Untitled
GB
Oct 4, 2022
CYBER-SECURITY INCIDENTS (CS_05)
Originally Coded as 1/2/9
## -----------------
## PhisingEmailCure
##
## 0 1
## 3711 230
##
## ----------------------------------
## PhisingTextCure
##
## 0 1
## 3825 116
##
## ----------------------------------
## PhisingEmailCERB
##
## 0 1
## 3686 255
##
## ----------------------------------
## PhisingTextCERB
##
## 0 1
## 3778 163
##
## ----------------------------------
## PhisingOther
##
## 0 1
## 2888 1053
##
## ----------------------------------
## Malware
##
## 0 1
## 3917 24
##
## ----------------------------------
## OtherMalware
##
## 0 1
## 3838 103
##
## ----------------------------------
## UnknownVideo
##
## 0 1
## 3895 46
##
## ----------------------------------
## IdentityFraud
##
## 0 1
## 3855 86
##
## ----------------------------------
## CardFraud
##
## 0 1
## 3763 178
##
## ----------------------------------
## EmailHacked
##
## 0 1
## 3820 121
##
## ----------------------------------
## CyberRansom
##
## 0 1
## 3813 128
##
## ----------------------------------
## OtherIncident
##
## 0 1
## 3691 250
##
## ----------------------------------
## NoIncident
##
## 0 1
## 1617 2324
##
## -----------------LOSSES EXPERIENCED DUE TO CYBER SECURITY INCIDENTS (CS_10)
Originally Coded as 1/2/6/9
## -----------------
## TimeLoss
##
## 0 1
## 1192 420
##
## ----------------------------------
## DataLoss
##
## 0 1
## 1568 44
##
## ----------------------------------
## CompDamage
##
## 0 1
## 1581 31
##
## ----------------------------------
## FinancialLoss
##
## 0 1
## 1557 55
##
## ----------------------------------
## OtherLoss
##
## 0 1
## 1568 44
##
## ----------------------------------
## NoLoss
##
## 0 1
## 483 1129
##
## -----------------REPORTING OF CYBER-SECURITY INCIDENTS (CS_15)
Originally Coded as 1/2/6/9
## -----------------
## rptCompany
##
## 0 1
## 1422 179
##
## ----------------------------------
## rptCredit
##
## 0 1
## 1404 197
##
## ----------------------------------
## rptISP
##
## 0 1
## 1536 65
##
## ----------------------------------
## rptPolice
##
## 0 1
## 1577 24
##
## ----------------------------------
## rptAFC
##
## 0 1
## 1572 29
##
## ----------------------------------
## rptSpam
##
## 0 1
## 1579 22
##
## ----------------------------------
## rptITDept
##
## 0 1
## 1498 103
##
## ----------------------------------
## rptOther
##
## 0 1
## 1555 46
##
## ----------------------------------
## rptNone
##
## 0 1
## 518 1083
##
## ----------------------------------
## rptOtherGovt
##
## 0 1
## 1582 19
##
## -----------------Work From Home (WFH) during COVID-19 (PCS_20)
Originally Coded as 1/2/9
## -----------------
## empDevNetwork
##
## 0 1
## 3078 848
##
## ----------------------------------
## empDevNoNet
##
## 0 1
## 3581 345
##
## ----------------------------------
## persDevNet
##
## 0 1
## 3350 576
##
## ----------------------------------
## persDevNoNet
##
## 0 1
## 3512 414
##
## ----------------------------------
## noWFH
##
## 0 1
## 1407 2519
##
## -----------------Compared to before COVID-19 … during the pandemic (CS_25)
Originally Coded as 1/2/3/4/9
## -----------------
## chgPasswords
##
## 1 2 3 4
## 421 2775 81 651
##
## ----------------------------------
## crtdStrongPswd
##
## 1 2 3 4
## 533 2667 72 640
##
## ----------------------------------
## updtdSoftware
##
## 1 2 3 4
## 348 2580 100 870
##
## ----------------------------------
## purchSecSoftware
##
## 1 2 3 4
## 119 1570 143 2029
##
## ----------------------------------
## setupMFA
##
## 1 2 3 4
## 352 1897 89 1519
##
## ----------------------------------
## chkSecured
##
## 1 2 3 4
## 549 2488 63 804
##
## ----------------------------------
## restrGeoLocation
##
## 1 2 3 4
## 802 2279 89 733
##
## ----------------------------------
## refusdPersonalData
##
## 1 2 3 4
## 794 2147 95 858
##
## ----------------------------------
## chdPrivacy
##
## 1 2 3 4
## 544 2457 71 820
##
## ----------------------------------
## readTermsCond
##
## 1 2 3 4
## 451 2701 68 684
##
## -----------------WHY did they CHANGE passwords during COVID-19 (CS_30A)
Originally Coded as 1/2/6/9
