Indicators of compromise enable system administrators and information security professionals to detect intrusion attempts or malicious activities.
Your information is incomplete as the options aren't provided. Therefore, an overview of indicators of compromise will be given.
Indicators of compromise means the pieces of forensic data that are found in files or system log entries to identify malicious activity on a network or system.
Indicators of compromise help IT and information security professionals to detect malware infections, data breaches, etc. Examples of indicators of <em>compromise</em> include log-in red flags, unusual outbound network traffic.
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Answer:
ip = enrollment + section;
Explanation:
The variable ip has been declared to be a pointer to int.
int * ip;
The variable enrollment has been declared as an array of 20 elements .
int enrollment[20];
The variable section has been declared as an int.
int section;
In order to make ip point to the element in the array indexed by section, we can use the following statement :
ip = enrollment + section;
This will make ip point to enrollment[section].
Answer:
- Peripheral devices
Explanation:
Peripheral devices are defined as computer devices which are not the element of the essential/basic computer function. These devices can be internal as well as external and are primarily connected to the computer for entering or getting information from the computer. For example, the keyboards or mouse functions to enter data into the computer for processing and receiving information while the output devices like speakers, projectors, printers, etc. are used to get the information out of the computer.
Answer:
The digital footprint that is left behind can have repercussions in all areas of your teen's life, potentially resulting in missed job opportunities, public sharing of personal information, ruined relationships — or, in what is likely more relevant to them right now: Their parents finding out what they've been up to
Explanation:
Answer:
Each time you insert a new node, call the function to adjust the sum.
This method has to be called each time we insert new node to the tree since the sum at all the
parent nodes from the newly inserted node changes when we insert the node.
// toSumTree method will convert the tree into sum tree.
int toSumTree(struct node *node)
{
if(node == NULL)
return 0;
// Store the old value
int old_val = node->data;
// Recursively call for left and right subtrees and store the sum as new value of this node
node->data = toSumTree(node->left) + toSumTree(node->right);
// Return the sum of values of nodes in left and right subtrees and
// old_value of this node
return node->data + old_val;
}
This has the complexity of O(n).
Explanation: