HCOBASAA: Countermeasure Against Sinkhole Attacks in Software-Defined Wireless Sensor Cognitive Radio Networks
| Title | HCOBASAA: Countermeasure Against Sinkhole Attacks in Software-Defined Wireless Sensor Cognitive Radio Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Sejaphala, Lanka, Velempini, Mthulisi, Dlamini, Sabelo Velemseni |
| Conference Name | 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) |
| ISBN Number | 978-1-5386-3060-0 |
| Keywords | Base stations, change in position, Cognitive radio, Cognitive Radio Security, Communication system security, Databases, detection algorithms, HCOBASAA, Hop Count-Based Sinkhole Attack detection Algorithm, Performance Metrics, probability of detection, probability of false negative, probability of false positive, pubcrawl, resilience, Resiliency, sensor nodes, sink node, Sinkhole attack, software-defined wireless sensor cognitive radio network, telecommunication security, Wireless sensor networks |
| Abstract | Software-defined wireless sensor cognitive radio network is one of the emerging technologies which is simple, agile, and flexible. The sensor network comprises of a sink node with high processing power. The sensed data is transferred to the sink node in a hop-by-hop basis by sensor nodes. The network is programmable, automated, agile, and flexible. The sensor nodes are equipped with cognitive radios, which sense available spectrum bands and transmit sensed data on available bands, which improves spectrum utilization. Unfortunately, the Software-defined wireless sensor cognitive radio network is prone to security issues. The sinkhole attack is the most common attack which can also be used to launch other attacks. We propose and evaluate the performance of Hop Count-Based Sinkhole Attack detection Algorithm (HCOBASAA) using probability of detection, probability of false negative, and probability of false positive as the performance metrics. On average HCOBASAA managed to yield 100%, 75%, and 70% probability of detection. |
| URL | https://ieeexplore.ieee.org/document/8465449 |
| DOI | 10.1109/ICABCD.2018.8465449 |
| Citation Key | sejaphala_hcobasaa:_2018 |
- probability of false negative
- wireless sensor networks
- telecommunication security
- software-defined wireless sensor cognitive radio network
- Sinkhole attack
- sink node
- sensor nodes
- Resiliency
- resilience
- pubcrawl
- probability of false positive
- Base stations
- probability of detection
- Performance Metrics
- Hop Count-Based Sinkhole Attack detection Algorithm
- HCOBASAA
- detection algorithms
- Databases
- Communication system security
- Cognitive Radio Security
- cognitive radio
- change in position