Results 21 to 30 of about 61,658 (310)

Message Dropping Attacks in Overlay Networks: Attack Detection and Attacker Identification [PDF]

open access: yes2006 Securecomm and Workshops, 2006
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

open access: yes, 2022
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

open access: yesAlgorithms, 2022
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]

open access: yes, 2009
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
core   +1 more source

Securing smart home against sinkhole attack using weight‐based IDS placement strategy

open access: yesIET Wireless Sensor Systems, 2023
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
doaj   +1 more source

DoS protection for a Pragmatic Multiservice Network Based on Programmable Networks [PDF]

open access: yes, 2006
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
core   +1 more source

Prior Networks for Detection of Adversarial Attacks

open access: yesCoRR, 2018
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
openaire   +2 more sources

Intrusion Detection for Routing Attacks in Sensor Networks [PDF]

open access: yesInternational Journal of Distributed Sensor Networks, 2006
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
openaire   +3 more sources

8. 08102 Manifesto – Perspectives Workshop: Network Attack Detection and Defense

open access: yes, 2008
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

open access: yesЖурнал інженерних наук
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

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