The topic has a primary objective of exploring the aspect of human attributes and social engineering in relation to data and systems attacks. Attacks on data and databases have become common in the modern world of digitalization. These kinds of attacks involve hacking of data and its systems (Ceccato et al., 2019). The hacking of databases is interfering with the data of users, hence being a threat to their data security and privacy. Data attacks can be defined as the act in which data attackers or other threat agents exploit the vulnerability of an organization’s databases with the aim of stealing or destroying its information. The cases of data attacks and cyber hacking keep growing with the advancements in technology (Hayes, 2017). However, computer scientists and other experts have formulated effective measures of managing data and database attacks. Social engineering is a key aspect in the understanding of data attacks. It entails the use of social skills to persuade people to disclose access credentials and other crucial information to hackers. There are various human attributes that trigger data attackers to exploit their hacking skills. Intelligence, adaptivity, and creativity are the main human attributes that define the skills used by data attackers to hack data and databases.
Hacking skills portray the levels of intelligence of the data attackers. Attacking an organization’s data systems is not simple folks but an action that requires high levels of intelligence. Data hackers are intelligent people with strong technical skills in computer science (Ceccato et al., 2019). They utilize their advanced skills in IT to evaluate the vulnerability in the target databases. Consequently, they explore their programming knowledge in attacking and compromising the data contained in those systems. Data attackers also possess advanced knowledge of architecture and network design (Hayes, 2017). They are generally much talented in the field of digital operations. It is true that data attackers can be strong agents of data security if only they could exploit their advanced knowledge in doing positive things. However, data hackers exploit their strong intelligence for destructive purposes to threaten the world of digitalization. Without a doubt, not any person who can hack and attack data systems. Therefore, intelligence in computer science is the fundamental human attribute that aids in the understanding of data attacks.
Adaptivity holds as an important human attribute in the understanding of data attacks. Besides relying on their digital intelligence, data attackers can effectively adapt to technology. They keep themselves flexible enough to upgrade their skills towards adapting the new trends in the IT and computer. One of the key trends in computer science is cloud computing which has enhanced the security of databases. However, data hackers are adopting technology and scrutinizing the possible weaknesses of the systems (Hayes, 2017). Adaptivity enables hackers to b identify the weaknesses of data systems and the possible ways of attacking the databases. The attribute of adaptivity explains the reason why data hacking remains a key threat to digitalization despite the efforts to curb the issue.
Creativity is a key attribute that defines the strength of a data attacker. Data and database attackers are not only intelligent and highly adaptive, but also creative individuals. It takes creativity to develop advanced trends in the digital world. However, data attackers also employ their creativity in endorsing advanced ways of hacking data and databases (Ceccato et al., 2019). Hackers are so creative that they can create worms and viruses aimed at attacking the security and integrity of data. For example, data attackers have developed Trojan horses to be used for hacking data and systems. Data attackers venture their creativity in scrutinizing the weaknesses of data systems with the aim of identifying the possible ways of compromising data integrity.
Hayes, J. (2017). The human behind the hack. Engineering & Technology, 12(3), 26-29.
Ceccato, M., Tonella, P., Basile, C., Falcarin, P., Torchiano, M., Coppens, B., & De Sutter, B. (2019). Understanding the behaviour of hackers while performing attack tasks in a professional setting and in a public challenge. Empirical Software Engineering, 24(1), 240- 286.
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