A survey of data mining and social network analysis based anomaly detection techniques

Kaur, Ravneet; Singh, Sarbjeet

doi:10.1016/j.eij.2015.11.004

Cited by 95 publications

(35 citation statements)

References 87 publications

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“…Mobile ad-hoc networks (MANETs) describe temporary cellular networks that are made of mobile nodes which utilize a similar randomaccess wireless channel in which the mobile nodes act as the hosts and routers [1,7]. Examples of MANETs are vehicular ad hoc networks (VANET), intelligent vehicular ad-hoc networks (InVANETs) and Internet-based mobile ad-hoc networks (iMANETs).…”

Section: Reactive Protocolsmentioning

confidence: 99%

Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Qasim

Mohammed

Sosa

et al. 2019

PEN

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The Next Generation mobile network expected to be fully automated to meet the growing need for data rates and quality in communication. These prodigious demands have also increased the amount of data being handled in these wireless networks. The cellular networks can leverage vital data about the user and the network conditions providing all-inclusive visibility and intelligence in communication. Emerging analytic technologies such as big data and neural networks have been used to unearth vital insight from network traffic to assist intelligent models in routing packets. Reactive protocols are an emerging model in the intelligent routing of traffic in ad-hoc networks. In this paper, we first utilize the reactive protocols to route traffic in a wireless network while analyzing anomalous behavior. In the case of anomaly detection in wireless communication, combined performance indicators to identify outliers. The detected outliers been compared with the ground data and routes created using the reactive protocols. The combination of reactive protocols and the key performance indicators in network performance uncovered anomalies leading to segregation of these traffic in routing. From the results, it is evident that an abrupt surge in the traffic indicated an anomaly and identify the areas of interest in a network especially for resource and path allocation and fault avoidance. A MATLAB GUI was used to simulate the reactive protocols for routing of traffic and generation of datasets that analyze in Microsoft Excel to characterize the key performance indicators of the network.

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Section: Reactive Protocolsmentioning

confidence: 99%

Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Qasim

Mohammed

Sosa

et al. 2019

PEN

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“…Social network sites are online settings that allow users to register and connect to each other to communicate or share resources and have a primary focus on social interpersonal communication [1]. Social networks have become a communication platform where different users with a personalized user profile interact and share information with each other [2]. In SNW people create, share, and exchange information and ideas [3].…”

Section: Amentioning

confidence: 99%

Moderators in the relationship between intention to continue using social networks and its causes

Jan¹,

Contreras²,

Jan³

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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The aim of this research is to study privacy restrictiveness and site experience as moderators of the relationship between trusting beliefs and usage continuance intention, and between habit and usage continuance intention. The research defines social networks (SNW) and proposes that habit and trusting beliefs affect usage continuance intention in SNW. The research question is "What is the influence of privacy restrictiveness and site experience as moderators of the variables that influence usage continuance intention of social networks?" The survey asks about privacy restrictiveness and site experience to show they moderate the effects of trusting beliefs and habit on SNW usage continuance intention. The research team ran the survey in a university environment, including public and private universities. The study finds that usage continuance intention influences the use of SNW. Variables that affect this intention are trusting beliefs, habit and attitude toward using the SNW. Privacy restrictiveness and site experience moderate the relationship between trusting beliefs and usage continuance intention, and between habit and usage continuance intention. To improve the real use of SNW, universities must work on these variables.

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“…This drawback will lead to a state of deceived high prediction accuracy, or generally known as imbalanced class distribution. Apart from that, the work also emphasized that obtaining accurate and representative labels, particularly for anomaly class is difficult, hence becomes another drawback for supervised anomaly detection approach (8,10). They introduced another category of anomaly detection approach; semi-supervised.…”

Section: Anomaly Detectionmentioning

confidence: 99%

A Review on “Management by Exception” Surveillance for Well Management: To maximize Oil Production

Malik¹,

Hasan²,

Jasamai³

2018

IJET

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The business processes and decisions of oil and gas operations generate large amounts of data, which causes surveillance engineers to spend more time gathering, and analyzing them. To do this manually is inefficient. Hence, this study is proposed to leverage on data driven surveillance by adopting the principle of management by exception (MBE). The study aims to minimize the manual interaction between data and engineers; hence will focus on monitoring well production performance through pre-determined parameters with set of rules. The outcome of this study is a model that can identify any deviations from the pre-set rules and the model will alert user for deviations that occur. The model will also be able to predict on when the well be offline if the problem keeps on persisting without immediate action from user. The objective of this paper is to present a literature review on the prediction and management by exception for the above mentioned well management. The results presented in this paper will help in the development of the proposed prediction and management model. The literature review was conducted based on structured literature review methodology, and a comparative study among the collected works is analyzed and presented in this paper.

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A survey of data mining and social network analysis based anomaly detection techniques

Cited by 95 publications

References 87 publications

Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Moderators in the relationship between intention to continue using social networks and its causes

A Review on “Management by Exception” Surveillance for Well Management: To maximize Oil Production

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