• Title/Summary/Keyword: Remote Evidence Acquisition

Search Result 4, Processing Time 0.024 seconds

The Design of Remote Digital Evidence Acquisition System for Incident Response of Smart Grid Devices (스마트그리드 기기 보안 침해사고 대응을 위한 원격 증거 수집 시스템 설계)

  • Kang, SeongKu;Kim, Sinkyu
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.25 no.1
    • /
    • pp.49-60
    • /
    • 2015
  • Smart Grid devices are the major components of the Smart Grid. They collect and process a variety informations relating power services and support intelligent power services by exchanging informations with other SG devices or systems. However, If a SG device is attacked, the device can provide attack route to attacker and attacker can attack other SG devices or systems using the route. It may cause problem in power services. So, when cyber incident is happened, we need to acquire and examine digital evidence of SG device quickly to secure availability of SG. In this paper, we designed remote evidence acquisition system to acquire digital evidences from SG devices to response quickly to incidents of SG devices. To achieve this, we analyzed operating environment of SG devices and thought remote digital evidence acquisition system of SG devices will be more effective than remote digital evidence acquisition system targeted general IT devices. So, we introduce design method for SG devices remote evidence acquisition system considered operating environment of SG devices.

Study on Remote Data Acquisition Methods Using OAuth Protocol of Android Operating System (안드로이드 환경의 OAuth 프로토콜을 이용한 원격지 데이터 수집 방법 연구)

  • Nam, Gi-hoon;Gong, Seong-hyeon;Seok, Byoung-jin;Lee, Changhoon
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.28 no.1
    • /
    • pp.111-122
    • /
    • 2018
  • Using OAuth protocol, third-party applications on the Android operating system use user's credentials or access tokens that have access authority on user's resources to gain user's account and personal information from account information providers. These credentials and token information are stored in the device by the OAuth data management method provided by the Android operating system. If this information is leaked, the attacker can use the leaked credential and token data to get user's personal data without login. This feature enables the digital forensic investigator to collect data directly from the remote server of the services used by the target of investigation in terms of collecting evidence data. Evidence data collected at a remote location can be a basis for secondary warranties and provide evidence which can be very important evidence when an attacker attempts to destroy evidence, such as the removal of an application from an Android device. In this paper, we analyze the management status of OAuth tokens in various Android operating system and device environment, and show how to collect data of various third party applications using it. This paper introduces a method of expanding the scope of data acquisition by collecting remote data of the services used by the subject of investigation from the viewpoint of digital forensics.

Grounding Line of Campbell Glacier in Ross Sea Derived from High-Resolution Digital Elevation Model (고해상도 DEM을 활용한 로스해 Campbell 빙하의 지반접지선 추정)

  • Kim, Seung Hee;Kim, Duk-jin;Kim, Hyun-Cheol
    • Korean Journal of Remote Sensing
    • /
    • v.34 no.3
    • /
    • pp.545-552
    • /
    • 2018
  • Grounding line is used as evidence of the mass balance showing the vulnerability of Antarctic glaciers and ice shelves. In this research, we utilized a high resolution digital elevation model of glacier surface derived by recently launched satellites to estimate the position of grounding line of Campbell Glacier in East Antarctica. TanDEM-X and TerraSAR-X data in single-pass interferometry mode were acquired on June 21, 2013 and September 10, 2016 and CryoSat-2 radar altimeter data were acquired within 15 days from the acquisition date of TanDEM-X. The datasets were combined to generate a high resolution digital elevation model which was used to estimate the grounding line position. During the 3 years of observation, there weren't any significant changes in grounding line position. Since the average density of ice used in estimating grounding line is not accurately known, the variations of the grounding line was analyzed with respect to the density of ice. There was a spatial difference from the grounding line estimated by DDInSAR whereas the estimated grounding line using the characteristics of the surface of the optical satellite images agreed well when the ice column density was about $880kg/m^3$. Although the reliability of the results depends on the vertical accuracy of the bathymetry in this study, the hydrostatic ice thickness has greater influence on the grounding line estimation.

A Study on the remote acuisition of HejHome Air Cloud artifacts (스마트 홈 헤이 홈 Air의 클라우드 아티팩트 원격 수집 방안 연구)

  • Kim, Ju-eun;Seo, Seung-hee;Cha, Hae-seong;Kim, Yeok;Lee, Chang-hoon
    • Journal of Internet Computing and Services
    • /
    • v.23 no.5
    • /
    • pp.69-78
    • /
    • 2022
  • As the use of Internet of Things (IoT) devices has expanded, digital forensics coverage of the National Police Agency has expanded to smart home areas. Accordingly, most of the existing studies conducted to acquire smart home platform data were mainly conducted to analyze local data of mobile devices and analyze network perspectives. However, meaningful data for evidence analysis is mainly stored on cloud storage on smart home platforms. Therefore, in this paper, we study how to acquire stored in the cloud in a Hey Home Air environment by extracting accessToken of user accounts through a cookie database of browsers such as Microsoft Edge, Google Chrome, Mozilia Firefox, and Opera, which are recorded on a PC when users use the Hey Home app-based "Hey Home Square" service. In this paper, the it was configured with smart temperature and humidity sensors, smart door sensors, and smart motion sensors, and artifacts such as temperature and humidity data by date and place, device list used, and motion detection records were collected. Information such as temperature and humidity at the time of the incident can be seen from the results of the artifact analysis and can be used in the forensic investigation process. In addition, the cloud data acquisition method using OpenAPI proposed in this paper excludes the possibility of modulation during the data collection process and uses the API method, so it follows the principle of integrity and reproducibility, which are the principles of digital forensics.