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Cost of Denial of Services Attacks Data Center Performance Benchmark Series A Special Analysis for Emerson Network Power Independently conducted by Ponemon Institute LLC Publication Date: May 2016 Ponemon Institute© Research Report

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Page 1: Cost of Denial of Services Attacks - · PDF fileCost of Denial of Services Attacks ... The cost of DoS is trending upward. The average cost of a DoS attack in 2011 was $187,506 and

Cost of Denial of Services Attacks Data Center Performance Benchmark Series

A Special Analysis for Emerson Network Power Independently conducted by Ponemon Institute LLC Publication Date: May 2016

Ponemon Institute© Research Report

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Ponemon Institute© Research Report Page 1

Cost of Denial of Service Attacks

Ponemon Institute, May 2016 Part 1. Introduction We are pleased to present a special analysis of the cost of denial of service (DoS) attacks against data centers.1 DoS attacks occur when a criminal prevents legitimate users from accessing information or services.2 By targeting a company’s computers and its network connection an attacker can cause costly disruptions to operations and damage to its reputation and trustworthiness. We believe a better understanding of the cost of cyber crime and the consequences of DoS attacks helps organizations to determine the appropriate amount of investment and resources needed to address these threats. Ponemon Institute has analyzed the cost and causes of data center outages on behalf of Emerson Network Power on three separate occasions, publishing these findings in 2010, 2013 and 2016.3 In each study, we have seen an increase in the number of outages caused by security failures. As shown in Figure 1, findings from those three studies indicate DoS as a root cause of unplanned downtime has grown from 2 percent in 2010 to 22 percent in 2016. Additionally, in the 2013 Study on Data Center Outages, 34 percent of respondents said their company had experienced one or more security-related outages in the past two years.4 Emerson Network Power engaged the Ponemon Institute to provide further analysis on the cost of security-related outages. Our most recent benchmark report provided an activity-based costing analysis of 63 data center outages, of which 14 were related to security failures (such as cyberattacks).5 Of these, 10 caused full outages (with an average total cost of $1,080,000) and four were partial outages (with an average total cost of $734,000). We acknowledge that this is a very limited set of cost data on which to draw conclusions. Hence, we analyzed comparable benchmark data collected by Ponemon Institute that focused on DoS attacks using activity-based costing methods. In this report, we examined 273 separate DoS attacks benchmarked by Ponemon Institute. The source of this analysis is the Cost of Cyber 1See: 2015 Cost of Cyber Crime Study: United States (Sponsored by Hewlett Packard), Ponemon: Institute October 2015. 2This broad definition includes distributed denial of service (DDoS) attacks. 3See: Cost of Data Center Outages (Sponsored by Emerson Network Power), Ponemon Institute: January 2016. 4See: National Survey on Data Center Outages (Sponsored by Emerson Network Power), Ponemon Institute: September 2013. 5Ibid, Footnote 3.

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Ponemon Institute© Research Report Page 2

Crime Study: United States sponsored by Hewlett Packard (HP) and conducted over five years, from 2011 to 2015. The following are key takeaways regarding the costs and consequences of DoS attacks: § DoS attacks can be costly. Our research shows a wide variation or range in the cost of DoS

attacks, from a low of $14,000 to a high of $2.35 million per incident. § The cost of DoS is trending upward. The average cost of a DoS attack in 2011 was $187,506

and this increased to $255,470 in 2015. The average cost has been trending upward over time (i.e., 31 percent increase over five years).

§ Our benchmark sample reveals that 49 percent of DoS attacks caused a total or partial data

center outage. Thirty-two percent of organizations experienced a partial outage (i.e., one or more servers or racks were impaired) and 17 percent experienced a total unplanned outage.

§ We examined six preventive control characteristics that show differences between the outage

and non-outage groups. We found companies that withstand DoS attacks (non-outage group) are more likely to have a command and control governance structure, high data center redundancy, network intelligence tools, advance threat intelligence, well defined incident response plans and enterprise deployment of anti-DoS tools.

§ The cost of DoS is related to the existence of data center outages. An attack that causes total

outage results in an average DoS cost of $610,300. In contrast, DoS attacks that do not result in outages yield an average cost of only $36,800.