## -----------------
## chdPsdAwareness
##
## 0 1
## 125 294
##
## ----------------------------------
## chdPsdDrnWk
##
## 0 1
## 357 62
##
## ----------------------------------
## chdPsdAdvFrnFam
##
## 0 1
## 364 55
##
## ----------------------------------
## chdPsdIncd
##
## 0 1
## 338 81
##
## ----------------------------------
## chdPsdOther
##
## 0 1
## 382 37
##
## -----------------Why did they CREATE STRONG SOFTWARE during COVID-19 (CS_30B)
Originally Coded as 1/2/6/9
## -----------------
## crtdPsdAwareness
##
## 0 1
## 107 421
##
## ----------------------------------
## crtdPsdDrnwk
##
## 0 1
## 457 71
##
## ----------------------------------
## crtdPsdAdvFrnFam
##
## 0 1
## 454 74
##
## ----------------------------------
## crtdPsdIncd
##
## 0 1
## 451 77
##
## ----------------------------------
## crtdPsdOther
##
## 0 1
## 489 39
##
## -----------------Why did they UPDATE SOFTWARE during COVID-19 (CS_30C)
Originally Coded as 1/2/6/9
## -----------------
## updtdSftAwareness
##
## 0 1
## 134 211
##
## ----------------------------------
## updtdSftDrnwk
##
## 0 1
## 274 71
##
## ----------------------------------
## updtdSftAdvFrnFam
##
## 0 1
## 297 48
##
## ----------------------------------
## updtdSftIncd
##
## 0 1
## 311 34
##
## ----------------------------------
## updtdSftOther
##
## 0 1
## 281 64
##
## -----------------Why did they PURCHASE NEW/ADDITIONAL SECURITY SOFTWARE during COVID-19 (CS_30D)
Originally Coded as 1/2/6/9
## -----------------
## purchSftAwareness
##
## 0 1
## 41 76
##
## ----------------------------------
## purchSftDrnwk
##
## 0 1
## 101 16
##
## ----------------------------------
## purchSftAdvFrnFam
##
## 0 1
## 103 14
##
## ----------------------------------
## purchSftIncd
##
## 0 1
## 95 22
##
## ----------------------------------
## purchSftOther
##
## 0 1
## 103 14
##
## -----------------Why did they SET UP MFA during COVID-19 (CS_30E)
Originally Coded as 1/2/6/9
## -----------------
## setMFAAwareness
##
## 0 1
## 117 233
##
## ----------------------------------
## setMFASftDrnwk
##
## 0 1
## 253 97
##
## ----------------------------------
## setMFAAdvFrnFam
##
## 0 1
## 323 27
##
## ----------------------------------
## setMFAIncd
##
## 0 1
## 309 41
##
## ----------------------------------
## setMFAOther
##
## 0 1
## 313 37
##
## -----------------Why did they CHECK to ENSURE the WEBSITES were SECURE during COVID-19 (CS_30F)
Originally Coded as 1/2/6/9
## -----------------
## chkSecuredAwareness
##
## 0 1
## 84 462
##
## ----------------------------------
## chkSecuredDrnwk
##
## 0 1
## 496 50
##
## ----------------------------------
## chkSecuredAdvFrnFam
##
## 0 1
## 454 92
##
## ----------------------------------
## chkSecuredIncd
##
## 0 1
## 483 63
##
## ----------------------------------
## chkSecuredOther
##
## 0 1
## 508 38
##
## -----------------Why did they RESTRICT GEO LOCATIOn ACCESS COVID-19 (CS_30G)
Originally Coded as 1/2/6/9
## -----------------
## restrGeoAwareness
##
## 0 1
## 142 653
##
## ----------------------------------
## restrGeoDrnwk
##
## 0 1
## 763 32
##
## ----------------------------------
## restrGeoAdvFrnFam
##
## 0 1
## 682 113
##
## ----------------------------------
## restrGeoIncd
##
## 0 1
## 752 43
##
## ----------------------------------
## restrGeoOther
##
## 0 1
## 697 98
##
## -----------------Why did they REFUSE PERSONAL DATA ADVERTISEMENTS during COVID-19 (CS_30H)
Originally Coded as 1/2/6/9
