Answer:
A. Spoofing
Explanation:
Spoofing is the act of disguising a communication from an unknown source as being from a known, trusted source. Spoofing can apply to emails, phone calls, and websites, or can be more technical, such as a computer spoofing an IP address, Address Resolution Protocol (ARP), or Domain Name System (DNS) server.
IP spoofing involves an attacker trying to gain unauthorised access to a system by sending messages with a fake or "spoofed" IP address to make it look like the message came from a trusted source, such as one on the same internal computer network, for example.
Email spoofing often involves things like requests for personal data or financial transactions. The emails appear to be from trusted senders such as customers, coworkers, or managers but they are actually from cyber criminals who deliberately disguise themselves to gain your trust and your help with the action they want you to take
Answer:
Material systems developer typically combines the skills of a programmer with the multitasking expectations of developing 3 dimensional models of objects, enhancing the graphical effects.
Answer:
The function definition for this question can be given as:
Function Definition:
bool isSenior(int x ) //function
{
//function body Or function definition.
//conditional statement
//if statement
if (x >=65)
{
return true; //return value true.
}
else //else statement
{
return false; //return value false.
}
}
Explanation:
In the above function definition firstly we define a function that isSenior. This function return Boolean value that is true or false in this function we pass the value as the parameter in that function we use the if statement that check the pass value is greater then equal to 65. If the condition is true it return true.else it will return false.
Answer:
Databars and Sparkliness are key types of conditional formatting in excel.
Explanation:
Databars show the relative magnitude of values in a dataset. Sparkliness are tiny charts that reside in a cell in excel. These charts are used to show the trend over the time or variation in the dataset.