Mobile Network Anomaly Detection and Mitigation: The NEMESYS Approach

Abdelrahman, Omer H.; Gelenbe, Erol; Görbil, Gökçe; Oklander, Boris

doi:10.1007/978-3-319-01604-7_42

Cited by 33 publications

(34 citation statements)

References 36 publications

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“…Similar events have also been observed for mobile devices that seek to connect to Cloud services [9], [16]. Thus significant efforts are required to be made to understand the security of mobile connections, making them resilient and reliable in the face of malicious apps [17].…”

Section: Introductionmentioning

confidence: 54%

Detection and mitigation of signaling storms in mobile networks

Gelenbe

Abdelrahman

Görbil

2016

2016 International Conference on Computing, Networking and Communications (ICNC)

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Abstract-Mobile Networks are subject to "signaling storms" launched by malware or apps, which overload the the bandwidth at the cell, the backbones signaling servers, and Cloud servers, and may also deplete the battery power of mobile devices. This paper reviews the subject and discusses a novel technique to detect and mitigate such signaling storms. Through a mathematical analysis we introduce a technique based on tracking time-out transitions in the signaling system that can substantially reduce both the number of attacked mobiles and the signaling overload in the backbone.

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Section: Introductionmentioning

confidence: 54%

Detection and mitigation of signaling storms in mobile networks

Gelenbe

Abdelrahman

Görbil

2016

2016 International Conference on Computing, Networking and Communications (ICNC)

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“…To ensure information security, an important task is to design a computer system. Need a variety of methods to ensure information security, information encryption technology is an important part of the protection of information security, realize the core of the network information security technology [3][4][5][6] .…”

Section: ) Integritymentioning

confidence: 99%

Mobile Internet Tourism Information Security Research

Xue¹

2016

IJSIA

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In IntroductionWith the digital technology rapid development, the various business processing of social economy, information collection and summary analysis are widely used for computer, network economy is profoundly changing the human life and economic operation mode. Online shopping and online sales are the important of the Internet as a commercial platform tool, Internet users and businesses can through the Internet platform, and to get mutual benefit, is worthy of the government and the society advocates for tourism electronic commerce network applications, due to the particularity of tourism products, make consumers to purchase travel products online with greater risk. This makes to reduce or reduce consumer's perceived risk and increase trust is key to the key to the success of tourism e-commerce effect. Visible study tourism electronic commerce risk, identify the root causes of it, analyzes its types and characteristics, and actively eliminate or avoid risk, which can help tourism e-commerce operators in the development of e-commerce platform, reduce the risk of consumers, so as to stimulate the purchase behavior has important practical significance.Analyze the mobile Internet era from the user's point of view of information security to protect the status quo, including the user's safety behavior and safety awareness. At the same time, the paper analyzes the main leakage channels, mobile network information and the current information protection facing new difficulties and new challenges. And try to from the build to provide personal information protection mechanism of the relevant strategies and Suggestions. Theoretical sense, proposed the new concept of the mobile network personal information, and from the fundamental problems of in-depth analysis of information protection problems faced, multi-angle analysis helps to deepen the understanding of the problem. And on the protection mechanism, put forward in the information communication and the core of the balance between information protection, a breakthrough significance. Real sense, to investigate the correlation of personal information protection for users, help the objective understanding of user behavior, and the analysis of the leakage channels hope can reveal the relevant management and Internet companies to adjust sex change. Due to the mobile Internet era of personal information

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“…A number of novel ideas are also being investigated [39] such as modeling the signaling and billing network as a queueing network [40,41] to capture the main events that involve hundreds of thousands of mobile calls and interactions, while only a few may be subject to an intrusion or attack at any given time. Detection of anomalies is studied using learning with neural networks [42,43] that provide fast loworder polynomial detection complexity required for massive real-time data, and the need to detect and respond to threats in real-time.…”

Section: Anomaly Detection Using Control Plane and Billing Datamentioning

confidence: 99%

Security for smart mobile networks: The NEMESYS approach

Gelenbe

Görbil

Tzovaras

et al. 2013

2013 IEEE Global High Tech Congress on Electronics

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Abstract-The growing popularity of smart mobile devices such as smartphones and tablets has made them an attractive target for cyber-criminals, resulting in a rapidly growing and evolving mobile threat as attackers experiment with new business models by targeting mobile users. With the emergence of the first large-scale mobile botnets, the core network has also become vulnerable to distributed denial-of-service attacks such as the signaling attack. Furthermore, complementary access methods such as Wi-Fi and femtocells introduce additional vulnerabilities for the mobile users as well as the core network. In this paper, we present the NEMESYS approach to smart mobile network security. The goal of the NEMESYS project is to develop novel security technologies for seamless service provisioning in the smart mobile ecosystem, and to improve mobile network security through a better understanding of the threat landscape. To this purpose, NEMESYS will collect and analyze information about the nature of cyber-attacks targeting smart mobile devices and the core network so that appropriate counter-measures can be taken. We are developing a data collection infrastructure that incorporates virtualized mobile honeypots and honeyclients in order to gather, detect and provide early warning of mobile attacks and understand the modus operandi of cyber-criminals that target mobile devices. By correlating the extracted information with known attack patterns from wireline networks, we plan to reveal and identify the possible shift in the way that cyber-criminals launch attacks against smart mobile devices.

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Mobile Network Anomaly Detection and Mitigation: The NEMESYS Approach

Cited by 33 publications

References 36 publications

Detection and mitigation of signaling storms in mobile networks

Detection and mitigation of signaling storms in mobile networks

Mobile Internet Tourism Information Security Research

Security for smart mobile networks: The NEMESYS approach

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