Anomaly detection in wireless sensor networks: A survey
By Miao Xie, Song Han, B. Tian, S. Parvin. Journal of Network and Computer Applications, 2011
355 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/bc36143f51eb1a23b28eabb30af040f9f00a36b7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Peter Bailis
- D. Narayanan
- Min Chen
- Samuel Madden
- C. Lin
- Giancarlo Fortino
- Antonio Liotta
- Hung-Jen Liao
In Computer Networks and Communications
- Peter Bailis
- D. Narayanan
- Mousa T. Al-Akhras
- Min Chen
- Samuel Madden
- Mario Di Mauro
- C. Lin
- Giancarlo Fortino
Citations in the corpus
- Smart Anomaly Detection in Sensor Systems (2020, background): “[18], offering a review of anomaly detection techniques, specifically for Wireless Sensor Networks (WSNs).”
- WSN-DS: A Dataset for Intrusion Detection Systems in Wireless Sensor Networks (2016, background): “IDS allows detecting suspicious or abnormal activities and triggers alarms when intrusions are detected [26].”
- An intrusion detection and prevention system in cloud computing: A systematic review (2013, methodology): “Through the review of existing surveys [26-28], a list of criteria was collected to compare the detection techniques which are based on signature, anomaly or hybrid of these two methods.”
- MacroBase: Prioritizing Attention in Fast Data (2016, methodology): “roBase executes statistical models. Related work has examined modeling challenges in related domains (e.g., in data acquisition in sensor networks [18] and in-network sensor network anomaly detection [40,50]). In MacroBase, we seek to draw upon these prior successes and are motivated by the practica”
- Intrusion detection system: A comprehensive review (2013, methodology): “…O O – Â H/N B H Audit records, rule patterns from user profiles and policy Not easily created and updated Data Mining (Kabiri and Ghorbani, 2005; Patcha and Park, 2007; Xie et al., 2011; Murali and Rao, 2005; Lazarevic et al., 2005) mentioned technique are enumerated in other characteristics .”
- MacroBase: Analytic Monitoring for the Internet of Things (2016, background): “, in data acquisition in sensor networks [18] and in-network sensor network anomaly detection [40, 50]).”