Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different reasons...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same journal

Commentary on: Maskell PD, de Korompay A. Letter to the Editor-The transition point from zero-order to first order in blood alcohol elimination curves. Where is it? J Forensic Sci. 2025;70 (1):398-400. https://doi.org/10.1111/1556-4029.15650.

Journal of forensic sciences·2026
Same journal

A novel relationship between time offsets in capillary electrophoresis and DNA sequence variations in short tandem repeats.

Journal of forensic sciences·2026
Same journal

A 4-zone model to determine fentanyl overdose probability.

Journal of forensic sciences·2026
Same journal

Authors' response.

Journal of forensic sciences·2026
Same journal

Determining the utility of radio frequency identification (RFID) technology for disaster victim identification (DVI).

Journal of forensic sciences·2026
Same journal

Stakeholders' perspectives on integrating point-of-care diagnostics into forensic death investigations in South Africa.

Journal of forensic sciences·2026
查看所有相关文章

相关实验视频

Updated: Jun 20, 2026

Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

21.4K

对iOS二进制cookie文件进行法医分析.

Hudan Studiawan1

  • 1Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

Journal of forensic sciences
|March 5, 2024
PubMed
概括
此摘要是机器生成的。

法医调查人员现在可以解码iPhone二进制cookie,以发现用户活动. 这种方法从这些经常被忽视的数据文件中提取有价值的数字痕迹,如访问的网站和时间.

关键词:
二进制饼干 二进制饼干法医分析法医分析一个iOS设备的iOS设备.反向工程是一种逆向工程.

更多相关视频

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence
11:49

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence

Published on: March 9, 2015

15.7K
Unravelling the Function of a Bacterial Effector from a Non-cultivable Plant Pathogen Using a Yeast Two-hybrid Screen
11:30

Unravelling the Function of a Bacterial Effector from a Non-cultivable Plant Pathogen Using a Yeast Two-hybrid Screen

Published on: January 20, 2017

11.6K

相关实验视频

Last Updated: Jun 20, 2026

Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

21.4K
Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence
11:49

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence

Published on: March 9, 2015

15.7K
Unravelling the Function of a Bacterial Effector from a Non-cultivable Plant Pathogen Using a Yeast Two-hybrid Screen
11:30

Unravelling the Function of a Bacterial Effector from a Non-cultivable Plant Pathogen Using a Yeast Two-hybrid Screen

Published on: January 20, 2017

11.6K

科学领域:

  • 数字法医学数字法医学
  • 计算机科学 计算机科学

背景情况:

  • iPhone操作系统 (iOS) 设备使用二进制cookie来存储数据,其中包含用户特定的信息.
  • 这些二进制cookie文件是智能手机取证中未被充分利用但有价值的资源.
  • 了解它们的结构对于数字调查至关重要.

研究的目的:

  • 开发一种全面的方法来解码和提取iOS二进制cookie文件中的数据.
  • 增强从iOS设备恢复用户活动信息.
  • 为了研究这些二进制cookie文件的结构和功能.

主要方法:

  • 这项研究采用了反向工程技术.
  • 开发了定制的Python脚本来解码cookie文件的二进制结构.
  • 该方法专注于提取诸如cookie标志,到期,创建日期,域名和值等细节.

主要成果:

  • 分析成功解码了iOS二进制cookie文件,揭示了重要的数字痕迹.
  • 提取的数据包括用户偏好,访问的网站和在线活动的时间.
  • 这些发现表明了这些文件在重建用户行为的潜力.

结论:

  • 对iOS二进制cookie文件的法医分析为调查提供了宝贵的见解.
  • 这项研究有助于理解数字取证中较少探索的数据源.
  • 开发的技术是法医调查人员和网络安全专业人员的宝贵工具.