Titlebook: Researching Cybercrimes; Methodologies, Ethic Anita Lavorgna,Thomas J. Holt Textbook 2021 The Editor(s) (if applicable) and The Author(s),

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抱狗不敢前

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大炮

The Challenges of Empirically Comparing Cybercriminals and Traditional Offendersure tends to focus only on cybercrime and usually does not empirically compare cybercriminals with traditional criminals. However, such a comparison enables an empirical evaluation on the extent to which traditional criminological theories and concepts are equally important in explaining cybercrime.

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Using Digital Open Source and Crowdsourced Data in Studies of Deviance and Crime is provided by users’ activities, often mundane tasks, like making purchases, engaging in exercise routines, and consuming streaming content. In some cases, these tasks are leveraged by criminal actors; in others, these tasks include criminal activities. Using data to explore patterns of offending

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Developing Open-Source Databases from Online Sources to Study Online and Offline Phenomenagrowing popularity of open-source databases, relatively little research has assessed the process of database development, measured the reliability and validity of the end products, or attempted to introduce standardized guidelines for open-source data collection. This chapter aims to address these g

faultfinder

Too Much Data? Opportunities and Challenges of Large Datasets and Cybercrimenow have records of discussions held between cybercrime offenders going back 20?years. Indeed, given we now have over 70 million posts by almost two million users, we are encountering a different type of problem: we have too much data. Although the datasets potentially allow us to answer questions w

對(duì)手

Use of Artificial Intelligence to Support Cybercrime Researchter discusses the trend for criminology researchers to use artificial intelligence (AI) algorithms for relevance pre-filtering and quantitative analysis of content at scales larger than can be achieved working manually. Algorithms can be used as black box AI tools, or integrated into socio-technical

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Honeypots for Cybercrime Researchularized throughout the 1990s by computer scientists due to their multi-functional capabilities. As a result, a wide variety of honeypots have been introduced to handle different cybersecurity tasks. Only recently have social scientists begun using them in cybercrime research to test criminological