Viruses are a class of malware designed to disrupt, damage, steal data, and networks. File viruses insert malicious codes into the executable files on a computer and cause irreversible damage when the infected file is opened. Ones a single file is infected, the virus spreads to other programs that use the infected file. Boot viruses infect the Master Boot Record of a computer’s hard drive. Booting a system from an infected disk makes the infected code to run ( Sikora & Zelinka, 2018 ). Boot sector viruses use DOS commands to spread to other hard drives connected to the infected computer system. Macro viruses replace or interfere with the normal running of the set of commands applied by programs in their performance. Microsoft Excel was identified as the computer program commonly affected by the macro virus. Lastly, network viruses are a unique type of malware that spreads from one computer system to another without dropping a file-based copy for faster identification. Chameleon is the most common network virus, which was common on WIFI networks with least or no protection. A virus is a computer program designed, using special techniques, to invade a computer system without the knowledge of the user. The virus then reproduces itself throughout the whole system damaging the computer’s functioning, either partially or permanently. A virus hoax is a false computer virus warning. The warning, in most instances, reaches the user via an email note or is dispersed by a note in the system of an organization ( Setyawan, 2020 ). The hoaxes usually harmless to the system and therefore accomplish nothing when their suggestions and recommendations are not followed. However, adhering to computer hoaxes can wrongly direct the users into deleting important files, which can damage the computer system.
References
Setyawan, I. (2020). Factors Causing the Spread of Hoax News Via Social Media in Village Communities. Electronic Research Journal of Social Sciences and Humanities , 2 , 223-231.
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Sikora, L., & Zelinka, I. (2018). Swarm Virus, Evolution, Behavior and Networking. In Evolutionary Algorithms, Swarm Dynamics and Complex Networks (pp. 213-239). Springer, Berlin, Heidelberg.