§ DoS attacks are more costly than other categories of cyberattacks, such as malicious

insiders, malicious code and web-based attacks. § Recovery and detection activities represent more than half of the total internal cost of a DoS

attack. Revenue losses and disruption to normal operations represent 53 percent of the average external cost consequence of a DoS attack.

§ Average DoS costs vary by industry. Organizations in financial services, technology and

software, utilities and energy and communications industries experience the highest average DoS costs. In contrast, public sector, services, hospitality and research industry sectors experience a much lower average cost.

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Ponemon Institute© Research Report Page 3

Part 2. Methods The research on the costs of cybercrime quantifies the economic impact of cyberattacks and presents cost trends over time. The goal of this research is to help organizations determine the appropriate amount of investment and resources needed to curtail the potentially devastating consequences of attacks such as DoS. Appendix 1 provides our benchmarking methodology. Ponemon Institute conducted the first Cost of Cyber Crime Study in the United States in 2010. This study has expanded to include companies in the United Kingdom, Germany, Australia, Japan, Russia and Brazil. This special analysis focuses on the cost of 273 separate DoS attacks studied and benchmarked by Ponemon Institute over a five-year period for U.S. organizations. Figure 2 reports the number of DoS attacks for each of the five years. Figure 2. Frequency of DoS attacks over five years

Figure 3 shows 16 industries included in our benchmark sample. Financial services, technology, public sector and industrial organizations represent the four largest segments. Figure 3. Industry segments in the combined sample

40 38

58 65

72

-

10

20

30

40

50

60

70

80

FY 2011 FY 2012 FY 2013 FY 2014 FY 2015

15%

13%

12%

11% 8%

8%

8%

8%

4%

4% 3% 2% 1% 1% Financial services

Technology Public sector Industrial Retail Healthcare Services eCommerce Consumer products Utilities & energy Transportation Hospitality Communications Education Research Media

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Ponemon Institute© Research Report Page 4

Figure 4 shows the distribution of the benchmark sample according to the full-time equivalent headcount, which is used as a surrogate for organizational size. As can be seen, 57 percent of the sample are larger-sized organizations with more than 10,000 employees. Only 5 percent represent smaller-sized organizations with less than 2,000 employees. Figure 4. Headcount of participating organizations in the combined sample

5%

16%

22%

25%

19%

13%

< 2,000

2,000 to 5,000

5,001 to 10,000

10,001 to 15,000

15,001 to 25,000

> 25,000

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Part 3. Key findings In this section we present an analysis of the key findings on the cost of DoS attacks. The appendix of this report discusses the cost of cyber crime benchmark framework. The following are highlights from the research: § Most DoS attacks are costly § The average cost of a DoS attack increased over five years § DoS attacks cause data center outages § There is a relationship between the cost and extent of data center outages § DoS attacks are far more costly than other cyberattacks § Most of the cost of a DoS attack is due to recover and detection activities § Revenue loss and disruption of operations are the primary consequences of a DoS attack § Certain industries have higher costs in the aftermath of a DoS attack Most DoS attacks are costly. Figure 5 shows the wide variation or range in the cost of DoS, from a low of $13,899 to a high of $2.35 million. The median is lower than the mean, which indicates slight skewing in our benchmark sample. Figure 5. Statistics on the mean, median and range of DoS cost Combined sample n=273

$2,350,000

$217,115 $202,344 $13,899

$-

$500,000

$1,000,000

$1,500,000

$2,000,000

$2,500,000

Maximum Mean Median Mininum

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Ponemon Institute© Research Report Page 6

The average cost of a DoS attack increased over five years. The five-year average cost of a DoS attack is $217,115 per attack. In 2011 the average cost was $187,506 and this increased to $255,470 in 2015 (which is a net increase of 31 percent over five years). These average costs include DoS attacks that resulted in a partial or total outage. The costs also include attacks that failed to shut down the data center. Figure 6 shows an approximate upward trend in the average cost of DoS over time.6 Figure 6. Average DoS cost over five years 5-year average cost = $217,115

6Please note that the Emerson study on the cost of unplanned outages shows total cost resulting from cyberattacks rising from $613,000 in 2010 to $981,000 in 2016, which is a net change of 43 percent over six years. These costs only pertain to successful attacks (i.e., those that shut down the data center).

