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Eyewitness Memory01:22

Eyewitness Memory

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Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
One such error is memory distortion, which occurs because human memory does not function...
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Working Memory01:24

Working Memory

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Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
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Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
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相关实验视频

Updated: Jan 17, 2026

Eye Movement Monitoring of Memory
08:06

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SQL Server的内存驱动法医分析:一个缓冲池和页面检查方法.

Jiho Shin1

  • 1Police Science Institute, Korean National Police University, Asan 31539, Republic of Korea.

Sensors (Basel, Switzerland)
|September 19, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种基于内存的法医方法,用于在Microsoft SQL Server中实时恢复已删除的数据. 它可以从内存中快速恢复关键数据,增强物联网和边缘计算系统的数字取证.

关键词:
我们的SQL服务器是SQL服务器.缓冲池是一个缓冲池.缓存的时间 缓存的时间 缓存的时间数据库法医学数据库法医学删除的数据恢复.基于传感器的系统交易日志 交易日志

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相关实验视频

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科学领域:

  • 计算机科学 计算机科学
  • 数字法医学数字法医学
  • 数据库系统 数据库系统

背景情况:

  • 在Microsoft SQL Server中,传统的删除数据恢复方法 (交易日志分析,离线文件检查) 缺乏实时适用性,并且错过了挥发性内存数据.
  • 传感器驱动的系统 (物联网网关,边缘计算) 在轻量级的SQL引擎中本地存储关键数据,使它们易受内部威胁的影响.
  • 实时法医分析对于时间敏感的事件,如网络入侵和内部操纵至关重要.

研究的目的:

  • 提出基于内存的法医程序,用于实时恢复微软SQL Server中删除的数据.
  • 解决传统方法在捕获挥发性,内存居民数据方面的局限性.
  • 为物联网和边缘计算环境增强数字取证能力.

主要方法:

  • 通过立即删除后的交易日志分析捕获删除事件信息.
  • 在服务器的缓冲池中直接检查内存居民页面.
  • 分析缓冲池页面结构并与日志数据交叉引用以建立基于内存的法医框架.

主要成果:

  • 在实时的SQL Server环境中,通过结合交易日志和内存页面分析,成功地部分或完全恢复删除的记录.
  • 在不中断操作数据库的情况下,实时法医分析的可行性得到证明.
  • 建立了一个基于内存的框架,用于恢复和验证已删除的记录.

结论:

  • 拟议的基于内存的方法提高了在时间敏感场景中数字取证的速度和准确性.
  • 从内存中实时删除数据的恢复对于物联网传感器数据完整性,法医可追溯性和系统弹性至关重要.
  • 这种方法提供了一个基本的方法来快速和精确地恢复删除的数据,这对于内部威胁检测和网络入侵响应至关重要.