• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.223-226
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• 2010

iPhone and Smart Phone domestic markets are activated with domestic coming out of galaxy S together and the users are increasing. It follows hereupon and with forensic techniques for the cellular phone relation criminal evidence collection of data of existing the mobile forensic engineering research is necessary in about Smart Phone where it has become new techniques and WiFi etc. Convergence. It respects Smart Phone OS star forensic technique and a tool research, iPhone Apple MAC OS X and it researches galaxy S Google Android from the present paper. Smart it uses SYN methods with Phone OS star forensic techniques and it researches in order mobile forensic description below it observes it sees and forensic application methods computer forensic methods and the tools and it researches forensic techniques. The present paper research as IT powerful country will contribute in Smart Phone forensic technical advances of Korea.

• Journal of Korea Multimedia Society
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• v.24 no.4
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• pp.558-568
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• 2021

The digital image to be accepted as legal evidence, it is important to verify the authentication of the digital image. This study proposes a method of authenticating digital images through three steps of comparing the file structure of digital images taken with iPhone, analyzing the encoding information as well as media logs of the iPhone storing the digital images. For the experiment, digital image samples were acquired from nine iPhones through a camera application built into the iPhone. And the characteristics of file structure and media log were compared between digital images generated on the iPhone and digital images edited through a variety of image editing tools. As a result of examining those registered during the digital image creation process, it was confirmed that differences from the original characteristics occurred in file structure and media logs when manipulating digital images on the iPhone, and digital images take with the iPhone. In this way, it shows that it can prove its forensic authentication in iPhone.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.235-239
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• 2010

Use of mobile phones reached saturation point, the recent use of the iPhone, including the Smart Phone is increasing rapidly. How to extract forensic data from current mobile phones and SYN, JTAG, Revolving There are three ways. Mobile phone and Smart Phone, but the technology and how to use forensic data because of the difference must have different extraction methods. In this paper, in the Smart Phone will study how to extract forensic data. Commonly used in the Google Android Smart Phone and Windows Mobile Smart Phone OS in the specification and analysis for analysis, the data analysis. Also, Google Android and Windows Mobile Smart Phone to extract forensic data to generate evidence. The present study tested the Mobile Smart Phone technology research will contribute to the development of forensic techniques.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.7
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• pp.173-180
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• 2016

Since smartphones possess a variety of user information, we can derive useful data related to the case from app data analysis in the digital forensic perspective. However, it requires an appropriate forensic measure as smartphone has the property of high mobility and high possibility of data loss, forgery, and modulation. Especially the forged/modulated time-stamp impairs the credibility of digital proof and results in the perplexity during the timeline analysis. This paper provides traces of usage which could investigate whether the time-stamp has been forged/modulated or not within the range of iOS based devices.

• The KIPS Transactions:PartC
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• v.18C no.4
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• pp.217-226
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• 2011

As a diverse range of smartphones has been recently developed and diffused, the users of SNS (Social Network Service) also have been sharply increased. The SNS saves a variety of information such as exchanged pictures and videos, voice mails or location sharing, chat history, etc. as well as simple user data, so that the acquisition of data that are useful in the aspect of digital forensic is achievable. This thesis reviews the types of SNS that are available for the iPhone, a recent example of highly used smartphones, and types of data by each client. Also, efficient data analysis method for digital forensic investigations is suggested by analyzing the relationships within the collected data by each client.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.323-331
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• 2013

There are three ways how to extract forensic evidence from mobile phone, such as SYN, JTAG, Revolving. However, it should be a different way to extract forensic evidence due to the differences of their usage and technology between them(mobile phone and smart phone). Therefore, in this paper, I will come up with extraction method that forensics evidence by search and seizure of a smart phone. This study aims to analyze specifications and O.S., backup analysis, evidence in smart to analyze for search and seizure of a smart phone commonly used google android and windows mobile smart phone. This study also aim to extract forensics evidence related to google android and phone book, SMS, photos, video of window mobile smart phone to make legal evidence and forensics report. It is expected that this study on smart phone forensics technology will contribute to developing mobile forensics technology.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.207-210
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• 2014

Damage is increasing by (Smishing) hacking attack Smishing you use a smart phone after entering 2013. Takeover of personal information and direct financial damage in collaboration with graphics sewing machine hacking attack has occurred. Monetary damage that leads to Internet payment service (ISP) and secure payment system in conjunction with graphics sewing machine hacking attack on a smartphone has occurred. In this paper, I will study analysis in the laboratory examples of actual infringement vinegar sewing machine hacking attack. It is a major power security measures to prevent damage to the secure payment system that a case analysis and practical principle technical nest sewing machine hacking attack, using Smishing. In this paper, I will be to research to be able to through a smart phone, to the online payment safer and more convenient.

• Journal of Advanced Navigation Technology
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• v.15 no.5
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• pp.887-892
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• 2011

Recently iPad has been released, so users interest in new portable device is increasing. As markets grow, experts are forecasting a increase of investigation about tablet PC. However iPad forensics is very difficult using existing smart phone forensic softwares. especially, those softwares can't analyze korean mobile application. This paper describes collecting/analyzing technique for iPad.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.1
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• pp.53-59
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• 2012

As the Privacy Act is in force in Korea, the subject of protection responsibility is increased, and continuous efforts are made to protect privacy in overseas countries, as can be seen by standard drafts related to privacy protection. However, the reality is that a formal privacy manual or guidelines are insufficient to help cope with the rapid changes and privacy leak caused by TGIF(Twitter-Google-iPhone-Facebook) these days, and practical effects cannot be expected, even though measures are taken. This paper propose a standard format for satisfying the ISO/IEC 29101 "Privacy Reference Architecture" and shows an implementation example for equipping with forensic readiness capturing indications of the incident rapidly and coming up with an effective counter measure when privacy information is disclosed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.1
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• pp.167-175
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• 2011

As recent emergence of smart phones, mobile services are growing in various forms. Many companies released smart phones of various operating systems such as Window Mobile, Android and iOS. Currently, most popular smart phone operating systems are Android and iOS. Due to the various features of these smart phone, they can be employed to various crimes. From the point of view of digital forensics, this paper analyzes the evidence data which needs to be collected in the smart phone, and implements the evidence analysis tool. By using this tool, it can reduce the time and effort for collecting and analyzing the evidence of the smart phone.