Book Image

Practical Network Scanning

By : Ajay Singh Chauhan
Book Image

Practical Network Scanning

By: Ajay Singh Chauhan

Overview of this book

Network scanning is the process of assessing a network to identify an active host network; same methods can be used by an attacker or network administrator for security assessment. This procedure plays a vital role in risk assessment programs or while preparing a security plan for your organization. Practical Network Scanning starts with the concept of network scanning and how organizations can benefit from it. Then, going forward, we delve into the different scanning steps, such as service detection, firewall detection, TCP/IP port detection, and OS detection. We also implement these concepts using a few of the most prominent tools on the market, such as Nessus and Nmap. In the concluding chapters, we prepare a complete vulnerability assessment plan for your organization. By the end of this book, you will have hands-on experience in performing network scanning using different tools and in choosing the best tools for your system.
Table of Contents (19 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

AI in cyber security 


In the future, AI could be a cyber security game-changer. Cyber security vendors are innovating to bring AI-based cyber security products to market in a big way. The deployment of such technology will gain momentum in the coming years. Machine learning (ML) is a sub-branch of artificial intelligence (AI) that refers to technologies that enable computers to learn and adapt through experience. ML can be used to identify malicious behavior or malicious entities, hackers, attackers, malware, unwanted behavior, and so on. The biggest challenge would be to define what normal behavior is for an application.

For example, you can see when the maximum number of users are online on an online shopping company, as well as being able to view the number of connections with a data pattern. When it comes to a big sale, the number of users is expected to be high, so you could add another pattern to accommodate this. By using ML, you can record the pattern of users and data traffic on...