How to detect and prevent Malware

How to detect and prevent Malware
Introduction
Malicious software which is abbreviated to Malwares are programs that are used to crash
computers and phones. These programs are also used to spy on users and capture the information
of a person and commit fraud. A variety of methods are used by the hackers to install these
programs on the devices without the consent of the user an aspect that leads to leaking of
information.
Underground forums enhance effectiveness of the cybercriminals. These are forums offered to
these criminals by the dark web markets to leash out their malwares. These dark markets are
operated as secret information of individuals are accessed and used.
Ransomware families decline is a situation whereby the protective information has depreciated in
its ability to protect the users from viruses and Trojans (Guo, Cheng & Kelley, 2016). The aspect
therefore leads to risky cyber and computer operations as well as use of mobile devices.
Fake applications have fueled up newly established threats. New apps are easily intertwined with
malware that infects the users devices with viruses which are able to commit fraud and misuse
the available information.
Installation of Anti-virus software will help to minimize the ability of the malware to invade
confidential information. At the same time any threats are detected and easily prevented.
Securing an organizations network is a very effective policy as it makes it difficult for viruses to
get supplied since one requires a password (Vinayakumar, Soman, Poornachandran, Kumar,
Thampi, El-Alfy Trajkovic 2018)to operate in the same network.
Enabling browser based controls is one of the most important technical advances that can be
used to secure data and keeping preventing malware investation.
Download screening will also help to minimize possible download of malware since each
download will be taken through a series of steps before it is installed into the device in use.
Conclusion
Malwares are programs which are able to commit fraud by manipulating data without the consent
of the owner. Can be prevented technically and through organizational policies implementation.
References
Guo, H., Cheng, H. K., & Kelley, K. (2016). Impact of Network Structure on Malware
Propagation: A Growth Curve Perspective. Journal of Management Information Systems,
33(1), 296325. https://doi.org/10.1080/07421222.2016.1172440
Vinayakumar, R., Soman, K. P., Poornachandran, P., Sachin Kumar, S., Thampi, El-Alfy, …
Trajkovic. (2018). Detecting Android malware using Long Short-term Memory (LSTM).
Journal of Intelligent & Fuzzy Systems, 34(3), 12771288. https://doi.org/10.3233/JIFS-
169424
.

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