Message Dropping Attacks in Overlay Networks: Attack Detection and Attacker Identification [PDF]
Overlay multicast networks are used by service providers to distribute contents such as Web pages, static and streaming multimedia data, or security updates to a large number of users. However, such networks are extremely vulnerable to message-dropping attacks by malicious or selfish nodes that intentionally drop the packets they are required to ...
Liang Xie 0002, Sencun Zhu
openaire +1 more source
Neural network-based distributed denial of service (DDoS) attack detection in smart home networks
Due to various limitations, such as limited power supply, the lack of storage capability and processing power, Internet of Things-based smart home networks have become vulnerable to various cyber-security attacks including Distributed Denial of ...
Ahmad, F +3 more
core +1 more source
Research on Network Attack Traffic Detection HybridAlgorithm Based on UMAP-RF
Network attack traffic detection plays a crucial role in protecting network operations and services. To accurately detect malicious traffic on the internet, this paper designs a hybrid algorithm UMAP-RF for both binary and multiclassification network ...
Xiaoyu Du +3 more
doaj +1 more source
A deployment value model for intrusion detection sensors [PDF]
The value of an intrusion detection sensor is often associated with its data collection and analysis features. Experience tells us such sensors fall under a range of different types and are diverse in their operational characteristics. There is a need
Hao Chen +13 more
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Securing smart home against sinkhole attack using weight‐based IDS placement strategy
Extensive use of the Internet of Things (IoT) in smart homes makes users' lives easy and comfortable. Yet, these resource‐constrained devices are prone to manifold security attacks.
Md. Shafiqul Islam +3 more
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DoS protection for a Pragmatic Multiservice Network Based on Programmable Networks [PDF]
Proceedings of First International IFIP TC6 Conference, AN 2006, Paris, France, September 27-29, 2006.We propose a scenario of a multiservice network, based on pragmatic ideas of programmable networks.
Marifeli Sedano +7 more
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Prior Networks for Detection of Adversarial Attacks
Adversarial examples are considered a serious issue for safety critical applications of AI, such as finance, autonomous vehicle control and medicinal applications. Though significant work has resulted in increased robustness of systems to these attacks, systems are still vulnerable to well-crafted attacks.
Andrey Malinin, Mark J. F. Gales
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Intrusion Detection for Routing Attacks in Sensor Networks [PDF]
Security is a critical challenge for creating robust and reliable sensor networks. For example, routing attacks have the ability to disconnect a sensor network from its central base station. In this paper, we present a method for intrusion detection in wireless sensor networks.
Chong Eik Loo +3 more
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8. 08102 Manifesto – Perspectives Workshop: Network Attack Detection and Defense
This manifesto is the result of the Perspective Workshop Network Attack Detection and Defense held in Schloss Dagstuhl (Germany) from March 2nd – 6th, 2008.
Carle, Georg +5 more
core +1 more source
An Improved Recurrent Neural Network for Industrial IoT Botnet Attack Detection
This research aims to improve the Industrial Internet of Things (IIoT) security, which fosters technological confidence and promotes expansion. The IIoT is mainly used in manufacturing, oil, and gas to avoid botnet attacks.
G. Suneetha, D.H. Priya
doaj +1 more source

