Table 4 A descriptive statistical analysis of the surveyed IDSs in terms of the important performance metrics affecting IDS suitability in IoT systems
From: Intrusion detection systems for IoT-based smart environments: a survey
| Reference | TPR (%) | FPR (%) | Energy (J) | Processing time (s) | Performance overhead |
|---|---|---|---|---|---|
| Liu et al. (2011) [87] | - | - | - | - | - |
| Kasinathan et al. (2013) [88, 90] | MAX range | Zero | - | * | - |
| TP = (20-25) | |||||
| Jun and Chi (2014) [91] | * | * | - | MAX | MAX memory = 730 MB |
| 0.422 | MAX CPU = 62% | ||||
| Krimmling and Peter (2014) [92] | * | * | - | - | - |
| Butun et al. (2015) [93] | MAX range | at MAX TPR | - | - | - |
| (90-100) | Zero | ||||
| Surendar and Umamakeswari (2016) [82] | * | * | MAX range | - | * |
| for one node | |||||
| (0.09-0.1) | |||||
| Le et al. (2016) [83] | MAX | at MAX TPR | for one node | 120 | - |
| 100 | 6.78 | 0.12 | |||
| Bostani and Sheikhan (2017) [84] | MAX | at MAX TPR | - | - | |
| 100 | 2.98 | ||||
| Garcia-Font et al. (2017) [95] | MAX range | at MAX TPR | - | - | - |
| (50-60) | (25-30) | ||||
| Fu et al. (2017) [96] | * | * | - | * | - |
| Deng et al. (2018) [97] | 96.8 | 1.6 | - | * | - |
| Amouri et al. (2018) [99] | 100 | * | - | 3000 | - |
| Liu et al. (2018) [100] | MAX | 1.5 | - | MAX range | - |
| 97.4 | (0.5-0.6) | ||||
| Abhishek et al. (2018) [101] | MAX | at MAX TPR | - | - | - |
| 100 | 5.5 | ||||
| Oh et al. (2014) [102] | 100 | Zero | - | MAX at best | - |
| performance = 40 | |||||
| Summerville et al. (2015) [103] | MAX | * | - | - | - |
| 100 | |||||
| Mohan et al. (2016) [37] | * | * | - | - | - |
| Arrignton et al. (2016) [104] | * | * | - | - | - |
| Gupta et al. (2013) [105] | - | - | - | - | - |
| Raza et al. (2013) [106] | MAX range | at MAX TPR | for one node | 120 | Memory |
| (80-100) | Zero | 2.88 | 1.76 KB | ||
| Khan and Herrmann (2017) [107] | MAX | at MAX TPR | * | - | * |
| 100 | 1.1 |