Research on Social Engineering in Network Security

2014 ◽  
Vol 989-994 ◽  
pp. 4881-4884 ◽  
Author(s):  
Gang Chen ◽  
Jun Yang ◽  
Jun Ping Cai

The social engineering techniques such as flattery, persuade, induce, disguise, threat, obedience and infiltration was summarized. The main methods and steps of social engineering research and the main six aspects contents such as social engineering technology analysis, social engineering case survey were also put forward. Finally, a model of social engineering attack based on complex network is built and some prevention methods aiming to social engineering attack were presented.

2020 ◽  
Vol XXIII (1) ◽  
pp. 263-270
Author(s):  
Radu Moinescu

Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust. In recent years, cybercriminals have done everything in their power to be innovative. They are taking advantage of every aspect of our lives to develop new social engineering schemes. This paper provides an in-depth survey about the social engineering attacks that took place in Romania in 2019, their classifications, detection strategies, and prevention procedures.


2018 ◽  
Vol 109 (2) ◽  
pp. 133-148 ◽  
Author(s):  
Francois Mouton ◽  
Alastair Nottingham ◽  
Louise Leenen ◽  
H.S Venter

Author(s):  
Tahir Abbas

This article situates the debate on the United Kingdom’s Prevent policy in the broader framework of the global paradigm for countering violent extremism (CVE), which appeared at the end of 2015. It argues that omission of a nuanced focus on the social, cultural, economic, and political characteristics of radicalised people has led to a tendency to introduce blanket measures which, inadvertently and indirectly, have had harmful results. Moreover, although Prevent has been the fundamental element of the British government’s counterterrorist strategy since 2006, it confuses legitimate political resistance of young British Muslims with signs of violent extremism, thus giving credence to the argument that Prevent is a form of social engineering which, in the last instance, pacifies resistance by reaffirming the status quo in the country’s domestic and foreign policy.


2016 ◽  
Vol 6 (4) ◽  
pp. 209-223

During the university course the future legal psychologists have to master a wide range of professional competencies, among them are those that can be classified as management, with an emphasis on project making competencies and their relationship with the project making professional culture. The article presents the results of students' self-evaluation competencies. This research was a part of the monitoring of learning outcomes in a number of disciplines in the Faculty of Legal Psychology, Moscow State University of Psychology and Education. The author raises the problem of defining the concepts of "project culture" and "psychological culture of project making", which still do not have a clear definition inspite of the intensive development of the socio-cultural, innovative and other forms of project making. For legal psychologists project making culture involves the acquisition of psychologically correct approaches to the development, evaluation, promotion and institutionalization of the ideas, so they can provide the solution of professional problems.


2021 ◽  
Vol 34 (01) ◽  
pp. 258-269
Author(s):  
Vyacheslav I. Karpunin ◽  
Tatiana S. Novashina

The systemic and functional analysis of economic nature of Crypto currency within the modern theory of money is a necessary essential component of the study that allowed the authors to formulate a vision of social and economic model of future international monetary system. The authors consider the substance of money in a dialectic unity of the transformation of forms and spheres of its being. The forms of being of money are: material, monetary, paper, electronic. The spheres of being of money are: social, - the "symbol money"; economic, - the "bank notes"; political and legal, - "monetary units". In this paper we show that money is a financial instrument. Money is a market form of universal claim to a share in the wealth of society. The uncovering of internal intrinsic structure of money allows the authors to show convincingly that a currency, especially a "Crypto currency", cannot have and does not have an "economic nature". In considering the process of historical transformation of international monetary systems, taking into account the real achievements of financial, information, program and social engineering for the creation of a digital "gold" the authors believe that the social and economic model of future international monetary system has received its real approbation.


2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Huazhang Liu

With the rapid development of the Internet, social networks have shown an unprecedented development trend among college students. Closer social activities among college students have led to the emergence of college students with new social characteristics. The traditional method of college students’ group classification can no longer meet the current demand. Therefore, this paper proposes a social network link prediction method-combination algorithm, which combines neighbor information and a random block. By mining the social networks of college students’ group relationships, the classification of college students’ groups can be realized. Firstly, on the basis of complex network theory, the essential relationship of college student groups under a complex network is analyzed. Secondly, a new combination algorithm is proposed by using the simplest linear combination method to combine the proximity link prediction based on neighbor information and the likelihood analysis link prediction based on a random block. Finally, the proposed combination algorithm is verified by using the social data of college students’ networks. Experimental results show that, compared with the traditional link prediction algorithm, the proposed combination algorithm can effectively dig out the group characteristics of social networks and improve the accuracy of college students’ association classification.


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