
Jayant Krishnamurthy ◽  
Thomas Kollar
Keyword(s):  
Language Acquisition ◽  
Natural Language ◽  
Physical Environment ◽  
Question Answering ◽  
Scene Understanding ◽  
Physical World ◽  
Training Procedure ◽  
Supervised Training ◽  
Weakly Supervised ◽  
Logical Semantics

This paper introduces Logical Semantics with Perception (LSP), a model for grounded language acquisition that learns to map natural language statements to their referents in a physical environment. For example, given an image, LSP can map the statement “blue mug on the table” to the set of image segments showing blue mugs on tables. LSP learns physical representations for both categorical (“blue,” “mug”) and relational (“on”) language, and also learns to compose these representations to produce the referents of entire statements. We further introduce a weakly supervised training procedure that estimates LSP’s parameters using annotated referents for entire statements, without annotated referents for individual words or the parse structure of the statement. We perform experiments on two applications: scene understanding and geographical question answering. We find that LSP outperforms existing, less expressive models that cannot represent relational language. We further find that weakly supervised training is competitive with fully supervised training while requiring significantly less annotation effort.

On Ambient Information Systems

2010 ◽  
pp. 145-155
Author(s):  
William R. Hazlewood ◽  
Lorcan Coyle
Keyword(s):  
Information Systems ◽  
Web 2.0 ◽  
Physical Environment ◽  
Information Overload ◽  
Signal To Noise Ratio ◽  
Physical World ◽  
Research Community ◽  
Future Research ◽  
The Internet ◽  
Signal To Noise

The rise of the Internet, the ever increasing ubiquity of data, and its low signal-to-noise ratio have contributed to the problem of information overload, whereby individuals have access to more data than they can assimilate into meaningful and actionable information. Much of the success of Web 2.0 has been achieved after an effective tackling of this problem. Ambient Information Systems take the battle into the physical world by integrating information into the physical environment in a non-intimidating and non-overloading fashion. After two international workshops on Ambient Information Systems, we outline our vision for the field, consolidate a new definition, identify the key concerns of the research community, and issue a call to arms for future research.

scholarly journals TagHunt: Uma plataforma Combinando a Internet das Coisas com Scavenger Hunt Games

2015 ◽  
Author(s):  
Kiev Gama ◽  
Rafael Wanderley ◽  
Daniel Maranhão ◽  
Vinicius Garcia
Keyword(s):  
Internet Of Things ◽  
Physical Environment ◽  
Physical World ◽  
The Internet ◽  
Qr Code ◽  
Ordinary Objects ◽  
Physical Environments ◽  
Heterogeneous Objects ◽  
The Internet Of Things

The “Internet of Things” (IoT) brings the notion of heterogeneous objects using ubiquitous technologies to interact among them and with the physical environment through technologies such as Bluetooth, ZigBee, GPRS, NFC, QR code, among others. Based on the possibility of linking ordinary objects from the physical world to the Internet, this paper proposes and details a platform called TagHunt, for creating and playing scavenger hunt games. This platform leverages on smartphones’ capability to interact with ordinary objects using IoT-based technologies such as NFC and QR Code, stimulating the player to interact with physical environments looking for “clues” in the game.

scholarly journals Data Fusion through Fuzzy-Bayesian Networks for Belief Generation in Cognitive Agents

2019 ◽  
Vol 26 (2) ◽  
pp. 69-80
Author(s):  
Munyque Mittelmann ◽  
Jerusa Marchi ◽  
Aldo Von Wangenheim
Keyword(s):  
Data Fusion ◽  
Situation Awareness ◽  
Situational Awareness ◽  
Physical World ◽  
Autonomous Agent ◽  
Environmental Aspects ◽  
Sensory Data ◽  
Multiple Sensors ◽  
Physical Sensors ◽  
Different Types

Situation Awareness provides a theory for agents decision making to allow perception and comprehension of his environment. However, the transformation of the sensory stimulus in beliefs to favor the BDI reasoning cycle is still an unexplored subject. Autonomous agent projects often require the use of multiple sensors to capture environmental aspects. The natural variability of the physical world and the imprecision contained in linguistic concepts used by humans mean that sensory data contain different types of uncertainty in their measurements. Thus, to obtain the Situational Awareness for Agents with physical sensors, it is necessary to define a data fusion process to perform uncertainty treatment. This paper presents a model to beliefs generation using fuzzy-bayesian inference. An example in robotics navigation and location is used to illustrate the proposal.

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