An LDS must have all direct identifiers removed.
According to the HIPPA policy, a Limited Data Set (LDS) is a kind of data set in which direct identifiers are removed.
Limited Data Set (LDS) is a set of data that can be used for research purposes under the HIPPA policy without any authorization from the patient. However, this kind of data ensures that any kind of identifier information such as the patient's name, relative's name, address, number etc is not shared and not made a part of the research.
Limited Data Set (LDS) shows common information like age, city, and gender information from the data.
The Limited Data Set (LDS) is available to only those researchers with whom the data use agreement has been signed.
To learn more about Limited Data Set (LDS), click here:
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Answer:
a. Password length, password encryption, password complexity
Explanation:
Under this scenario, the best combination would be Password length, password encryption, password complexity. This is because the main security problem is with the user's passwords. Increasing the password length and password complexity makes it nearly impossible for individuals to simply guess the password and gain access, while also making it extremely difficult and time consuming for hackers to use software to discover the password as well. Password excryption would be an extra layer of security as it encrypts the password before storing it into the database, therefore preventing eavesdroppers from seeing the password and leaked info from being used without decryption.
C - An Intranet will give access to all employees within the company, whether they work from home or at the office.
False. Some can, but some do not have space for them. Please mark Brainliest!!!
Answer:
public class Brainly
{
public static void main(String[] args)
{
BinaryConverter conv = new BinaryConverter();
String binStr = "01001101";
System.out.print(binStr + " in decimal is "+conv.BinToDec(binStr));
}
}
public class BinaryConverter
{
public int BinToDec(String binStr)
{
int d = 0;
while(binStr.length() > 0)
{
d = (d << 1) + ((binStr.charAt(0) == '1') ? 1: 0);
binStr = binStr.substring(1);
}
return d;
}
}
Explanation:
The program "eats" the string from left to right, and builds up the integer representation in variable "d" on the go. While there are digits left, it shifts the previous result to the left and sets the least signficant bit to 1 only if the corresponding string character is a 1.
