Relevant bibliographies by topics / SlowDrop attack

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'SlowDrop attack'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "SlowDrop attack"

1

Cambiaso, Enrico, Giovanni Chiola, and Maurizio Aiello. "Introducing the SlowDrop Attack." Computer Networks 150 (February 2019): 234–49. http://dx.doi.org/10.1016/j.comnet.2019.01.007.

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2

Cambiaso, et. al., Enrico. "Implementation of SlowDroid: Slow DoS Attack Performed by a Smartphone." International Journal of Computing and Digital Systems 4, no. 3 (July 1, 2015): 165–73. http://dx.doi.org/10.12785/ijcds/040303.

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3

Garcia, Norberto, Tomas Alcaniz, Aurora González-Vidal, Jorge Bernal Bernabe, Diego Rivera, and Antonio Skarmeta. "Distributed real-time SlowDoS attacks detection over encrypted traffic using Artificial Intelligence." Journal of Network and Computer Applications 173 (January 2021): 102871. http://dx.doi.org/10.1016/j.jnca.2020.102871.

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Dissertations / Theses on the topic "SlowDrop attack"

1

Náčin, Peter. "Detekce útoku SlowDrop." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442391.

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Abstract:
The diploma thesis is focused on the detection of a slow DoS attack named SlowDrop. The attack tries to imitate a legitimate person with a slow internet connection and does not show a new strong signature, so the attack is difficult to detect. The diploma thesis is based on the work of Ing. Mazanek in which the SlowDrop attack script was created. At the theoretical level, the issue of DoS attacks is described in general, but also in particular. Furthermore, the work develops methods for solving the problem of SlowDrop attack detection. The methods are then defined in detail and tested in a simulation environment. The practical part describes data analysis, signature detection, anomaly detection using neural networks and a detection script. In all practical parts, the used technologies and solution procedures are described in detail. The specific implementation of the solution and the achieved results are also presented. Finally, the individual results are evaluated, compared individually, but also among themselves. The obtained results show that the attack is detectable using a neural network and by created detection script.
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2

Mazánek, Pavel. "Modelování a detekce útoku SlowDrop." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413060.

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Abstract:
The work's main topic is a recently published slow DoS attack called SlowDrop. The work focuses on the subject of describing the current state of the DoS problem as a whole and the SlowDrop attack as well. It works with this theoretical basis during the implementation of it's own SlowDrop attack model. This model is tested in various scenarios and the outcome results are analyzed and constructively discussed. Furthermore defensive mechanisms against this threat and DoS attacks in general are proposed, specific methods shown and configurations recommended. These methods are followingly tested and evaluated. Last but not least the traffic of a SlowDrop attacker and a legitimate client with bad connection, which the SlowDrop attack is trying to immitate, are compared. From this comparison final conclusions of this work are drawn.
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Conference papers on the topic "SlowDrop attack"

1

Cambiaso, Enrico, Gianluca Papaleo, and Maurizio Aiello. "SlowDroid: Turning a Smartphone into a Mobile Attack Vector." In 2014 2nd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2014. http://dx.doi.org/10.1109/ficloud.2014.72.

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