In Plaintext

Author(s):  
Shalin Hai-Jew

People have long gone online to groom their online identities, to communicate some aspects of themselves in the real. The information shared is purposive and strategic. Inevitably, the information is selective and incomplete. The cyber may evoke something about the physical only to a degree, in the cyber-physical confluence. In an asymmetrical information environment, those who have the most accurate and requisite information often have the advantage. It is said that much of intelligence is conducted using Open-Source Intelligence (OSINT), which suggests a need for reading between the lines of publicly released information; indeed, much of life is conducted in online public spaces. A number of tools enable the extraction and analysis of information from public sites. When used in combination, these tools may create a fairly clear sense of the online presences of various individuals or organizations or networks online for increased transparency. This chapter describes some of the tools (Maltego Radium™ and Network Overview, Discovery, and Exploration for Excel/NodeXL™) that may be used to increase the knowability of others in the creation of various profiles. This includes some light applications of “inference attacks” based on publicly available information. Further information may be captured from the Hidden Web through tools designed to crawl that understructure, and this potential is addressed a little as well.

The Dark Web ◽  
2018 ◽  
pp. 255-289
Author(s):  
Shalin Hai-Jew

People have long gone online to groom their online identities, to communicate some aspects of themselves in the real. The information shared is purposive and strategic. Inevitably, the information is selective and incomplete. The cyber may evoke something about the physical only to a degree, in the cyber-physical confluence. In an asymmetrical information environment, those who have the most accurate and requisite information often have the advantage. It is said that much of intelligence is conducted using Open-Source Intelligence (OSINT), which suggests a need for reading between the lines of publicly released information; indeed, much of life is conducted in online public spaces. A number of tools enable the extraction and analysis of information from public sites. When used in combination, these tools may create a fairly clear sense of the online presences of various individuals or organizations or networks online for increased transparency. This chapter describes some of the tools (Maltego Radium™ and Network Overview, Discovery, and Exploration for Excel/NodeXL™) that may be used to increase the knowability of others in the creation of various profiles. This includes some light applications of “inference attacks” based on publicly available information. Further information may be captured from the Hidden Web through tools designed to crawl that understructure, and this potential is addressed a little as well.


Author(s):  
Isabelle Böhm ◽  
Samuel Lolagar

AbstractOpen Source Intelligence (OSINT) has gained importance in more fields of application than just in intelligence agencies. This paper provides an overview of the fundamental methods used to conduct OSINT investigations and presents different use cases where OSINT techniques are applied. Different models of the information cycle applied to OSINT are addressed. Additionally, the terms data, information, and intelligence are explained and correlated with the intelligence cycle. A classification system for entities during OSINT investigations is introduced. By presenting the capabilities of modern search engines, techniques for research within social networks and for penetration tests, the fundamental methods used for information gathering are explained. Furthermore, possible countermeasures to protect one’s privacy against the misuse of openly available information as well as the legal environment in Germany, and the ethical perspective are discussed.


Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 952
Author(s):  
Lia Duarte ◽  
Ana Cláudia Teodoro ◽  
Joaquim J. Sousa ◽  
Luís Pádua

In a precision agriculture context, the amount of geospatial data available can be difficult to interpret in order to understand the crop variability within a given terrain parcel, raising the need for specific tools for data processing and analysis. This is the case for data acquired from Unmanned Aerial Vehicles (UAV), in which the high spatial resolution along with data from several spectral wavelengths makes data interpretation a complex process regarding vegetation monitoring. Vegetation Indices (VIs) are usually computed, helping in the vegetation monitoring process. However, a crop plot is generally composed of several non-crop elements, which can bias the data analysis and interpretation. By discarding non-crop data, it is possible to compute the vigour distribution for a specific crop within the area under analysis. This article presents QVigourMaps, a new open source application developed to generate useful outputs for precision agriculture purposes. The application was developed in the form of a QGIS plugin, allowing the creation of vigour maps, vegetation distribution maps and prescription maps based on the combination of different VIs and height information. Multi-temporal data from a vineyard plot and a maize field were used as case studies in order to demonstrate the potential and effectiveness of the QVigourMaps tool. The presented application can contribute to making the right management decisions by providing indicators of crop variability, and the outcomes can be used in the field to apply site-specific treatments according to the levels of vigour.


2017 ◽  
Vol 108 (1) ◽  
pp. 319-329 ◽  
Author(s):  
Vinit Ravishankar

AbstractIn this paper, we describe the creation of an open-source, finite-state based system for back-transliteration of Latin text in the Indian language Marathi. We outline the advantages of our system and compare it to other existing systems, evaluate its recall, and evaluate the coverage of an open-source morphological analyser on our back-transliterated corpus.


2021 ◽  
Vol n° 1 (1) ◽  
pp. 8-12
Author(s):  
Olivier Le Deuff ◽  
Rayya Roumanos

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