$187,506 $172,238

$243,913 $226,449

$255,470

$-

$50,000

$100,000

$150,000

$200,000

$250,000

$300,000

FY 2011 FY 2012 FY 2013 FY 2014 FY 2015

Average DoS cost Average

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Ponemon Institute© Research Report Page 7

DoS attacks cause data center outages. Figure 7 summarizes the impact of DoS attacks according to three outcomes: no outage, partial outage and complete outage. As can be seen, nearly half our sample suffered a data center outage. Thirty-two percent of organizations experienced a partial outage (i.e., one or more servers or racks were impaired). Seventeen percent experienced a total outage. Figure 7. Impact of DoS attack on data center (outage) Combined sample n=273

There is a relationship between the cost and the extent of data center outages. Figure 8 shows the relationship between the extent of a data center outage and the costs incurred. A successful attack that causes complete or total outage results in an average total cost of $610,300. In contrast, DoS attacks that are unsuccessful have an average cost of $36,800. Figure 8. Average cost of DoS attacks by data center impact (outage) Combined sample n=273

51%

32%

17%

No outage

Partial outage

Total outage

$36,800

$302,920

$610,300

$-

$100,000

$200,000

$300,000

$400,000

$500,000

$600,000

$700,000

No outage Partial outage Total outage

DoS unit cost by impact on data center operations (over 5 years)

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Ponemon Institute© Research Report Page 8

What are the characteristics of data centers that withstand a total or partial outage following a DoS attack? Figure 9 reveals six preventive control characteristics that show differences between outage (49 percent) and non-outage (51 percent) groups. As can be seen, the non-outage group is more likely to have a command and control governance structure (Diff=14 percent); high data center redundancy (Diff=14 percent); network intelligence tools (Diff=11 percent); advance threat intelligence (Diff=12 percent); well defined incident response plans (Diff=6 percent); and enterprise deployment of anti-DoS tools (Diff=13 percent). Figure 9. Six preventive control characteristics Combined sample n=273

44%

44%

45%

47%

51%

60%

31%

38%

33%

36%

37%

46%

0% 10% 20% 30% 40% 50% 60% 70%

Enterprise deployment of anti-DoS tool

Well defined incident response plan

Advance threat intelligence

Network intelligence tools

High data center redundancy

Command and control governance structure

Outage Non-outage

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Ponemon Institute© Research Report Page 9

DoS attacks are far more costly than other cyberattacks. As shown in Figure 10, DoS attacks are more costly than other categories of cyberattacks, such as malicious insiders, malicious code and web-based attacks. Figure 10. Average cyber crime costs for nine categories Combined sample n=273

While DoS costs are higher than other cyber cost categories, other types of attacks, most notably phishing or other tactics that expose valuable data, can have huge cost implications for some organizations.7 For example, our cost of data breach report reveals an average cost of $217 per record lost or stolen, or a total average cost of $6.53 million for each data breach incident experienced by organizations. Our research shows mega breaches, such as those that happened to Target, Anthem and others involving one million or more compromised records, cause catastrophic losses for those companies that were breached.

7See: 2015 Cost of Data Breach Study: United States (Sponsored by IBM): Ponemon Institute, May 2015.

$1,019

$1,033

$1,599

$16,588

$23,470

$125,630

$164,500

$179,805

$255,470

$- $75,000 $150,000 $225,000 $300,000

Malware

Viruses, worms, trojans

Botnets

Stolen devices

Phishing & social engineering

Web-based attacks

Malicious code

Malicious insiders

Denial of service

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Most of the cost of a DoS attack is due to recover and detection activities. Figure 11 shows six high-level cost categories derived from activity-based costing (ABC) methods (see Appendix 1). Cost analysis was performed for two separate samples: (1) 273 DoS cases in the HP studies over 5 years and (2) 29 DoS cases in the Emerson studies over 6 years. Recovery and detection activities represent 56 and 55 percent of the total average cost of a DoS attack for the HP and Emerson samples, respectively. Figure 11. Percentage activity-based cost of a DoS attack HP sample n=273; Emerson sample n=29

