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Table 5 Detection results of the temporal behavior characterization module for different values of \(rep^{\prime }\), with \(w^{\prime }\) 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

0.90

10

\(-0.56\)

61

50

30(99.00%)

187

131/132

Dataset-2

0.90

10

\(-0.42\)

194

158

120(98.48%)

193

–

Dataset-3

0.90

10

\(-0.28\)

436

336

192(98.85%)

464

2/3

Dataset-4

0.90

10

\(-0.44\)

461

336

184(97.75%)

317

–

Dataset-5

0.90

10

\(-0.11\)

262

213

176(98.99%)

564

1/6

Dataset-6

0.90

10

\(-0.25\)

292

234

148(98.36%)

283

11/55

Dataset-7

0.90

10

\(-0.31\)

513

380

174(99.01%)

285

1/2

Dataset-8

0.90

10

\(-0.28\)

626

481

306(97.77%)

507

–

Dataset-9

0.90

10

\(-0.50\)

125

78

32(99.75%)

121

–

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

0.90

50

\(-3.11\)

166

74

36(98.80%)

152

130/132

Dataset-2

0.90

50

\(-3.31\)

306

188

96(98.78%)

128

–

Dataset-3

0.90

50

\(-3.29\)

1012

393

164(99.02%)

177

0/3

Dataset-4

0.90

50

\(-3.43\)

741

356

133(98.37%)

165

–

Dataset-5

0.90

50

\(-2.42\)

811

417

234(98.65%)

273

0/6

Dataset-6

0.90

50

\(-3.13\)

617

302

106(98.82%)

126

6/55

Dataset-7

0.90

50

\(-3.42\)

1057

436

181(98.97%)

203

1/2

Dataset-8

0.90

50

\(-3.30\)

941

400

184(98.66%)

230

–

Dataset-9

0.90

50

\(-3.62\)

349

141

86(99.33%)

82

–