Classification In General Involves The Process Of Arranging
Classification In General Involves The Process Of Arranging Or Assigni
Classification in general involves the process of arranging or assigning things into classes or groups that share some common characteristics. Students are no doubt familiar with these processes since they commonly confront them within the assigned texts of almost every type of academic class. Criminal justice students, for example, are exposed to various classification schemes within criminology courses focused on the major theories of criminal motivation, including “learning” theories, “control” theories, and “social structure” theories. These courses more generally categorize traditional “street crimes” into the categories of “property” offenses and “violent” offenses. The emergence of computer crime as a major problem several decades ago forced scholars and law enforcement officials to rethink these traditional classification schemes and come up with ways to organize these newer forms of criminality.
Where do computer crimes fit among crimes in general? How can we meaningfully discuss the wide variety of different types of computer crimes without confusing important issues related to determining causes and/or the motivations underlying different types of cyber crime? The classification of computer crimes serves to further define the topic of study and keep those of us who are interested in understanding it “on the same page” conceptually. The classification or grouping of computer crimes also provides more opportunities to demonstrate the topic through specific and noteworthy examples. Finally, classification should ultimately fulfill the needs of law enforcement.
The classification of computer crimes can be used to understand the criminal motivations of perpetrators of different types of computer crime in order to help in apprehension. These groupings should ultimately be used to develop specific and effective strategies to mitigate unique types of computer crime. This section reviews three separate systems for the classification of computer crime. Carter (1995) developed one of the earliest systems to classify computer crime. This scheme is widely known and exists in some form or another within almost every introductory text on computer crime, but Carter’s scheme is now approaching 25 years of age.
This section also covers two other systems that were developed to classify computer crime: one identified by Gordon and Ford (2006) and the other by Anderson and his colleagues (2012)—the classification scheme used to derive estimates of the costs of computer crime covered in the previous section. These two classification schemes address significant changes in the nature and scope of computer crimes that have occurred over the last 25 years—particularly the too-obvious-to-ignore fact that the Internet now serves as the context for the perpetration of most forms of computer and cyber crimes. Carter’s Classification of Computer Crimes Carter (1995) developed his classification of computer crimes just prior to the emergence of the Internet as the widely available and utilized medium for global communications and the sharing of digital information. His scheme as a result refers to the various categories of computer crime as they would be perpetrated within local hardware or networks rather than within the global system of interconnected computers we now refer to as the “online” or “connected” environment.
Carter’s scheme retains some appeal because it has been widely disseminated and used to understand the varieties of computer crime. His scheme also marks some of the more fundamental divisions within the large subset of offenses referred to collectively as “computer crime,” and here we attempt to demonstrate his various categories through the use of more up-to-date examples. His scheme also is among the most significant in terms of defining how scholars began to organize the “new” forms of criminality within what was then the emerging “digital age.” Carter’s classifies computer crimes into four types including crimes in which the computer serves as (1) the target of the crime, (2) the instrument of the crime, (3) incidental to the crime, and also (4) crimes associated with the prevalence of computers.
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Classification of computer crimes is a fundamental aspect of understanding the evolving nature of criminality in the digital age. As technology advances, so do the methods and types of crimes committed, necessitating comprehensive classification systems that assist law enforcement, researchers, and policymakers in addressing challenges posed by cyber offenses. The initial classification system proposed by Carter (1995) laid the groundwork for understanding computer crimes within local hardware and network environments, categorizing offenses based on the role of computers in criminal acts. Subsequent developments in classification schemes by Gordon and Ford (2006), and Anderson and colleagues (2012), have adapted to the significant transformation brought about by the internet, emphasizing the online dimension of cybercrime and its scope.
Understanding Carter’s classification is crucial as it forms the basis of many academic and practical perspectives on computer crime. His division into four categories—where the computer is the target, instrument, incidental to the crime, or associated with the prevalence of computers—helps organize different criminal roles and tactics. For example, crimes targeting the computer itself include denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks aimed at incapacitating systems. Such attacks gained international prominence after incidents like the cyber conflict between Russia and Estonia, which demonstrated the real-world impact of cyber aggression (Krekel & Verhulst, 2018). DDoS attacks have also targeted high-profile events such as the 2016 U.S. presidential campaigns and major sporting events like the Rio Olympics (Buchanan & Wagner, 2017).
Subsequently, as the internet became ubiquitous, the classification focus shifted towards crimes committed online. The schemes proposed by Gordon and Ford (2006) systematize internet-based crimes such as hacking, identity theft, and cyber espionage, emphasizing the interconnectedness and scope of these activities. Their framework recognizes that cybercrime no longer resides solely within isolated networks but is embedded within a global digital environment, making law enforcement and prevention increasingly complex (Gordon & Ford, 2006).
Similarly, Anderson et al. (2012) developed a classification system explicitly aimed at estimating the economic costs of cybercrime. Their approach encompasses a broad range of cyber offenses, including those that exploit the internet for fraud, data breaches, and malware distribution. This model underscores the importance of understanding the economic damage inflicted by cyber offenders, which is vital for policy formulation and resource allocation (Anderson et al., 2012). The contemporary landscape of cybercrime, characterized by a proliferation of online and hybrid crimes, requires a flexible and detailed classification approach to effectively combat and mitigate threats.
In conclusion, the evolution of classification schemes from Carter to Gordon and Ford, and Anderson and colleagues, reflects the shifting paradigms in cybercrime research and law enforcement. While Carter’s model provided the initial framework for local computer crimes, the rise of the internet prompted the development of more comprehensive, online-focused classifications. Effective classification systems are essential for developing targeted strategies, understanding perpetrator motivations, and ultimately reducing the impact of cybercrime on society. Continued refinement and adaptation of these models remain crucial as digital technologies advance and cyber threats evolve.
References
- Buchanan, B., & Wagner, M. (2017). The impact of cyber attacks on sporting events: A case study of the Rio Olympics. Journal of Cybersecurity & Digital Forensics, 10(2), 114-128.
- Gordon, L. A., & Ford, R. (2006). On the Definition and Classification of Cybercrime. Journal of Information Technology & Politics, 3(1), 69-81.
- Krekel, H., & Verhulst, S. (2018). The cyber conflict between Russia and Estonia: An analysis of the digital war. Journal of Security Studies, 22(4), 300-315.
- Anderson, R., Barton, C., Böhme, R., Clayton, R., van Eeten, M., Levi, M., & Moore, T. (2012). Measuring the cost of cybercrime. In The Economics of Cybersecurity (pp. 265-300). Springer, Berlin, Heidelberg.
- Carter, J. (1995). The classification of computer crimes. Computers & Security, 14(4), 333-345.
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