Crime prevention is the attempt to reduce and deter crime and criminals. It is applied specifically to efforts made by governments to reduce crime, enforce the law, and maintain criminal justice.
Criminologists such as Gottfredson, McKenzie, Eck, Farrington, Sherman, Waller and others have been at the forefront of analyzing what works to prevent crime. Prestigious commissions and research bodies, such as the World Health Organization, United Nations, the United States National Research Council, the UK Audit Commission and so on, have analyzed their and others’ research on what lowers rates of interpersonal crime. They agree that governments must go beyond law enforcement and criminal justice to tackle the risk factors that cause crime because it is more cost effective and leads to greater social benefits than the standard ways of responding to crime. Interestingly, multiple opinion polls also confirm public support for investment in prevention. Waller uses these materials in Less Law, More Order to propose specific measures to reduce crime as well as a crime bill.
Some of the highlights of these authorities are set out below with some sources for further reading. The World Health Organization Guide (2004) complements the World Report on Violence and Health (2002) and the 2003 World Health Assembly Resolution 56-24 for governments to implement nine recommendations, which were:
(i) Create, implement and monitor a national action plan for violence prevention.
(ii) Enhance capacity for collecting data on violence.
(iii) Define priorities for, and support research on, the causes, consequences, costs and prevention of violence.
(iv) Promote primary prevention responses.
(v) Strengthen responses for victims of violence.
(vi) Integrate violence prevention into social and educational policies, and thereby promote gender and social equality.
(vii) Increase collaboration and exchange of information on violence prevention.
(viii) Promote and monitor adherence to international treaties, laws and other mechanisms to protect human rights.
(ix) Seek practical, internationally agreed responses to the global drugs and global arms trade.
The authoritative commissions agree on the Role of Municipalities, because they are best able to organize the strategies to tackle the risk factors that cause crime. The European Forum for Urban Safety and the United States Conference of Mayors have stressed that municipalities must target the programs to meet the needs of youth at risk and women who are vulnerable to violence. To succeed, they need to establish a coalition of key agencies such as schools, job creation, social services, housing and law enforcement around a diagnosis.
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Several factors must come together for a crime to occur:
(i) an individual or group must have the desire or motivation to participate in a banned or prohibited behavior;
(ii) at least some of the participants must have the skills and tools needed to commit the crime; and,
(iii) an opportunity must be acted upon.
Primary prevention address individual and family level factors correlated with later criminal participation. Individual level factors such as attachment to school and involvement in pro-social activities decrease the probability of criminal involvement. Family level factors such as consistent parenting skills similarly reduce individual level risk. Risk factors are additive in nature. The greater the number of risk factors present the greater the risk of criminal involvement. In addition there are initiatives which seek to alter rates of crime at the community or aggregate level. Secondary prevention uses techniques focusing on at risk situations, especially focusing on youth who drop out of school or get involved in gangs. It targets social programs and law enforcement at neighborhoods where crime rates are high. The use of secondary crime prevention in cities such as Birmingham and Bogotá have achieved large reductions in crime and violence. Programs that are focused on youth who are at risk have been shown to significantly reduce crime. Tertiary prevention is used after a crime has occurred in order to prevent successive incidents. Such measures can be seen in the implementation of new security policies following acts of terrorism such as the September 11, 2001 attacks. Situational crime prevention uses techniques focusing on reducing on the opportunity to commit a crime. Some of techniques include increasing the difficulty of crime, increasing the risk of crime, and reducing the rewards of crime.
3. Situational Crime Prevention
Situational crime prevention (SCP) is a relatively new concept that employs a preventative approach by focussing on methods to reduce the opportunities for crime. SCP focuses on the criminal setting and is different from most criminology as it begins with an examination of the circumstances that allow particular types of crime. By gaining an understanding of these circumstances, mechanisms are then introduced to change the relevant environments with the aim of reducing the opportunities for particular crimes. Thus, SCP focuses on crime prevention rather than the punishment or detection of criminals and its intention is to make criminal activities less appealing to offenders.
SCP focuses on opportunity-reducing processes that:
(i) Are aimed at particular forms of crime;
(ii) Entail the management, creation or manipulation of the immediate environment in as organised and permanent a manner as possible; and
(iii) Result in crime being more difficult and risky or less rewarding and justifiable.
The theory behind SCP concentrates on the creation of safety mechanisms that assist in protecting people by making criminals feel they may be unable to commit crimes or would be in a situation where they may be caught or detected, which will result in them being unwilling to commit crimes where such mechanisms are in place. The logic behind this is based on the concept of rational choice that every criminal will assess the situation of a potential crime, weigh up how much they may gain, balance it against how much they may lose and the probability of failing, and then act accordingly.
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4. Applying SCP to Information Systems (IS)
Situational Crime Prevention (SCP) in general attempts to move away from the “dispositional” theories of crime commission i.e. the influence of psychosocial factors and/or genetic makeup of the criminal, and to focus on those environmental/situational factors that can potentially influence criminal conduct. Hence rather than focus on the criminal, SCP focuses on the circumstances that lend themselves to crime commission. Understanding these circumstances leads to the introduction of measures that alter the environmental factors with the aim of reducing opportunities for criminal behavior. Other aspects of SCP include: a) targeting specific forms of crime e.g. cybercrime b) aiming to increase the effort and potential risks of crime c) reducing provocative phenomena
Another aspect of SCP that is more applicable to the cyber environment is the principle of safeguarding. The introduction of these safeguards is designed to influence the potential offender’s view of the risks and benefits of committing the crime. A criminal act is usually performed if the offender decides that there is little or no risk attached to the act. One of the goals of SCP is to implement safeguards to the point where the potential offender views the act unfavourably. For example, if a driver approaches a traffic junction where there are speed cameras, he/she evaluates that there is a nearly 100% chance of being caught trying to run a red light, and hence slows down. The use of crime “scripts” has been touted as a method of administering safeguards. Scripts were originally developed in the field of cognitive science and focus on the behavioural processes involved in rational goal-oriented behaviour. Hence scripts have been proposed as tool for examining criminal behaviour. In particular the use of what is termed a “universal script” has been advanced for correctly identifying all the stages in the commission process of a crime.
(ii) Application to Cybercrimes
It has been suggested that cybercriminals be assessed in terms of their criminal attributes, which include skills, knowledge, resources, access and motives (SKRAM). Cybercriminals usually have a high degree of these attributes and this is why SCP may prove more useful than traditional approaches to crime. Clarke proposed a table of twenty-five techniques of Situational Crime Prevention, but the five general headings are:
(a) Increasing the effort to commit the crime
(b) Increasing the risks of committing the crime
(c) Reducing the rewards of committing the crime
(d) Reducing any provocation for committing the crime
(e) Removing any excuses for committing the crime
These techniques can be specifically adapted to cybercrime as follows:
(i) Increasing the Effort
Reinforcing targets and restricting access the use of firewalls, encryption, card/password access to ID databases and banning hacker websites and magazines.
(ii) Increasing the Risk
Reinforcing authentication procedures background checks for employees with database access, tracking keystrokes of computer users, use of photo and thumb print for ID documents/credit cards, requiring additional ID for online purchases, use of cameras at ATMs and at point of sale.
(iii) Reducing the Rewards
Removing targets and disrupting cyber places monitoring Internet sites and incoming spam, harsh penalties for hacking, rapid notification of stolen/lost credit bankcards, avoiding ID numbers on all official documents.
(iv) Reducing provocation and excuses
Avoiding disputes and temptations- maintaining positive employee-management relations and increasing awareness of responsible use policy. It is important to note that many of these techniques do not require a considerable investment in hi-tech IT skills and knowledge. Rather, it is the effective utilization and training of existing personnel that is key. It has been suggested that the theory behind situational crime prevention may also be useful in improving information systems (IS) security by decreasing the rewards criminals may expect from a crime. SCP theory aims to affect the motivation of criminals by means of environmental and situational changes and is based on three elements:
(a) Increasing the perceived difficulty of crime;
(b) Increasing the risks; and
(c) Reducing the rewards.
5. Situational Crime Prevention and Fraud
In computer systems that have been developed to design out crime from the environment, one of the tactics used is risk assessment, where business transactions, clients and situations are monitored for any features that indicate a risk of criminal activity. Credit card fraud has been one of the most complex crimes worldwide in recent times and despite numerous prevention initiatives, it is clear that more needs to be done if the problem is to be solved. Fraud management comprises a whole range of activities, including early warning systems, signs and patterns of different types of fraud, profiles of users and their activities, security of computers and avoiding customer dissatisfaction. There are a number of issues that make the development of fraud management systems an extremely difficult and challenging task, including the huge volume of data involved; the requirement for fast and accurate fraud detection without inconveniencing business operations; the ongoing development of new fraud to evade existing techniques; and the risk of false alarms. Generally, fraud detection techniques fall into two categories: statistical techniques and artificial intelligence (AI) techniques.
Important statistical data analysis techniques to detect fraud include:
(i) Grouping and classification to determine patterns and associations among sets of data.
(ii) Matching algorithms to identify irregularities in the transactions of users compared to previous profiles.
(iii) Data pre-processing techniques for validation, correction of errors and estimating incorrect or missing data.
Important AI techniques for fraud management are:
(i) Data mining to categorise and group data and automatically identify associations and rules that may be indicative of remarkable patterns, including those connected to fraud.
(ii) Specialist systems to programme expertise for fraud detection in the shape of rules.
(iii) Pattern recognition to identify groups or patterns of behaviour either automatically or to match certain inputs.
(iv) Machine learning techniques to automatically detect the characteristics of fraud
(v) Neural networks that can learn suspicious patterns and later identify them.