Cyberterrorism In Healthcare

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Background

The expansion of the Internet and availability of information online has lead to an equivalent expansion in cyber crime, or cyber terrorism. In fact, in 2013 the Office of Cyber Security and Information Assurance reported that “93% of large corporations and 87% of small business reported some form of cyber breach in 2012” (Brewer, 2014). Also, President Obama labeled cyberthreats as an incredibly serious economic and national security challenge (Artlisch and Edelman, 2014).

Cyber crime presents itself as an arduous task to solve given the dynamics of cyber space. Even though cyber security and culture began to take form around the same time as cyber crime, cyber crime is advancing much quicker, which creates a multitude of problems
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However, healthcare presents itself as a prime target for attacks. In the United States alone, the industry accounted for 17% of GDP in 2009, or $2.5 trillion, and the distribution and use of information systems is extensive (Harries and Yellowlees, 2013). In studies by the Ponenom Institute in 2012 and 2013, 90% of healthcare organizations saw their patients ' data exposed or stolen in some form (Conn, 2015).

This report serves to examine the challenges of generating resilient cyber security strategies and to provide recommendations for how major healthcare corporations can effectively mitigate cyber attacks and keep their information safe.

Problems with Cyber Security in
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However, managers need to gain insight on cybersecurity evaluation and use various models to triangulate and decide on the best investment strategy (Pfleeger and Rue, 2008). Using cost-benefit analysis can decrease some uncertainty in cyber security investments and lead to better returns on investment.

For example, the Table Top Approach can dramatically assist companies in their valuation of cyber security investments. This approach uses a matrix layout to compare cyber-event effects in monetized and non-monetized expenditures in order to develop measures of return that compare competing countermeasure investments that protect against various cyber event types (Trojans, malware, SQL injections, etc.) vs. actions taken against them such as prevention, detection, or quarantining (Garvey, Moynihan, Servi, 2012). After completing the table, the approach employs “advanced search algorithms to derive ideal sets of costs benefit investments” that measure cost-benefit return, “net cost savings per dollar invested”, and “net percent reduction

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