Intrusion Detection Techniques for Mobile Wireless Networks

By Ian F. Akyildiz, Eylem Ekici, Gaofeng Yue. Wirel. Networks, 2003

861 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b52a7a146bb0e56c227493787eb81be3ce5e3ae2

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection (2016, background): “[7], which focuses more on dynamic changing network topology, routing algorithms,”
A survey of security issues in wireless sensor networks (2006, methodology): “The rule-based intrusion detection systems are used to detect known patterns of intrusions (e.g., [99] and [ 100 ]) while anomaly-based systems are used to detect new or unknown intrusions (e.g., [101] and [102]).”
A Survey of Intrusion Detection Systems in Wireless Sensor Networks (2014, methodology): “For instance, consider the application of agent based IDS of [10] to a clustered WSN.”
Classifier ensembles: Select real-world applications (2008, methodology): “Intrusion Detection in Mobile Ad-hoc Networks: The authors of [16,15] applied ensemble methods to intrusion detection in Mobile Ad-hoc NETworks (MANETs) [54,123,124].”
A framework for the evaluation of intrusion detection systems (2006, neutral): “Assume an ad hoc network scenario similar to [20, 36, 32, 4] where nodes monitor and distribute reputation values of other nodes’ behavior at the routing layer.”
A survey of security issues in mobile ad hoc and sensor networks (2005, background): “The history of security research has taught us a valuable lesson: no matter how many intrusion prevention measures are inserted in a network, there are always some weaknesses in the systems that one could exploit to break in [86].”
Mobile ad hoc networking: imperatives and challenges (2003, background): “A proposal for a new intrusion detection architecture that is both distributed and cooperative is presented in [295,296].”
A Survey on Intrusion Detection in Mobile Ad Hoc Networks (2007, methodology): “Some techniques are proposed to implement on top of the existing protocols [5, 6, 7], others are proposed as independent modules to be added on mobile nodes [1, 3, 4, 14, 16, 24].”
Collaborative Security (2015, methodology): “In [Zhang et al. 2003], if one node cannot conﬁrm whether one activity is an intrusion or not, it will share the state information of this suspicious behavior and wait for the opinions of other participants.”
A Survey of Random Forest Based Methods for Intrusion Detection Systems (2018, background): “…et al. 2010); (iv) Wireless network traffic – mainly features from the 802.11 protocol (Kumar and Dutta 2016; Sun et al. 2007; Zarpelão et al. 2017; Zhang et al. 2003); (ii) Application logs – HTTP Requests (Pham et al. 2016) and audit logs (Anderson et al. 1980; Tian et al. 2006); and (iii)…”
Network Intrusion Detection for IoT Security Based on Learning Techniques (2019, background): “Researches about NIDS for IoT demonstrate that there are mainly two axes of works: i) NIDS for Wireless Sensor Networks (WSN)3 [115] and ii) NIDS for IoT systems in general.”
URSA: ubiquitous and robust access control for mobile ad hoc networks (2004, background): “In [43], [44], each node matches its own movement and the corresponding changes in its own routing table against a trained classifier to detect anomaly.”
A Survey on Wireless Sensor Network Security (2009, methodology): “Rule-based intrusion detection systems are used to detect known patterns of intrusions as in [137] and [138].”