• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.327-337
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• 2004

The soaring increase in the number of Internet users combined with the constant computerization of business process has created new opportunities for computer criminals and terrorist. Fortunately, the computer security field is also progressing at a brisk rate. In particular, the field of computer forensics brings new ways of preserving and analyzing evidence related to computer crime. Computer forensics is a new emerging professions of the 21st century. It is the collection, preservation, analysis, and presentation of computer related evidence. For this reason, the various technology of computer forensics is regarded as a powerful tool for suppressing computer crime. Our aims is to introduce the overview of computer forensics technology. We also present the survey results of the state of the art of computer forensics in the domestics and of foreign country.

• KSCI Review
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• v.14 no.2
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• pp.225-234
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• 2006

Computer Forensics functions by defending the effects and extracting the evidence of the side effects for production at the court. Has the faultlessness of the digital evidence been compromised during the investigation, a critical evidence may be denied or not even be presented at the trial. The presented monograph will deliberate the faultlessness-establishing chain procedures in disk forensics. system forensics, network forensics, mobile forensics and database forensics. Once the faultlessness is established by the methods proposed, the products of investigation will be adopted as a leading evidence. Moreover, the issues and alternatives in the reality of digital investigation are presented along with the actual computer forensics cases, hopefully contributing to the advances in computer digital forensics and the field research of information security.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.257-265
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• 2021

Home networking and its security issues are directly related. Previous studies have shown that home-network and understanding the security of it is a problem for non-technical users. The existing network management tools or ISP adapter tools are far too technical and difficult to be understood by ordinary home-network users. Its interface is not non-technical user-directed and does not address the home user's needs in securing their network. This paper presents an interactive security monitoring tool, which emphasizes support features for home-network users. The tool combines an interactive visual appearance with a persuasive approach that supports sustainability. It is not only an easy-to-use tool for all categories of home-network users but also acts as a monitoring feature for the user to secure their home-network.

• Convergence Security Journal
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• v.3 no.1
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• pp.7-22
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• 2003

The legal dispute of electronic commerce and computer crimes are increasing because the electronic services like e-government and e-commerce are now widely used. Computer Forensics becomes the method for recovery, preservation, analysis and report regarding digital evidence essential to resolve the legal dispute and computer crime. In this paper, the developmental process of Computer Forensics is discussed. It is intended to elicit constructive discussion regarding the domestic Computer Forensics. And this discussion will be of help to establish the secure e-business and e-government services in the field of the research, legal system and technical skill of domestic Computer Forensics.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.134-138
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• 2023

The field of digital forensics requires good theoretical and practical knowledge, so practitioners should have an in-depth understanding and knowledge of both theory and practical as they need to take decisions which impacts human lives. With the demand and advancements in the realm of digital forensics, many universities around the globe are offering digital forensics programs, but there is a huge gap between the skills acquired by the student's and the market needs. This research work explores the problems faced by digital forensics programs, and provides solution to overcome the gap between the skills acquired by the student's and the market needs using Activity led learning pedagogy for digital forensics programs.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.297-302
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• 2021

The development of various phishing websites enables hackers to access confidential personal or financial data, thus, decreasing the trust in e-business. This paper compared the detection techniques utilizing URL-based features. To analyze and compare the performance of supervised machine learning classifiers, the machine learning classifiers were trained by using more than 11,005 phishing and legitimate URLs. 30 features were extracted from the URLs to detect a phishing or legitimate URL. Logistic Regression, Random Forest, and CatBoost classifiers were then analyzed and their performances were evaluated. The results yielded that CatBoost was much better classifier than Random Forest and Logistic Regression with up to 96% of detection accuracy.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.175-184
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• 2006

Computer Forensics functions by defending the effects and extracting the evidence of the side effects for production at the court. Has the faultlessness of the digital evidence been compromised during the investigation, a critical evidence may be denied or not even be presented at the trial. The presented monograph will deliberate the faultlessness-establishing chain procedures in disk forensics, system forensics, network forensics, mobile forensics and database forensics. Once the faultlessness is established by the methods proposed, the products of investigation will be adopted as a leading evidence. Moreover, the issues and alternatives in the reality of digital investigation are presented along with the actual computer forensics cases, hopefully contributing to the advances in computer digital forensics and the field research of information security.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.4
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• pp.149-162
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• 2004

Until now the study of computer forensics has been focused only system forensics which carried on keeping, processing and collecting the remained evidence on computer. Recently the trend of forensic study is proceeding about the network forensics which analyze the collected information in entire networks instead of analyzing the evidence on a victim computer. In particular network forensics is more important in Automated Computer Emergency Response System because the system deals with the intrusion evidence of entire networks. In this paper we defined the information of network forensics that have to be collected in Automated Computer Emergency Response System and verified the defined information by comparing with the collected information in experimental environments.

• Journal of the Korea Society of Computer and Information
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• v.12 no.1 s.45
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• pp.117-126
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• 2007

Web Forensics algorithm used to an extraction of technical Web Forensics data to be adopted to proof data regarding a crime cyber a computer at data of a great number of log History is an essential element. Propose Web Forensics algorithm, and design at these papers, and try to implement in a Web server system of an actual company. And make the Web dispatch Loging system configuration experiment that applied integrity regarding Web log History information or authentication regarding an information source. Design Web Forensics algorithm and the Flow which used for Web log History analyses at server of e-mail, webmail, HTTP (Web BBs. Blog etc.), FTP, Telnet and messengers (MSN, NateOn, Yahoo, DaumTouch, BuddyBuddy, MsLee, AOL, SoftMe) of a company, and implement through coding. Therefore have a purpose of these Paper to will contribute in scientific technical development regarding a crime cyber a computer through Web Forensics.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.1-10
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• 2021

Cyberbullying has become a severe issue and brought a powerful impact on the cyber world. Due to the low cost and fast spreading of news, social media has become a tool that helps spread insult, offensive, and hate messages or opinions in a community. Detecting cyberbullying from social media is an intriguing research topic because it is vital for law enforcement agencies to witness how social media broadcast hate messages. Twitter is one of the famous social media and a platform for users to tell stories, give views, express feelings, and even spread news, whether true or false. Hence, it becomes an excellent resource for sentiment analysis. This paper aims to detect cyberbully threats based on Naïve Bayes, support vector machine (SVM), and k-nearest neighbour (k-NN) classifier model. Sentiment analysis will be applied based on people's opinions on social media and distribute polarity to them as positive, neutral, or negative. The accuracy for each classifier will be evaluated.