34%

21% 19%

10% 7%

9%

30% 26%

16% 12%

8% 8%

0%

5%

10%

15%

20%

25%

30%

35%

40%

Recovery Detection Containment Investigation Ex-post response

Incident mgmt

Emerson studies HP studies

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Revenue loss and disruption of operations are the primary consequences of a DoS attack. Figure 12 presents five cost consequences that result from DoS attacks for the HP and Emerson samples. Revenue losses and disruption to normal operations represent 53 and 58 percent of the average cost of a DoS attack for the HP and Emerson samples, respectively. Figure 12. Percentage cost consequences of a DoS attack HP sample n=273; Emerson sample n=29

9%

14%

19%

31%

27%

11%

15%

21%

25%

28%

0% 5% 10% 15% 20% 25% 30% 35%

Damage or theft of IT assets

Technical support

Lost user productivity

Disruption to normal operations

Revenue losses

HP studies Emerson studies

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Certain industries have higher costs in the aftermath of a DoS attack. Figure 13 reports average DoS costs for 16 industry sectors. Organizations in financial services, technology and software, utilities and energy and communications industries experience the highest average DoS costs. In contrast, public sector, services, hospitality and research sectors experience a much lower average cost. Figure 13. Average DoS cost by industry sector ($000 omitted) Combined sample n=273

Conclusion For the first time, we have analyzed the financial consequences of DoS attacks against data centers. Based on the analysis, DoS attacks against data centers are costly and increasing over time. Further, they seem to be more costly than other categories of cyber attacks, such as malicious insiders, malicious code and web-based attacks. The challenge facing data centers is to have a security strategy that addresses the numerous threats that affect their finances and reputation. DoS attacks are just one of the threats that are highlighted in this report.

$119

$144

$146

$157

$178

$192

$203

$208

$217

$231

$234

$236

$264

$280

$321

$337

$- $100 $200 $300 $400

Public sector

Services

Hospitality

Research

Transportation

Media

Consumer products

Industrial

Healthcare

Education

Retail

eCommerce

Communications

Utilities & energy

Technology & software

Financial services

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Ponemon Institute© Research Report Page 13

Appendix 1. Cost of Cyber Crime Benchmark Framework The current report is a carve-out of a larger study sponsored by Hewlett Packard Enterprise published in October 2015.8 The purpose of this research is to provide guidance on what a successful cyberattack can cost an organization. Our cost of cyber crime study is unique in addressing the core systems and business process-related activities that drive a range of expenditures associated with a company’s response to cyber crime. In this study, we define a successful attack as one that results in the infiltration of a company’s core networks or enterprise systems. It does not include the plethora of attacks stopped by a company’s firewall defenses. Our benchmark methods attempt to elicit the actual experiences and consequences of cyberattacks. Based on interviews with a variety of senior-level members of each organization we classify the costs according to two different cost streams: § The costs related to dealing with the cybercrime, or what we refer to as the internal cost

activity centers.

§ The costs related to the consequences of the cyberattack or what we refer to as the external consequences of the cyberattack.

We analyze the internal cost centers sequentially—starting with the detection of the incident and ending with the ex-post or final response to the incident, which involves dealing with lost business opportunities and business disruption. In each of the cost activity centers, we asked respondents to estimate the direct costs, indirect costs and opportunity costs. These are defined as follows:

§ Direct cost: The direct expense outlay to accomplish a given activity.

§ Indirect cost: The amount of time, effort and other organizational resources spent, but not as a direct cash outlay.

§ Opportunity cost: The cost resulting from lost business opportunities as a consequence of reputation diminishment after the incident.

External costs, including the loss of information assets, business disruption, equipment damage and revenue loss, were captured using shadow-costing methods. Total costs were allocated to nine discernible attack vectors: viruses, worms, trojans; malware; botnets; web-based attacks; phishing and social engineering; malicious insiders; stolen and damaged devices; malicious code (including SQL injection); and denial of services.9 This study addresses the core process-related activities that drive a range of expenditures associated with a company’s cyberattack. The five internal cost activity centers in our framework include:10 § Detection: Activities that enable an organization to reasonably detect and possibly deter

cyberattacks or advanced threats. This includes allocated (overhead) costs of certain enabling technologies that enhance mitigation or early detection.

§ Investigation and escalation: Activities necessary to thoroughly uncover the source, scope and magnitude of one or more incidents. The escalation activity also includes the steps taken to organize an initial management response.

