• Title/Summary/Keyword: Computer forensics

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Digital Content Protection and Computer Forensics Evidence Management Mechanism using MPEG-21 in Network Service Environment (네트워크 서비스 환경에서 MPEG-21을 활용한 디지털 콘텐츠 보호 및 컴퓨터 포렌식스 증거 관리 메커니즘)

  • Jang, Eun Gyeom;Lee, Bum Suk
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.2
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    • pp.129-141
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    • 2010
  • In network service environment, cultures from diversified fields are easily accessible thanks to the convenient digital content services. Unfortunately, unauthorized access and indiscreet misuse behaviors have deprived content owners of their copyrights. This study suggests an integrity-ensured model applicable for forensic evidence of digital content infringement in network service environment. The suggested model is based on MPEG-21 core components for digital content protection and the system is designed in connection with the components of digital content forensics. Also, the present study suggests an efficient technology to protect and manage computer forensic evidence and digital content by authorizing digital content use and catching infringing logs of authorized users without lag in network environment for the benefit of network security and reliability.

On Enhanced e-Government Security - Network Forensics

  • Wei, Ren
    • 한국디지털정책학회:학술대회논문집
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    • 2004.11a
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    • pp.173-184
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    • 2004
  • E-Government security is crucial to the development of e-government. Due to the complexity and characteristics of e-government security, the viable current approaches for security focus on preventing the network intrusion or misusing in advanced and seldom concern of the forensics data attaining for the investigation after the network attack or fraud. We discuss the method for resolving the problem of the e-government security from the different side of view - network forensics approaches? from the thinking of the active protection or defense for the e-government security, which can also improve the ability of emergence response and incident investigation for e-government security.

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Analysis of a Third-Party Application for Mobile Forensic Investigation

  • Ryu, Jung Hyun;Kim, Nam Yong;Kwon, Byoung Wook;Suk, Sang Ki;Park, Jin Ho;Park, Jong Hyuk
    • Journal of Information Processing Systems
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    • v.14 no.3
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    • pp.680-693
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    • 2018
  • Nowadays, third-party applications form an important part of the mobile environment, and social networking applications in particular can leave a variety of user footprints compared to other applications. Digital forensics of mobile third-party applications can provide important evidence to forensics investigators. However, most mobile operating systems are now updated on a frequent basis, and developers are constantly releasing new versions of them. For these reasons, forensic investigators experience difficulties in finding the locations and meanings of data during digital investigations. Therefore, this paper presents scenario-based methods of forensic analysis for a specific third-party social networking service application on a specific mobile device. When applied to certain third-party applications, digital forensics can provide forensic investigators with useful data for the investigation process. The main purpose of the forensic analysis proposed in the present paper is to determine whether the general use of third-party applications leaves data in the mobile internal storage of mobile devices and whether such data are meaningful for forensic purposes.

Slangs and Short forms of Malay Twitter Sentiment Analysis using Supervised Machine Learning

  • Yin, Cheng Jet;Ayop, Zakiah;Anawar, Syarulnaziah;Othman, Nur Fadzilah;Zainudin, Norulzahrah Mohd
    • International Journal of Computer Science & Network Security
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    • v.21 no.11
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    • pp.294-300
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    • 2021
  • The current society relies upon social media on an everyday basis, which contributes to finding which of the following supervised machine learning algorithms used in sentiment analysis have higher accuracy in detecting Malay internet slang and short forms which can be offensive to a person. This paper is to determine which of the algorithms chosen in supervised machine learning with higher accuracy in detecting internet slang and short forms. To analyze the results of the supervised machine learning classifiers, we have chosen two types of datasets, one is political topic-based, and another same set but is mixed with 50 tweets per targeted keyword. The datasets are then manually labelled positive and negative, before separating the 275 tweets into training and testing sets. Naïve Bayes and Random Forest classifiers are then analyzed and evaluated from their performances. Our experiment results show that Random Forest is a better classifier compared to Naïve Bayes.

Ensuring the Admissibility of Mobile Forensic Evidence in Digital Investigation (모바일 포렌식 증거능력 확보 방안 연구)

  • Eo, Soowoong;Jo, Wooyeon;Lee, Seokjun;Shon, Taeshik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.1
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    • pp.135-152
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    • 2016
  • Because of the evolution of mobile devices such as smartphone, the necessity of mobile forensics is increasing. In spite of this necessity, the mobile forensics does not fully reflect the characteristic of the mobile device. For this reason, this paper analyzes the legal, institutional, and technical considerations for figuring out facing problems of mobile forensics. Trough this analysis, this study discuss the limits of screening seizure on the mobile device. Also, analyzes and verify the mobile forensic data acquisition methods and tools for ensuring the admissibility of mobile forensic evidence in digital investigation.

