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Data security % 100


20 40 60 80


0


Online payment security


Mis-use of personal data


Unauthorised access to account


CYBER INCIDENTS BY SECTOR: 2017 Number of reported


FIGURE 41: % of incidents incidents


1,000 1,500 2,000 2,500 25,000


500 0


100


20 40 60 80


0 Source: Verizon Cyber


10 20 30 40 50 60 70 80


0


FIGURE 44: CYBER BREACHES Aim of


breaches breaches


10 20 30 40 50 60 70 80


0


10 20 30 40 50


0


Breach methods


10 15 20


0 5


Affects of breaches


Source: Verizon resulting in breaches


10 15 20 25 30


0 5


Personal data insecurely stored


shared with third parties


Data


FIGURE 39: CONCERNS ABOUT DATA SECURITY, BY MARKET


Germany France UK


Italy Spain US


Source: Ofcom 2017 BREACHES BY TYPE % RETAIL CYBER FIGURE 42:


10 20 30 40 50 60


0 FIGURE 40: DATA SECURITY


CONCERN, BY THREAT Across nine markets


%


20 40 60 80


0 All


respondents Use


connected device


Base: 9,000-plus respondents in Germany, France, UK, Italy, Spain, Sweden, US, Japan, Australia


Source: Ofcom 2017


CYBERATTACKS By


FIGURE 43:


organisation size


%


Breaches by organisation size


10 20 30 40 50


0 Source: Verizon


FIGURE 45: CYBER BREACHES BY TYPE All business sectors


10 15 20 25 30 35 40


0 5


10 15 20


0 5


Source: Verizon


DATA security is of increasing concern. Consumers across the EU show significant levels of concern about security of payments and personal data (Figures 39 & 40). The rate of cyber breaches in relation to attacks appears alarmingly high in the accommodation and retail sectors (Figures 41 & 42) and among smaller firms (figure 43). The rate at which points of sale are compromised by attacks also appears high (Figure 45).


Source: Verizon


Travel Weekly Europe Report 2018 | 35


By outsiders


By organised crime By internal actors


Took months to discover Involved accommodation/F&B Affected small businesses


Financially motivated ‘Espionage’


Hacking Malware Phishing


Human error Privilege misuse


Database User device


Point-of-sale terminal Point-of-sale server Web app


14%


Denial of service Privilege misuse Crimeware


Web application Lost or stolen assets User error Espionage


Point of sale Payment card skimmer 9% 7% 4% 1% 0.6% 0.25%


Denial of service Privilege misuse Crimeware


Web application Lost or stolen assets User error Espionage


Point of sale Payment card skimmer 5% 0% 12% 6% 19% 7% 16% 8% 15%


Large Small


Unclassified 25% 34% 41%


Large Small


Unclassified 46% 2% 52% 40% 20% 17%


Denial of service Privilege misuse Crimeware


Web application Lost or stolen assets User error


Cyber espionage Point of sale


Payment card skimmer 27% 3% 8% 23% 2% 3% 0% 3% 26% 61% 67%


67% 66% 63% 62%


73% 72% 69% 69%


15% 58% 76% 13% 48% 30%


17% 17%


12% 20% 17%


16% 16%


Public services Healthcare Financial


Professional services Accommodation Retail


Transport Utilities


1% 71%


24% 24%


92% 53% 31% 39% 54% 53% 55% 69% 67% 73% 58%


68% 67%


78% 70% 79% 50% 28% 68%


73%


Public services Healthcare Financial


Professional services Accommodation Retail


Transport Utilities


59 46


57% 62% 68%


70% 73%


83% 22,788 750 598 540 368 317


47% 56% 63%


69% 71%


61% 67% 69%


73% 72%


82% 79%


payments Online personal data Mis-use


Access to account


Data stored insecurely


Unauthorised data sharing


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