## -----------------
## refsdDataAwareness
##
## 0 1
## 130 659
##
## ----------------------------------
## refsdDataDrnwk
##
## 0 1
## 765 24
##
## ----------------------------------
## refsdDataAdvFrnFam
##
## 0 1
## 682 107
##
## ----------------------------------
## refsdDataIncd
##
## 0 1
## 738 51
##
## ----------------------------------
## refsdDataOther
##
## 0 1
## 704 85
##
## -----------------Why did they CHANGE PRIVACY, LIMIT PERSONAL INFO during COVID-19 (CS_30I)
Originally Coded as 1/2/6/9
recode269Tab(‘chdPrvcyAwareness’, ‘chdPrvcyOther’)
Why did they READ TERMS & CONDITIONS during COVID-19 (CS_30J)
Originally Coded as 1/2/6/9
## -----------------
## readTermCondAwareness
##
## 0 1
## 75 375
##
## ----------------------------------
## readTermCondDrnwk
##
## 0 1
## 430 20
##
## ----------------------------------
## readTermCondAdvFrnFam
##
## 0 1
## 392 58
##
## ----------------------------------
## readTermCondIncd
##
## 0 1
## 411 39
##
## ----------------------------------
## readTermCondOther
##
## 0 1
## 412 38
##
## -----------------GROUPS YOU HELPED with DIGITAL TECHNOLOGY (CS_35)
Originally Coded as 1/2/9
## -----------------
## hlpdUnder10
##
## 0 1
## 3532 414
##
## ----------------------------------
## hlpdTeen
##
## 0 1
## 3606 340
##
## ----------------------------------
## hlpd19to64
##
## 0 1
## 2909 1037
##
## ----------------------------------
## hlpd65Older
##
## 0 1
## 3111 835
##
## ----------------------------------
## hlpdNonen
##
## 0 1
## 1782 2164
##
## -----------------Cyber Security practices discussed (CS_40)
Originally Coded as 1/2/6/9
## -----------------
## discSysUpdt
##
## 0 1
## 1407 371
##
## ----------------------------------
## discStrPswd
##
## 0 1
## 1110 668
##
## ----------------------------------
## discChngPswd
##
## 0 1
## 1467 311
##
## ----------------------------------
## discPvtPsd
##
## 0 1
## 1171 607
##
## ----------------------------------
## discSpotPhis
##
## 0 1
## 1117 661
##
## ----------------------------------
## discAvdMisInfo
##
## 0 1
## 1103 675
##
## ----------------------------------
## discShopSec
##
## 0 1
## 1360 418
##
## ----------------------------------
## discPvcyApp
##
## 0 1
## 1357 421
##
## ----------------------------------
## discSafeCam
##
## 0 1
## 1315 463
##
## ----------------------------------
## discOnlineInter
##
## 0 1
## 1324 454
##
## ----------------------------------
## discNone
##
## 0 1
## 1283 495
##
## -----------------BEHAVIOUR during SHOPPING ONLINE (PCS_45)
Originally Coded as 1/2/9
## -----------------
## noPersInfo
##
## 0 1
## 2683 1216
##
## ----------------------------------
## noCdtCard
##
## 0 1
## 2407 1492
##
## ----------------------------------
## onlyRptdSite
##
## 0 1
## 1314 2585
##
## ----------------------------------
## lowCrdtAmt
##
## 0 1
## 3166 733
##
## ----------------------------------
## thirdPartyPmt
##
## 0 1
## 3100 799
##
## ----------------------------------
## lookedHTTPS
##
## 0 1
## 2900 999
##
## ----------------------------------
## usedStrongPswd
##
## 0 1
## 2690 1209
##
## ----------------------------------
## noShopOnline
##
## 0 1
## 3054 845
##
## -----------------HOUSEHOLD USE OF THE FOLLOWing - How did it change (CPD_05)
Originally Coded as 1/2/3/4/9
## -----------------
## useSocMedia
##
## 1 2 3 4
## 1370 1953 126 495
##
## ----------------------------------
## useVideoStrm
##
## 1 2 3 4
## 1571 1594 88 679
##
## ----------------------------------
## useAudioStrm
##
## 1 2 3 4
## 827 1606 89 1385
##
## ----------------------------------
## usePrdctServcs
##
## 1 2 3 4
## 291 1303 74 2223
##
## ----------------------------------
## useOnfoServcs
##
## 1 2 3 4
## 1220 2386 39 285
##
## ----------------------------------
## useEduServcs
##
## 1 2 3 4
## 618 981 63 2241
##
## -----------------AMOUNT SPENT IN EACH of the FOLLOWING - How did it change (CPD_10)
Originally Coded as 1/2/3/4/9
