Ethical Computing for Data Protection

Ethical Computing for Data Protection

Wanbil W. Lee
Copyright: © 2020 |Pages: 16
DOI: 10.4018/IJT.2020010104
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Data protection is a chronic problem. Technology has had a social and ethical impact on our professional, social, and private lives. It is imperative for computing practitioners and researchers to link the ethical dilemmas and the technologies to the relevant ethical theories. This paper argues that the cause is rooted in our indifference to ethics—one doesn't take ethics as seriously into consideration as one should when formulating information security policies and protection standards—and proposes an ethics-based approach that can lessen the incidence of hacking or make hacking exasperate, aiming at mitigation rather than eradication. Central to this approach is ethical computing preconditioned on a sound understanding of the applicable theories of ethics and a shift of view of risk and ethics.
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The Symptoms

Spending on Security

Security budges rise exponentially and amount to millions of dollars. US Homeland Security Research reported that major financial institutions spent in 2016 US$1.5 billion on cybersecurity (US Homeland Security Research, 2016). PWC reported that UK organizations doubled spending on information security: on average £6.2m in 2016 compared to £3m in 2015 (CyLon, 2017). Gartner predicted worldwide spending on information security would reach $86.4 billion in 2017, and expected it to grow to $93 billion in 2018 (Bradley, 2017). Further, Gartner indicated that Hong Kong was to reach HK$3.5 billion this year, that mainland China to reach almost 23.9 billion yuan (HK$27.2 billion) and 27.3 billion yuan, respectively this year and in 2019, and that global spending to reach more than US$114 billion this year and to US$124 billion in 2019 (Bushell-Embling, 2018).

Ramifications of Cyberattacks

Cyberattacks culminate in conflicts at different levels and scales, ranging from individual victimization to nation-to-nation wars. The term, cyberwar, was initially coined for symbolizing conflicts between hackers from one country and targeted firms of another country (such as espionage campaigns) resulting in the theft of business information such as bid prices, contracts and information related to mergers and acquisition, for example, the US-China trade-based and military-oriented cyberespionage some years ago (Onag, 2018). The alleged Russian interference of the US general election in 2016 (The New York Times, 2018a) and the battle between UK and Russia over the tampering of Brexit voting (The New York Times, 2018b) are other examples of cyberwar.

Cyberwar is gradually used to denote conflicts at lower scales, between business organizations, interest-groups, etc. For example, “Blocking of Internet Advertising” is a battle between advertisers and users ad blockers (Wicker and Karlsson, 2017). The following three cases of cyber-ransom exemplify another type of cyberwar. First, WannaCry has hit computers from the UK’s National Health Service and infected dozens of computers every minute in mid-2017. Second, WannaMine took over computers around the world, hijacking them to mine a cryptocurrency called Monero early this year (The Telegraph, 2017). Third, a ransomware encrypted the files of infected users, and demanded payment for decryption of US$300 (HK$2,300) in bitcoins within three days, US$600 (HK$4,700) after the three-day deadline, and all the files would be permanently encrypted after one week (in Hong Kong on 15 May 2017) (Hong Kong Free Press, 2017).

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