A Study on Computer Forensics Technology (컴퓨터 포렌식스 기술에 관한 연구)

  • 홍성욱;서영선;송정환
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2003.12a
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    • pp.523-532
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    • 2003
  • 컴퓨터 포렌식스(Computer Forensics)란 컴퓨터 범죄자료가 법적 증거물로써 제출될 수 있도록 증거의 확인, 복사, 분석 등 일련의 행위를 하는 것을 말한다. 컴퓨터에서 각종 증거자료를 추출하기 위해서는 컴퓨터 특성 이해와 고도의 보안기술을 갖추지 않으면 실제로 증거자료가 존재함에도 불구하고 그냥 간과해 버릴 수도 있다. 본 논문에서는 컴퓨터 범죄를 소개하고 컴퓨터 포렌식스의 소요 기술을 분류하며, 컴퓨터 포렌식스 기술에서 중요한 부분을 차지하고 있는 삭제된 파일 복구기술에 대하여 고찰한다.

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Research on Advanced Electronic Records Management Technology Using Digital Forensics (디지털 포렌식 기법을 적용한 전자기록물 관리기술 고도화 연구)

  • Yoo, Hyunguk;Shon, Taeshik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.2
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    • pp.273-277
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    • 2013
  • Recently, according with a sudden increase of records produced and stored by digital way, it becomes more important to maintain reliability and authenticity and to ensure legal effect when digital records are collected, preserved and managed. On the basis of domestic legal procedure law and record management-related legislation, this paper considered judicial admissibility of evidence on electronic records managed by National Archives of Korea and drew potential problems when these are submitted to court as a evidence. Also, this paper suggested a plan applying digital forensics technique to electronic records management to ensure admissibility of evidence about electronic records stored in National Archives of Korea.

A Simulation Model for the Response of Information-Warfare based on Computer Forensics (정보전대응을 위한 컴퓨터 포렌식스 기반 모의실험1))

  • Choe, Yong-Rak;Ko, Byong-Su;Park, Meong-Chan
    • Journal of National Security and Military Science
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    • s.1
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    • pp.391-421
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    • 2003
  • While the social activities using Internet become generalized, the side effect of the information security violation is increasing steadily and threaten the countries which is not ready to prevent from offensive penetration such as the Information-fighter or Cyber-military. In this paper, we define the concept and characteristics of the modern Information-Warfare and analyze various kinds of threatened elements and also examine the recent trend in other countries. And introducing Computer Forensics raised recently for the confrontation against the security violation in the future, we will show the developing strategies and the necessity in order to response cyber attacks. These developing strategies can be used to ensure and re-trace the technical evidence for the security violation and to achieve the disaster relief effectively. So we hope that can apply them to the actual preparation through developing cyber trial test of the defense and attack for the Information-Warfare.

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A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU

  • Wei Fang;Xuelei Jia;Wen Zhang;Victor S. Sheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.486-503
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    • 2023
  • Logs play an important role in mastering the health of the system, experienced operation and maintenance engineer can judge which part of the system has a problem by checking the logs. In recent years, many system architectures have changed from single application to distributed application, which leads to a very huge number of logs in the system and manually check the logs to find system errors impractically. To solve the above problems, we propose a method based on Message Middleware and ATT-GRU (Attention Gate Recurrent Unit) to detect the logs anomaly of distributed systems. The works of this paper mainly include two aspects: (1) We design a high-performance distributed logs collection architecture to complete the logs collection of the distributed system. (2)We improve the existing GRU by introducing the attention mechanism to weight the key parts of the logs sequence, which can improve the training efficiency and recognition accuracy of the model to a certain extent. The results of experiments show that our method has better superiority and reliability.

An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

  • Zhang, Xiaorui;Wu, Hailun;Sun, Wei;Yuan, Chengsheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.4
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    • pp.1738-1756
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    • 2020
  • To improve the accuracy and realism of the virtual surgical simulation system, this paper proposes an optimized mass-spring model with shape restoration ability based on volume conservation to simulate soft tissue deformation. The proposed method constructs a soft tissue surface model that adopts a new flexion spring for resisting bending and incorporates it into the mass-spring model (MSM) to restore the original shape. Then, we employ the particle swarm optimization algorithm to achieve the optimal solution of the model parameters. Besides, the volume conservation constraint is applied to the position-based dynamics (PBD) approach to maintain the volume of the deformable object for constructing the soft tissue volumetric model base on tetrahedrons. Finally, we built a simulation system on the PHANTOM OMNI force tactile interaction device to realize the deformation simulation of the virtual liver. Experimental results show that the proposed model has a good shape restoration ability and incompressibility, which can enhance the deformation accuracy and interactive realism.