## -----------------
## amtCmpts
##
## 1 2 3 4
## 1577 1724 64 581
##
## ----------------------------------
## amtPhones
##
## 1 2 3 4
## 1318 1699 73 846
##
## ----------------------------------
## amtSpectEntn
##
## 1 2 3 4
## 530 1299 884 1205
##
## ----------------------------------
## amtFoodDelvry
##
## 1 2 3 4
## 780 969 583 1603
##
## ----------------------------------
## amtVideoStrm
##
## 1 2 3 4
## 1524 1345 87 982
##
## ----------------------------------
## amtAudioStrm
##
## 1 2 3 4
## 704 1562 94 1555
##
## ----------------------------------
## amtTrnMaterls
##
## 1 2 3 4
## 611 1009 76 2226
##
## ----------------------------------
## amtExEqupmnt
##
## 1 2 3 4
## 542 1230 134 2021
##
## ----------------------------------
## amtDomAirTravel
##
## 1 2 3 4
## 16 247 1432 2229
##
## ----------------------------------
## amtIntAirTravel
##
## 1 2 3
## 195 1521 2205
##
## ----------------------------------
## amtHotel
##
## 1 2 3 4
## 72 403 1387 2054
##
## ----------------------------------
## amtInternet
##
## 1 2 3 4
## 1185 2398 51 296
##
## -----------------Cyber security related incidents
##
## 0 1
## 2324 1617##
## 0 1 2 3 4 5 6 7 8 12
## 2324 965 382 156 65 24 13 6 4 2
Losses from Cyber security related incidents
##
## 0 1
## 1129 483##
## 0 1 2 3 4 5
## 1129 402 58 18 3 2
Reporting of Cyber security related incidents
##
## 0 1
## 1083 518##
## 0 1 2 3 4 5 6 7
## 1083 397 92 21 3 3 1 1
Demographic variables
## -----------------
## HouseholdSize
##
## 1 2 3 4 5
## 1138 2272 356 155 40
##
## ----------------------------------
## AgeGroup
##
## 1 2 3 4 5 6 7
## 167 474 643 624 925 824 304
##
## ----------------------------------
## isCanadaBorn
##
## 0 1
## 685 3276
##
## ----------------------------------
## isMale
##
## 0 1
## 2132 1829
##
## ----------------------------------
## Under18
##
## 0 1
## 3042 919
##
## ----------------------------------
## MaritalStatus
##
## 1 2 3 4
## 2059 424 666 812
##
## ----------------------------------
## dwellingType
##
## 1 2 3 4
## 2651 436 257 617
##
## ----------------------------------
## highestEd
##
## 1 2 3 4 5 6 7
## 206 761 351 929 141 1004 569
##
## ----------------------------------
## isRural
##
## 0 1
## 3128 833
##
## -----------------## Is living alone##
## 0 1
## 2483 1478Some regression models
##
## Call:
## glm(formula = isRpt ~ sumLoss + sumIncd + HouseholdSize + isCanadaBorn +
## highestEd + isMale + isAlone + isRural, family = binomial,
## data = df)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.0866 -0.7840 -0.7232 1.1903 1.9470
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.318607 0.320969 -4.108 3.99e-05 ***
## sumLoss 0.950254 0.097533 9.743 < 2e-16 ***
## sumIncd 0.157679 0.052184 3.022 0.00251 **
## HouseholdSize -0.148799 0.081257 -1.831 0.06707 .
## isCanadaBorn 0.227439 0.156720 1.451 0.14671
## highestEd 0.007299 0.030924 0.236 0.81341
## isMale -0.020235 0.113375 -0.178 0.85835
## isAlone -0.078317 0.134500 -0.582 0.56037
## isRural 0.175233 0.148920 1.177 0.23932
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 2011.9 on 1597 degrees of freedom
## Residual deviance: 1860.1 on 1589 degrees of freedom
## (2363 observations deleted due to missingness)
## AIC: 1878.1
##
## Number of Fisher Scoring iterations: 4##
## Call:
## glm(formula = sumRpt ~ sumLoss + sumIncd + HouseholdSize + isCanadaBorn +
## highestEd + isMale + isAlone + isRural, family = poisson,
## data = df)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.9645 -0.8194 -0.7718 0.5782 3.7115
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.398917 0.208829 -6.699 2.1e-11 ***
