A survey of intrusion detection techniques in Cloud
By Chirag N. Modi, Dhiren R. Patel, Bhavesh Borisaniya, H. Patel, Avi Patel, Muttukrishnan Rajarajan. Journal of Network and Computer Applications, 2013
949 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/c9dbf8068d03b9ac6c5f02d40b75af182ca69699
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ansam Khraisat
- Nour Moustafa
- Benjamin P. Turnbull
- Saoussen Krichen
- Chaouki Khammassi
- Mohamed Mosbah
- Akka Zemmari
- Nadia Chaabouni
In Information Systems
- Aunn Raza
- Cláudio Toshio Kawakani
- Ansam Khraisat
- Mohammed Ali Al-Garadi
- A. Al-Ali
- Ala Al-Fuqaha
- Hunain Arif
- Amr M. Mohamed
Citations in the corpus
- Survey of intrusion detection systems: techniques, datasets and challenges (2019, background): “SIDS have also been labelled in the literature as Knowledge-Based Detection or Misuse Detection (Modi et al., 2013).”
- A survey of intrusion detection in Internet of Things (2017, background): “nologies related to IoT such as mobile ad hoc networks (MANETs) [27, 28, 29], wireless sensor networks (WSNs) [30, 31, 32], cloud computing [33] and cyber-physical systems [34].”
- Security and Privacy in Fog Computing: Challenges (2017, background): “SCADA [65], cloud [66], smart grid [67] etc.”
- A GA-LR wrapper approach for feature selection in network intrusion detection (2017, methodology): “…technique such as Fussy Logic (FL), Nave Bayse (NB) networks, K-Nearest Neighbor (KNN), Artificial Neural Network (ANN), Support Vector Machine (SVM), Logistic Regression (LR), etc. (Ahmed et al., 2016; Garcia-Teodoro et al., 2009; Ghorbani et al., 2009; Modi et al., 2013; Tsai et al., 2009).”
- Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges (2017, methodology): “Another application of unsupervised intrusion detection system for clouds is surveyed in [210], where fuzzy logic based intrusion detection system using supervised and unsupervised”
- A Survey of Fog Computing: Concepts, Applications and Issues (2015, background): “Intrusion detection Intrusion detection techniques have been applied to cloud infrastructures to mitigate attacks such as insider attack, flooding attack, port scanning, attacks on VM or hypervisor [33].”
- A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “Such attacks can be called insider attacks [96], which can introduce a critical trust issue when the cloud is integrated with IoT.”
- A Survey of Intrusion Detection Systems in Wireless Sensor Networks (2014, background): “• A survey of IDS in cloud computing is provided in [27], which would be helpful to secure next generation networks.”
- Security and Privacy Issues of Fog Computing: A Survey (2015, background): “Intrusion detection techniques are widely deployed in cloud system to mitigate attacks such as insider attack, flooding attack, port scanning, attacks on VM and hypervisor [23], or in smart grid system to monitor power meter measurements and detects abnormal measurements that could have been comprom”