Malware and harmful software
Who is responsible for protecting users against harmful software?
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- Age variation
- Appendixes
- Statistical reliability of the quantitative results
Who is responsible for protecting users against harmful software?Those who had a home computer or a mobile device were asked who is ‘most responsible’ for protecting their computer and mobile devices against harmful software and viruses. See Figure 19. Over three-quarters (77 per cent) reported the individual user as being the most responsible. A further one in ten (nine per cent) suggested that their ISP was most responsible, and a small group (eight per cent) identified the computer software provider or supplier. The government was mentioned by three per cent. Those who were able to identify who they thought was most responsible for protecting their computer or mobile device from harmful software and viruses were then asked who else is responsible. This is also shown in Figure 19 as ‘also responsible’. While three per cent said that it was firstly the government’s responsibility, a further 19 per cent identified some responsibility for government. Overall, nine in ten (90 per cent) indicated that the individual user was responsible for protecting their computer and mobile devices against harmful software and viruses, followed by ISPs (57 per cent), computer software providers (45 per cent), and the government (22 per cent). Figure Views on who is responsible for protecting computers and mobile devices against harmful software and viruses Total = 3% Total = 22% Total = 45% Total = 57% Total = 90% Q54. In your opinion, who is most responsible for protecting your computer and mobile devices against harmful software and viruses? Q55. Who else, if anyone else, do you think is responsible? Base: Respondents who use the internet for personal purposes (n=1,252) Most internet users (82 per cent) indicated that responsibility for the protection of computers is shared between two or more players, while 13 per cent mentioned one player as solely responsible (almost all of these people reported that the individual user is solely responsible), and five per cent said they did not know who is responsible. See Figure 20.
Age variationInternet users aged 25–34 years were most likely to report individual users as most responsible for protecting their computers and mobile devices (85 per cent). Those aged 65 years or over were least likely to report this (67 per cent). Internet users aged 50 years and over were more likely than the other age groups to report ISPs as being most responsible for protecting computers against harmful software (13 per cent of the 50–64 age group and 15 per cent of 65+ age group).
During the focus groups, participants were asked about the role of their ISP in protecting them from harmful software. Most were unsure about the role played by ISPs in protecting computers and mobile devices and whether ISPs should be responsible in providing such protection. I think they manage your email account, because your email is going to Telstra first and I think they go through it to a certain extent, pulling out your spam, but if they miss it they will send it onto you, but I am not aware of them having any other sort of antivirus packages through Telstra or anything like that (aged 35+). They just give you the service and that is it (aged 18–34). I don’t think they should be responsible. I don’t think it is them, they’re just
They’re just providing a connection (aged 18–34). Some other participants, however, agreed that ISPs should provide some sort of protection. I think [they should provide some sort of protection from viruses] to keep their customers happy, especially if you’re infected … it is in their interest I think. My spam filtering comes from Optus on my Optus account, so that is a good thing (aged 35+).
Privacy is always a concern; it is just the world we live in now (aged 35+). If there is a user who is constantly sending out viruses then they might want to have that information to hand, but there has to be some sort of stop as to where they stop collecting information about people (aged 35+). They can possibly access other information (aged 18–34). I think if you rang them saying I have got reliability issues and there was a test they could run then that would be understandable, but not just there in the background lingering around what is going on (aged 18–34).
Appendix A—Survey design and methodologyThe main objective of the main quantitative survey phase was to obtain robust estimates of Australian consumers’ experiences with unsolicited telemarketing calls and email and SMS spam. A total of 1,500 computer-assisted telephone interviews (CATI) were conducted, with Australian residents aged 18 years and older. The sample was designed as a quota sample to ensure that survey coverage was representative of the Australian population aged 18 years or older in terms of age, gender and geographic characteristics. The sample design also included the increasing proportion of people who do not have a fixed-line phone but do have access to a mobile phone. Mobile phone only users were separately recruited from the Roy Morgan Single Source database.4 The sample comprised two main subsamples: respondents with a fixed-line home phone connected (n=1,207), sourced through Random Digit Dialling (RDD) respondents with mobile phones only—that is, had a mobile phone and no fixed-line phone connected in the home (n=293), sourced through re-contact of respondents from the Roy Morgan Single Source database.
If the sample size was 1,500 a response set of 50 per cent has a SE of +/–2.5 per cent at a 95 per cent confidence level (that is, there are 95 chances in 100 that a repeat survey would produce a response set of between 52.5 and 47.5 per cent). If there were 500 respondents to a question and 50 per cent gave a particular response, then the SE for that response is +/–4.4 per cent. Where the RSE is between 30 and 49 per cent, results should be regarded as moderately reliable. Where the RSE is 50 per cent or higher, results should be regarded as indicative estimates only. For results based on the total study sample of n=1,500, this sample size constrains the maximum sampling error to +/–2.5 per cent.
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