Essay代写：Criminal network analysis－r51due

下面为大家整理一篇优秀的essay代写范文- Criminal network analysis，供大家参考学习，这篇论文讨论了犯罪网络分析。计算机网络的兴起给人们带来方便的同时，也促发了网络犯罪的发生。随着社会计算的产生，网络关系挖掘逐渐浮现在人们眼前。有关部门可以通过已知的相关新闻报道、电子物证等挖掘出犯罪团伙的大致信息，逐步形成现有的犯罪网络分析技术的雏形。犯罪网络分析基于社会网络分析，从获取的公开信息入手，对海量的数据进行深层次挖掘，从而得出犯罪网络的组织结构。

The rise of computer network brings convenience to people at the same time, also promote the occurrence of cybercrime. The emergence of large data social computing technology can give us an important method and basis for combating cyber crime, and how to use massive data to combat cybercrime becomes an important topic in the field of large data.

The rise of computer network has led to the continuous development of society, from Earth home to global village, people's distance with the advent of the network gradually shortened, forming a virtual world for people to interact and communicate. Since the incident, network space security has gradually aroused the attention of all circles of the world, and "human flesh search" appears, once again shook people's nerves, up to the government agencies, down to the people's groups, no one is not the virtual world of suspicion, is the benefit is the harm people disagree.

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In the people feel that cyberspace is still moving towards a better direction, a group of malicious elements have long been evil hands to the good people, from "Guess Who I Am" to "I am your leader to my office", telecom fraud pattern constantly renovated, let a person. Just as people racked their brains trying to deal with all sorts of telecoms scams, in the past, traditional criminal activities have been constantly on the network, network recruit prostitutes, online drug trafficking, internet casinos and other illegal criminal activities have been repeatedly banned, and such criminal activities belong to the people in the territory, the separation of foreign crime, We can do nothing about it.

With the emergence of social computing, network relationship mining is emerging in front of people. From Facebook to Twitter, the social network analysis method has been used to carry out further mining of its user groups, forming a unique community recommendation and other related functions. The application of these methods also provides the law enforcement agencies of the world with a new way to combat cyber crime, and the law enforcement agencies can excavate the general information of criminal gangs through known related news reports and electronic material evidence, and gradually form the embryonic forms of existing criminal network analysis techniques.

Criminal network analysis is based on the research of criminal organization structure, such as terrorist attacks, telecommunications network fraud, drug trafficking, etc., and theft and other single criminal activities, the criminal activities have a tight organization, and in the organization has a strict hierarchy, in terms of terrorist attacks, there are behind, weapons and equipment preparatory, The perpetrators of terrorist activities, the role of the track eraser and so on, and each link is closely linked, there is a dedicated team responsible, and these teams have their own leadership and subordinates, to ensure that the operation of the team and the smooth implementation of terrorist activities, because these small links lead to the fight against cybercrime increasingly difficult. Therefore, the criminal network analysis from the integration of various types of criminal activity information, found that the relevant criminal gangs organizational structure and the scale of crime, thus providing a strong guarantee for the fight against crime. According to reports, after the "event", the FBI has been through the community analysis and clustering to virtual construction of the basic structure of al-Qaida, trying to break through this structure of the terrorist organizations 0 understanding, but because the formation of the community lacks hierarchical relationship, is simply a cluster, So it just gets the staffing and size of the terrorist organization and does not have an in-depth understanding of its organizational structure.

In view of the past crime analysis work is through manual integration and analysis, time consuming force, and the accuracy rate is very low, for this reason abroad pioneered research such as encase, notebook and other analytical evidence tools to combat cybercrime. Although the emergence of these tools to a certain extent to curb cybercrime, but did not fundamentally solve the problem of cybercrime, palliative, how to quickly invent a powerful analysis tool is the most important.

American Psychologist Milgram has proposed a six-degree separation theory, this theory has successfully expounded the "weak link" effect between human beings, that is to say, every person and a stranger in society can only be met by six of people, and the effect of "weak bond" can not only play an important role in job-hunting and communication, It can also shorten the relationship between people.

