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Dahasolnce [82]
3 years ago
9

The letters LAN stand for Area Network.

Computers and Technology
2 answers:
Slav-nsk [51]3 years ago
8 0

The letter LAN stand for : Local Area Network

alexandr402 [8]3 years ago
3 0

LAN=Local Area Network

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kirill115 [55]

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The Internet may best be compared to a/an
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A volcano because its always erupting
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TRUE/FALSE QUESTIONS: T F 1. An intruder can also be referred to as a hacker or cracker. T F 2. Activists are either individuals
Law Incorporation [45]

Answer:

1. True 2. False 3. True 4. True 5. True 6. False 7. True

Explanation:

1.  A hacker/cracker finds and exploits weakness in order to gain access with a criminal intent, just as an intruder.

2. Activists are people who campaign to bring about a positive political or social change.

3. It is illegal to use a device as a packet sniffer to steal people's usernames and passwords.

4. This quite true, as there is a huge community of hackers where people are highly recognized for hacking.

5. Yes, intruders have a common attack methodology.

6. IDS monitors networks or systems to identify suspicious activities while a user interface is the means the computer and the user interacts. So it's false.

7. instrusion detection involves monitoring networks or systems to identify suspicious activities, so an intruder is detected if their behavior is suspicious when compared to a legitimate user.

5 0
3 years ago
You are asked to simulate a binary search algorithm on an array of random values.An array is the list of similar type of element
Alex Ar [27]

Answer:

Explanation:

Problem statement:

to simulate a binary search algorithm on an array of random values.

Binary Search: Search a sorted array by repeatedly dividing the search interval in half. Begin with an interval covering the whole array. If the value of the search key is less than the item in the middle of the interval, narrow the interval to the lower half. Otherwise narrow it to the upper half. Repeatedly check until the value is found or the interval is empty.

Input/output description

Input:

Size of array: 4

Enter array:10  20 30 40

Enter element to be searched:40

The Output will look like this:

Element is present at index 3

Algorithm and Flowchart:

We basically ignore half of the elements just after one comparison.

Compare x with the middle element.

If x matches with middle element, we return the mid index.

Else If x is greater than the mid element, then x can only lie in right half subarray after the mid element. So we recur for right half.

Else (x is smaller) recur for the left half.

The Flowchart can be seen in the first attached image below:

Program listing:

// C++ program to implement recursive Binary Search

#include <bits/stdc++.h>

using namespace std;

// A recursive binary search function. It returns

// location of x in given array arr[l..r] is present,

// otherwise -1

int binarySearch(int arr[], int l, int r, int x)

{

   if (r >= l) {

       int mid = l + (r - l) / 2;

       // If the element is present at the middle

       // itself

       if (arr[mid] == x)

           return mid;

       // If element is smaller than mid, then

       // it can only be present in left subarray

       if (arr[mid] > x)

           return binarySearch(arr, l, mid - 1, x);

       // Else the element can only be present

       // in right subarray

       return binarySearch(arr, mid + 1, r, x);

   }

   // We reach here when element is not

   // present in array

   return -1;

}

int main(void)

{ int n,x;

cout<<"Size of array:\n";

cin >> n;

int arr[n];

cout<<"Enter array:\n";

for (int i = 0; i < n; ++i)

{ cin >> arr[i]; }

cout<<"Enter element to be searched:\n";

cin>>x;

int result = binarySearch(arr, 0, n - 1, x);

   (result == -1) ? cout << "Element is not present in array"

                  : cout << "Element is present at index " << result;

   return 0;

}

The Sample test run of the program can be seen in the second attached image below.

Time(sec) :

0

Memory(MB) :

3.3752604177856

The Output:

Size of array:4

Enter array:10  20 30 40

Enter element to be searched:40

Element is present at index 3

Conclusions:

Time Complexity:

The time complexity of Binary Search can be written as

T(n) = T(n/2) + c  

The above recurrence can be solved either using Recurrence T ree method or Master method. It falls in case II of Master Method and solution of the recurrence is Theta(Logn).

Auxiliary Space: O(1) in case of iterative implementation. In case of recursive implementation, O(Logn) recursion call stack space.

8 0
2 years ago
what company is credited with solving a problem by creating a program that would work on all computers
seropon [69]

Answer:

The General Problem Solver (GPS) is a particular computer program created in 1957 by Herbert Simon, J. C. Shaw, and Allen Newell intended to work as a universal problem solver, that theoretically can be used to solve every possible problem that can be formalized in a symbolic system, given the right input configuration

Explanation:

7 0
3 years ago
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