A Pattern Recognition Scheme for Distributed Denial of Service (DDoS) Attacks in Wireless Sensor Networks

2006 ◽  
Author(s):  
Z.A. Baig ◽  
M. Baqer ◽  
A.I. Khan
Keyword(s):  
Pattern Recognition ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Denial Of Service ◽  
Wireless Sensor ◽  
Distributed Denial Of Service ◽  
Ddos Attacks

scholarly journals Multilevel Modeling of Distributed Denial of Service Attacks in Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Katarzyna Mazur ◽  
Bogdan Ksiezopolski ◽  
Radoslaw Nielek
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Denial Of Service ◽  
Monitoring Network ◽  
Wireless Sensor ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Denial Of Service Attack ◽  
Ddos Attack ◽  
Service Attack

The growing popularity of wireless sensor networks increases the risk of security attacks. One of the most common and dangerous types of attack that takes place these days in any electronic society is a distributed denial of service attack. Due to the resource constraint nature of mobile sensors, DDoS attacks have become a major threat to its stability. In this paper, we established a model of a structural health monitoring network, being disturbed by one of the most common types of DDoS attacks, the flooding attack. Through a set of simulations, we explore the scope of flood-based DDoS attack problem, assessing the performance and the lifetime of the network under the attack condition. To conduct our research, we utilized the Quality of Protection Modeling Language. With the proposed approach, it was possible to examine numerous network configurations, parameters, attack options, and scenarios. The results of the carefully performed multilevel analysis allowed us to identify a new kind of DDoS attack, the delayed distributed denial of service, by the authors, referred to as DDDoS attack. Multilevel approach to DDoS attack analysis confirmed that, examining endangered environments, it is significant to take into account many characteristics at once, just to not overlook any important aspect.

scholarly journals An Efficient Multilevel Probabilistic Model for Abnormal Traffic Detection in Wireless Sensor Networks

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 410
Author(s):  
Muhammad Altaf Khan ◽  
Moustafa M. Nasralla ◽  
Muhammad Muneer Umar ◽  
Ghani-Ur-Rehman ◽  
Shafiullah Khan ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Communication Networks ◽  
Low Cost ◽  
Denial Of Service ◽  
Wireless Sensor ◽  
Data Traffic ◽  
Ddos Attacks ◽  
Detection Systems ◽  
Ddos Detection

Wireless sensor networks (WSNs) are low-cost, special-purpose networks introduced to resolve various daily life domestic, industrial, and strategic problems. These networks are deployed in such places where the repairments, in most cases, become difficult. The nodes in WSNs, due to their vulnerable nature, are always prone to various potential threats. The deployed environment of WSNs is noncentral, unattended, and administrativeless; therefore, malicious attacks such as distributed denial of service (DDoS) attacks can easily be commenced by the attackers. Most of the DDoS detection systems rely on the analysis of the flow of traffic, ultimately with a conclusion that high traffic may be due to the DDoS attack. On the other hand, legitimate users may produce a larger amount of traffic known, as the flash crowd (FC). Both DDOS and FC are considered abnormal traffic in communication networks. The detection of such abnormal traffic and then separation of DDoS attacks from FC is also a focused challenge. This paper introduces a novel mechanism based on a Bayesian model to detect abnormal data traffic and discriminate DDoS attacks from FC in it. The simulation results prove the effectiveness of the proposed mechanism, compared with the existing systems.

scholarly journals Overview of DOS attacks on wireless sensor networks and experimental results for simulation of interference attacks

2018 ◽  
Vol 38 (1) ◽  
pp. 130-138 ◽  
Author(s):  
Željko Gavrić ◽  
Dejan Simić
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Denial Of Service ◽  
Wireless Sensor ◽  
Dos Attacks ◽  
Security Issue ◽  
Simulation Scenario ◽  
Simulation Results ◽  
Potential Methods

Wireless sensor networks are now used in various fields. The information transmitted in the wireless sensor networks is very sensitive, so the security issue is very important. DOS (denial of service) attacks are a fundamental threat to the functioning of wireless sensor networks. This paper describes some of the most common DOS attacks and potential methods of protection against them. The case study shows one of the most frequent attacks on wireless sensor networks – the interference attack. In the introduction of this paper authors assume that the attack interference can cause significant obstruction of wireless sensor networks. This assumption has been proved in the case study through simulation scenario and simulation results.

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