It is based on the theory of six-degree segmentation that law enforcement departments from the social calculation, formally proposed criminal network analysis. Crime network analysis based on social network analysis, starting from the public information obtained, a deep excavation of massive data, so as to draw the organizational structure of criminal network. Similar to network interpersonal mining, criminal network analysis also has a corpus that conforms to its own system, as we can tell from the statement "Li Si is a character of XX criminal gang", DOE should be the main object of our analysis of this criminal gang, and we can predict that DOE will be the most weighted word in all the corpora, And will be a point of the center, so the organization of the criminal syndicate will be the highest point of continuous downward expansion to form a certain structural map. And so on, according to all kinds of data in our large database, from link mining, PageRank algorithm, combined with random walk model, finally through visualization technology can draw related criminal gang organization structure schematic diagram. The diagram generated by this model not only analyzes the relationship between the individual entities, but also analyses the hierarchical relationship, and constructs a model with a certain level of relationship.

Unlike the human cube proposed by Microsoft, the Crime network analysis not only highlights the relationship between the key figures and characters in the graphic display, but also calculates the intimacy in the criminal organization, that is, the role of the planner and the enforcer through the weight planning, provides the important basis for the law enforcement department to crack down and dismantle the criminal gangs. And according to the basic framework of the criminal network model, if the members of the criminal syndicate to be analyzed have a change, the user input this message to the segment database to be analyzed, then the model will modify the existing generated complete network structure according to the new section of the database. If the organizer of a criminal syndicate is killed or arrested by the police, the model then erases the person's name from the network structure based on the newly added segment in the database, and then analyzes the existing entity name weights according to existing data, predicts the next person who might become the leader of the organization, placing its name at the top of the network structure, form a new criminal network. According to the hierarchical structure of all kinds of organizations in today's society, both the company and the administrative organ have a pyramid-like rating, and the criminal network is the same, so the network generated by the model is based on the reality of the pyramid level, that is, from the top end of the number of people gradually increased.

In terms of today's criminal network analysis technology, there are still many deficiencies, such as can not be achieved through the weight of the person's name and photos of the one by one correspondence, even if the organization structure, if the crime cunning use of pseudonyms will lead to the weight of the disagreement, resulting in an organizational structure error, so that the case detection can not be further carried out. In the case of various criminal groups present in society, its interior is a certain alias or code to specify each person, not only facilitate the organization in series is also conducive to escape the police chase, so how to achieve the real name of each person, alias or code one by one correspondence is today's various types of criminal network analysis model needs to solve the key issues. Therefore, we will improve the extraction efficiency and achieve the corresponding relationship by comparing the mature systems in the extraction of the human entity relation, such as snowball system and fastus extraction system, combining the Rex Relation extraction framework.

By combining the above system, the framework of the Criminal network analysis technology requires a certain system structure, on this basis, we further optimize the corpus and test cases to ensure that the character entity and name one by one correspond to ensure data integrity and uniformity, thus forming a criminal network analysis model, and will gradually improve the model in the future.

This model is better than the previous hand-painted crime network, but because of the continuous development of human relations, the family has produced more contacts, the same name of the number of people have increased sharply, and the problem of the same names in all kinds of entity extraction technology is still difficult to solve. For this reason, the research Institute of Foreign Universities proposes a disambiguation technique based on the similarity of words, which designs a large corpus by statistical law, and then detects the similarity between the corpora and the corpus, according to the entity names obtained by the entity extraction, And judging by the threshold value set by the experimental results, if the similarity is higher than the threshold, it is attributed to the semantics similar to the corpus, if the difference is larger, it is compared with the corpus of the next similarity, until the corpus with the similarity is higher than the threshold value, and the corresponding semantics are obtained.

With the situation of international environment and the improvement of large data technology, the analysis of crime network will be used as an important means to combat cyber crime in today's society, which should be applied to all kinds of law enforcement departments, so as to improve the efficiency of combating illegal crime, and to improve social security and social stability.

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