## sumLoss 0.531823 0.044453 11.964 < 2e-16 ***
## sumIncd 0.089600 0.027085 3.308 0.000939 ***
## HouseholdSize -0.060839 0.052856 -1.151 0.249717
## isCanadaBorn 0.176101 0.106619 1.652 0.098599 .
## highestEd 0.010952 0.020791 0.527 0.598351
## isMale 0.006348 0.077110 0.082 0.934394
## isAlone -0.029055 0.088387 -0.329 0.742363
## isRural 0.091375 0.100714 0.907 0.364260
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for poisson family taken to be 1)
##
## Null deviance: 1684.9 on 1597 degrees of freedom
## Residual deviance: 1455.3 on 1589 degrees of freedom
## (2363 observations deleted due to missingness)
## AIC: 2596.3
##
## Number of Fisher Scoring iterations: 6##
## Call:
## glm(formula = isLoss ~ sumIncd + HouseholdSize + isCanadaBorn +
## highestEd + isMale + isAlone + isRural, family = binomial,
## data = df)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.5771 -0.8282 -0.7044 1.2671 1.8045
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.52103 0.30815 -4.936 7.97e-07 ***
## sumIncd 0.40525 0.04991 8.120 4.68e-16 ***
## HouseholdSize 0.07449 0.07522 0.990 0.32208
## isCanadaBorn -0.46702 0.14489 -3.223 0.00127 **
## highestEd 0.01217 0.03075 0.396 0.69235
## isMale 0.08141 0.11277 0.722 0.47032
## isAlone 0.24092 0.13050 1.846 0.06487 .
## isRural 0.05485 0.15079 0.364 0.71603
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1968.4 on 1611 degrees of freedom
## Residual deviance: 1880.6 on 1604 degrees of freedom
## (2349 observations deleted due to missingness)
## AIC: 1896.6
##
## Number of Fisher Scoring iterations: 4##
## Call:
## glm(formula = sumLoss ~ sumIncd + HouseholdSize + isCanadaBorn +
## highestEd + isMale + isAlone + isRural, family = poisson,
## data = df)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -3.5453 -0.8163 -0.7198 0.6576 2.9550
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.660346 0.219919 -7.550 4.36e-14 ***
## sumIncd 0.284554 0.019868 14.322 < 2e-16 ***
## HouseholdSize 0.083415 0.051413 1.622 0.10470
## isCanadaBorn -0.293849 0.101107 -2.906 0.00366 **
## highestEd 0.009867 0.022392 0.441 0.65945
## isMale 0.082997 0.082896 1.001 0.31672
## isAlone 0.201374 0.093133 2.162 0.03060 *
## isRural 0.049076 0.113511 0.432 0.66549
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for poisson family taken to be 1)
##
## Null deviance: 1531.0 on 1611 degrees of freedom
## Residual deviance: 1368.7 on 1604 degrees of freedom
## (2349 observations deleted due to missingness)
## AIC: 2410.9
##
## Number of Fisher Scoring iterations: 6##
## Call:
## glm(formula = isIncd ~ HouseholdSize + isCanadaBorn + isMale +
## highestEd + isAlone + isRural, family = binomial, data = df)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.3057 -1.0387 -0.8984 1.2617 1.7053
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.31993 0.17729 -7.445 9.70e-14 ***
## HouseholdSize 0.11501 0.04751 2.421 0.015490 *
## isCanadaBorn 0.20054 0.08834 2.270 0.023193 *
## isMale 0.06465 0.06584 0.982 0.326163
## highestEd 0.12925 0.01805 7.159 8.14e-13 ***
## isAlone 0.10152 0.07776 1.306 0.191666
## isRural -0.31292 0.08406 -3.722 0.000197 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 5335.9 on 3940 degrees of freedom
## Residual deviance: 5256.8 on 3934 degrees of freedom
## (20 observations deleted due to missingness)
## AIC: 5270.8
##
## Number of Fisher Scoring iterations: 4##
## Call:
## glm(formula = sumIncd ~ HouseholdSize + isCanadaBorn + isMale +
## highestEd + isAlone + isRural, family = poisson, data = df)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.4468 -1.1919 -1.0599 0.3548 6.9670
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.79289 0.10139 -7.820 5.28e-15 ***
## HouseholdSize 0.10119 0.02590 3.907 9.36e-05 ***
## isCanadaBorn 0.08061 0.05138 1.569 0.117
## isMale 0.02020 0.03836 0.527 0.598
## highestEd 0.04198 0.01049 4.002 6.29e-05 ***
## isAlone 0.06611 0.04450 1.486 0.137
## isRural -0.25509 0.05208 -4.898 9.67e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for poisson family taken to be 1)
##
## Null deviance: 5865.1 on 3940 degrees of freedom
## Residual deviance: 5804.7 on 3934 degrees of freedom
## (20 observations deleted due to missingness)
## AIC: 9604.5
##
## Number of Fisher Scoring iterations: 6