8Ibid, Footnote 1 9 We acknowledge that these nine attack categories are not mutually independent and they do not represent an exhaustive list. Classification of a given attack was made by the researcher and derived from the facts collected during the benchmarking process. 10 Internal costs are extrapolated using labor (time) as a surrogate for direct and indirect costs. This is also used to allocate an overhead component for fixed costs such as multiyear investments in technologies.

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§ Containment: Activities that focus on stopping or lessening the severity of cyberattacks or advanced threats. These include shutting down high-risk attack vectors, such as insecure applications or endpoints.

§ Recovery: Activities associated with repairing and remediating the organization’s systems and core business processes. These include the restoration of damaged information assets and other IT (data center) assets.

§ Ex-post response: Activities to help the organization minimize potential future attacks. These include containing costs from business disruption and information loss as well as adding new enabling technologies and control systems.

In addition to the above process-related activities, organizations often experience external consequences or costs associated with the aftermath of successful attacks – which are defined as attacks that infiltrate the organization’s network or enterprise systems. Accordingly, our research shows that four general cost activities associated with these external consequences are as follows: § Cost of information loss or theft: Loss or theft of sensitive and confidential information as a

result of a cyberattack. Such information includes trade secrets, intellectual properties (including source code), customer information and employee records. This cost category also includes the cost of data breach notification in the event that personal information is wrongfully acquired.

§ Cost of business disruption: The economic impact of downtime or unplanned outages that prevent the organization from meeting its data processing requirements.

§ Cost of equipment damage: The cost to remediate equipment and other IT assets as a

result of cyberattacks to information resources and critical infrastructure. § Lost revenue: The loss of customers (churn) and other stakeholders because of system

delays or shutdowns as a result of a cyberattack. To extrapolate this cost, we use a shadow costing method that relies on the “lifetime value” of an average customer as defined for each participating organization.

The cost of cyber crime benchmark instrument is designed to collect descriptive information from IT, information security and other key individuals about the actual costs incurred either directly or indirectly as a result of cyberattacks actually detected. Our cost method does not require subjects to provide actual accounting results, but instead relies on estimation and extrapolation from interview data over a four-week period. Cost estimation is based on confidential diagnostic interviews with key respondents within each benchmarked organization. Data collection methods did not include actual accounting information, but instead relied upon numerical estimation based on the knowledge and experience of each participant. Within each category, cost estimation was a two-stage process. First, the benchmark instrument required individuals to rate direct cost estimates for each cost category by marking a range variable defined in the following number line format.

How to use the number line: The number line provided under each data breach cost category is one way to obtain your best estimate for the sum of cash outlays, labor and overhead incurred. Please mark only one point somewhere between the lower and upper limits set above. You can reset the lower and upper limits of the number line at any time during the interview process.

Post your estimate of direct costs here for [presented cost category]

LL ______________________________________|___________________________________ UL

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The numerical value obtained from the number line, rather than a point estimate for each presented cost category, preserved confidentiality and ensured a higher response rate. The benchmark instrument also required practitioners to provide a second estimate for indirect and opportunity costs, separately. Cost estimates were then compiled for each organization based on the relative magnitude of these costs in comparison to a direct cost within a given category. Finally, we administered general interview questions to obtain additional facts, including estimated revenue losses as a result of the cyber crime. The size and scope of survey items was limited to known cost categories that cut across different industry sectors. In our experience, a survey focusing on process yields a higher response rate and better quality of results. We also used a paper instrument, rather than an electronic survey, to provide greater assurances of confidentiality. To maintain complete confidentiality, the survey instrument did not capture company-specific information of any kind. Subject materials contained no tracking codes or other methods that could link responses to participating companies. We carefully limited items to only those cost activities we considered crucial to the measurement of cyber crime cost to keep the benchmark instrument to a manageable size. Based on discussions with learned experts, the final set of items focused on a finite set of direct or indirect cost activities. After collecting benchmark information, each instrument was examined carefully for consistency and completeness. In this study, a few companies were rejected because of incomplete, inconsistent or blank responses. Field research was conducted over several months concluding in August 2015. To maintain consistency for all benchmark companies, information that was collected about the organizations’ cyber crime experience was limited to four consecutive weeks. This time frame was not necessarily the same time period as other organizations in this study. The extrapolated direct, indirect and opportunity costs of cyber crime were annualized by dividing the total cost collected over four weeks (ratio = 4/52 weeks).

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