Book Image

Applied Network Security

By : Arthur Salmon, Michael McLafferty, Warun Levesque
Book Image

Applied Network Security

By: Arthur Salmon, Michael McLafferty, Warun Levesque

Overview of this book

Computer networks are increasing at an exponential rate and the most challenging factor organisations are currently facing is network security. Breaching a network is not considered an ingenious effort anymore, so it is very important to gain expertise in securing your network. The book begins by showing you how to identify malicious network behaviour and improve your wireless security. We will teach you what network sniffing is, the various tools associated with it, and how to scan for vulnerable wireless networks. Then we’ll show you how attackers hide the payloads and bypass the victim’s antivirus. Furthermore, we’ll teach you how to spoof IP / MAC address and perform an SQL injection attack and prevent it on your website. We will create an evil twin and demonstrate how to intercept network traffic. Later, you will get familiar with Shodan and Intrusion Detection and will explore the features and tools associated with it. Toward the end, we cover tools such as Yardstick, Ubertooth, Wifi Pineapple, and Alfa used for wireless penetration testing and auditing. This book will show the tools and platform to ethically hack your own network whether it is for your business or for your personal home Wi-Fi.
Table of Contents (18 chapters)

Alert status

There are four types of alert statuses that you might come across. These alerts can indicate everything is operating normally or that a program or operation is behaving suspiciously. The four status types are: false positive, false negative, true negative (false false), and true positive (positive positive):

  • False positive: This is often called a "false alarm", or any normal behavior that is seen as malicious or unwanted but isn't. An example of this would be your e-mail service sending a legitimate e-mail to the spam folder instead of your inbox. The detection software got a false positive on your e-mail and, not knowing any better, thought it was unwanted spam.
  • False negative: This is the opposite of a false positive, where a malicious or unwanted action slips past. False negatives are much more dangerous than false positives. An example would be an IDS or IPS not recognizing the type...