Hardening is the technique of reducing security exposure and tightening security controls of software and network devices.
Security is a major concern, when connecting over a network. Through hardening, security of a network is protected from vulnerable activities. Hardening reduces exposures associated with security and provides tight controls for it.
Hardening is typically a collection of tools and techniques that are used to decrease vulnerability in computer software, applications, network devices and infrastructure. The main goal of hardening is to protect security by identifying and eliminating superfluous programs, applications, permissions and access, which in turn, reduces the chances that attackers and malware will gain access over the network ecosystem.
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Answer:
The Python code with the function is given below. Testing and output gives the results of certain chosen parameters for the program
Explanation:
def first_last(seq):
if(len(seq) == 0):
return ()
elif(len(seq) == 1):
return (seq[0],)
else:
return (seq[0], seq[len(seq)-1])
#Testing
print(first_last([]))
print(first_last([1]))
print(first_last([1,2,3,4,5]))
# Output
( )
( 1 , )
( 1 , 5 )
Answer: Insertion steganography
Explanation: Insertion steganography is the way of encrypting the data with the help of a regular files and message. It is encrypted by the ordinary files because the identification of files can be neglected. This process is carried out just for the protection purpose in extra form and gets decrypted in the destination port .It has the working based on the replacement of the bits in a file .
<span>Determining the keystrokes of opening the cmos editor depends on the ram contained in the parameters in BIOS.It can be a very daunting task however made more accessible by instructions detailed in various ways by others.Research is needed.</span>
Answer:
Explanation:
Hadoop clusters can boost the processing speed of many big data analytics jobs, given their ability to break down large computational tasks into smaller tasks that can be run in a parallel, distributed fashion.
