Answer:
Sniffing.
Explanation:
Data theft can be defined as a cyber attack which typically involves an unauthorized access to a user's data with the sole intention to use for fraudulent purposes or illegal operations. There are several methods used by cyber criminals or hackers to obtain user data and these includes DDOS attack, SQL injection, man in the middle, phishing, sniffing, etc.
Sniffing can be defined as a form of cyber attack in which a malicious user gains access to a private network with the intent of finding out what information is stored on the network.
A packet sniffer also known as a packet analyzer, is a computer software or hardware tool that can be used to intercept, log and analyze network traffic and data that passes through a digital network.
Basically, an unauthorized packet sniffer is used to steal user informations.
This ultimately implies that, sniffing typically involves monitoring and capturing internet traffic (data packets) that are transmitted through a private network in real-time by using a sniffing tool, which may either be a hardware or software.
In this scenario, a malicious user in an airport terminal seating area was able to connect wirelessly to a traveling employee's smartphone and downloaded her contact list. Thus, the type of attack that has taken place is referred to as sniffing.
Answer:
Computer to computer.
Explanation:
HTTP facilitates the connection between websites, so the answer is computer to computer.
In programming they know it as a String which is a sequence of characters that are composed of literal constants or some kind of variables. A sting is any finite sequence of characters. every single string has its own lenght and this is one of the most important characteristics of them. Strings are essential to communicate information from the program to the user.
Answer:
Explanation:
Data security is the process of protecting your most critical business assets (your data) against unauthorized or unwanted use.
This not only involves deploying the right data security products, but also combining people and processes with the technology you choose to protect data throughout its lifecycle. Enterprise data protection is a team sport.
Best practices for effective data security include taking a risk-based approach to protecting data, using a unified platform that integrates data security information across your entire enterprise and ensuring scalability across environments of any size across public cloud, on-premises and hybrid cloud deployments.
