Skip to main content

Table 4 Detection results of the temporal behavior characterization module for different values of \(w^{\prime }\), with \(rep^{\prime }\) fixed

From: Detecting compromised email accounts via login behavior characterization

Dataset

w′

Top % of all reputation values (%)

rep′

Subnets in suspicious area

Subnets after vertical filtering

Subnets after horizontal filtering (% decrease from the total count)

Associated accounts

Detection rate

Dataset-1

0.85

30

\(-1.83\)

100

49

22(99.26%)

31

15/132

Dataset-2

0.85

30

\(-1.87\)

203

127

78(99.01%)

100

–

Dataset-3

0.85

30

\(-1.79\)

649

259

106(99.37%)

135

0/3

Dataset-4

0.85

30

\(-1.93\)

529

275

107(98.69%)

142

–

Dataset-5

0.85

30

\(-1.27\)

427

240

141(99.19%)

217

1/6

Dataset-6

0.85

30

\(-1.69\)

420

216

77(99.15%)

109

4/55

Dataset-7

0.85

30

\(-1.86\)

676

300

102(99.42%)

136

1/2

Dataset-8

0.85

30

\(-1.79\)

679

302

150(98.91%)

193

–

Dataset-9

0.85

30

\(-2.06\)

164

68

35(99.73%)

94

–

Dataset-1

0.90

30

\(-1.83\)

134

65

31(98.96%)

153

130/132

Dataset-2

0.90

30

\(-1.87\)

265

168

100(98.73%)

117

–

Dataset-3

0.90

30

\(-1.79\)

790

346

139(99.17%)

184

0/3

Dataset-4

0.90

30

\(-1.93\)

641

360

142(98.26%)

181

–

Dataset-5

0.90

30

\(-1.27\)

534

318

194(98.88%)

299

1/6

Dataset-6

0.90

30

\(-1.69\)

517

288

117(98.70%)

154

7/55

Dataset-7

0.90

30

\(-1.86\)

834

394

145(99.17%)

178

1/2

Dataset-8

0.90

30

\(-1.79\)

825

399

197(98.56%)

248

–

Dataset-9

0.90

30

\(-2.06\)

243

105

62(99.51%)

119

–

Dataset-1

0.95

30

\(-1.83\)

178

91

43(98.56%)

170

130/132

Dataset-2

0.95

30

\(-1.87\)

366

255

146(98.15%)

148

–

Dataset-3

0.95

30

\(-1.79\)

1000

495

188(98.87%)

223

0/3

Dataset-4

0.95

30

\(-1.93\)

790

487

207(97.47%)

231

–

Dataset-5

0.95

30

\(-1.27\)

705

438

275(98.42%)

379

1/6

Dataset-6

0.95

30

\(-1.69\)

666

399

188(97.92%)

210

13/55

Dataset-7

0.95

30

\(-1.86\)

1053

544

215(98.77%)

236

1/2

Dataset-8

0.95

30

\(-1.79\)

1022

527

265(98.07%)

362

–

Dataset-9

0.95

30

\(-2.06\)

372

195

105(99.18%)

153

–