-
jsjfqz
摘要:在计算机取证日益受到人们重视和关注的今天,人们对反取证技术的研究相对较少。本文主要介绍目前常
见的反取证技术和工具,并给出几个实现反取讧的具体实例。
关键词:计算机取证计算机反取证计算机安全计算机犯罪(Abstract : Computer Forensics increasing people's awareness of and concern today, People on the anti-Forensics relatively little research. This paper introduces the common anti-forensics technology and tools, and gave a few anti-from congress to achieve specific examples. Keywords : Computer Forensics Computer Anti-Forensics computer security, computer crime.)
- 2007-06-10 20:01:19下载
- 积分:1
-
biguanguanli
一个宾馆客房管理系统,可以查询宾馆住房的信息,预定客房等基本的操作。(A Hotel room management system that can query the hotel housing the information, the basic target of the operation room.)
- 2009-06-29 11:00:26下载
- 积分:1
-
振动控制程序改进版
振动控制labview框图,亲自制作,已经调试好了。(vibration control by myself it can be used)
- 2017-09-18 20:57:42下载
- 积分:1
-
一个网络多播的源代码
一个网络多播的源代码- A network broadcasts much source code
- 2022-03-22 05:27:52下载
- 积分:1
-
JAVA脚本源代码,一些很流行的代码,试用于初学者
JAVA脚本源代码,一些很流行的代码,试用于初学者-Java script source code, some of the very popular code, use it on beginners
- 2022-05-22 23:05:15下载
- 积分:1
-
自动注册SOHU用户小程序
自动注册SOHU用户小程序-automatic registration procedures for small users SOHU
- 2023-05-05 07:00:04下载
- 积分:1
-
vs_net_ver298
VS.NET编程源码。包含很多VC++.NET和VB.NET源码(-VS.NET programming source code. It includes a lot source codes of VC++.NET and VB.NET.)
- 2004-05-29 12:41:49下载
- 积分:1
-
954717
系统oem修改源码例程,程序调用API函数实现系统oem修改功能。(System oem modify source code routines , the program calls API functions for system oem modification.)
- 2015-09-06 23:23:38下载
- 积分:1
-
获取本地或远程的网络信息。比如:输入计算机名,就可以获得IP地址等信息....
获取本地或远程的网络信息。比如:输入计算机名,就可以获得IP地址等信息.-Access to local or remote network information. For example: Enter the computer name, IP address, etc. on the available information.
- 2023-01-14 19:30:03下载
- 积分:1
-
Recommender-Systems-master
说明: 使用协同过滤的推荐系统测试代码Predicting movie ratings using collaborative filtering and latent concept extractors based on matrix decomposition methods like SVD and CUR on the movielens-100k dataset
The project explores techniques for predicting unknown user ratings based on a large dataset of users and movie ratings.(Recommender-SystemsWe used 6 different recommender methods to predict user ratings across the data sets.
Namely we set up Collaborative Filtering along with its baseline variant and Matrix decomposition techniques like Singular Value Decomposition and CUR. Moreover, we also implemented dimensionality reduction in these matrix decomposition techniques which preserved 90% of the energy so as to increase the computational efficiency while keeping the accuracy similar for these methods.)
- 2019-01-13 21:30:57下载
- 积分:1