Research on electronic evidence collection in the investigation of duty crime based on big data

2021 ◽  
Author(s):  
Jiahang Wang
2011 ◽  
Vol 268-270 ◽  
pp. 1792-1796
Author(s):  
Jing Du ◽  
Hua Huang

In the era of computer networks, digital, network, information, with the rapid development of high technology has also brought many problems. Widespread use of network, the network increasing proportion of the population, and uneven quality of the network, network become a new type of criminal tools, criminal place. Crime prevention network, has become the computer field, the legal profession must face one of the topics. And how to resist the various modus operandi, how to do in the case of the detection process did not miss any clues, it became a breakthrough in fight against computer crime areas. This paper[1] firstly outlines the theory of electronic evidence, feature analysis, which describes computer crime / network crime cases in the exploration of electronic evidence collection, extraction and analysis. [1] This work is partially supported by the Opening Project of Key Lab of Information Networks Security of Ministry of Public Security(C09608)


ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  

Find Out About 'Big Data' to Track Outcomes


2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org


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