Title: Understanding Network Hacks: Attack and Defense with Python Author: Bastian Ballmann Length: 178 pages Edition: 2015 Language: English Publisher: Springer Publication Date: 2015-01-20 ISBN-10: 3662444364 ISBN-13: 9783662444368 This book explains how to see one's own network through the eyes of an attacker, to understand their techniques and effectively protect against them. Through Python code samples the reader learns to code tools on subjects such as password sniffing, ARP poisoning, DNS spoofing, SQL injection, Google harvesting and Wifi hacking. Furthermore the reader will be introduced to defense methods such as intrusion detection and prevention systems and log file analysis by diving into code. Table of Contents Chapter 1 Installation Chapter 2 Network 4 Newbies Chapter 3 Python Basics Chapter 4 Layer 2 Attacks Chapter 5 TCP/IP Tricks Chapter 6 WHOIS DNS? Chapter 7 HTTP Hacks Chapter 8 Wifi Fun Chapter 9 Feeling Bluetooth on the Tooth Chapter 10 Bargain Box Kung Fu Appendix A Scapy Reference Appendix B Secondary Links
2021-08-27 15:52:15 1.95MB Network Hacks Python
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皮托奇·西法尔100 pytorch在cifar100上练习 要求 这是我的实验资料 python3.6 pytorch1.6.0 + cu101 张量板2.2.2(可选) 用法 1.输入目录 $ cd pytorch-cifar100 2.数据集 我将使用来自torchvision的cifar100数据集,因为它更方便,但我还将示例代码保留了用于在数据集文件夹中编写您自己的数据集模块的示例,以作为人们不知道如何编写它的示例。 3.运行tensorbard(可选) 安装张量板 $ pip install tensorboard $ mkdir runs Run tensorboard
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适用于Windows和Linux的Yolo v4,v3和v2 (用于物体检测的神经网络) 纸YOLO v4: : Paper Scaled : : 用于重现结果: 有关媒体的文章中的更多详细信息: 手册: : 讨论: 关于Darknet框架: : 如何在Linux上编译 如何在Windows上编译 AP50:95-FPS(Tesla V100)论文: : AP50:95 / AP50-FPS(Tesla V100)论文: : tkDNN-TensorRT将批次1的YOLOv4加速约2倍,将批次4的YOLOv4加速3倍至4倍。 tkDNN: : Op
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利用網路可視性 (Network Visibility) 平台打造多層資安防禦機制 自动化 信息安全 网络信息安全 安全测试 系统安全
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