A Swarm Based Defense Technique for Jamming Attacks in Wireless Sensor Networks

Abstract

Abstract-Jamming can interrupt wireless transmission and occur by mistake in form of interference, noise or as collision at the receiver or in the circumstance of an attack. In this paper, we propose a swarm based defense technique for jamming attacks in wireless sensor networks. Swarm intelligence algorithm is proficient enough to adapt change in network topology and traffic. The sender and receiver change channels in order to stay away from the jammer, in channel hoping technique. The jammers remain on a single channel, hoping to disrupt any fragment that may be transmitted in the pulse jamming technique. Using the swarm intelligence technique, the forward ants either unicast or broadcast at each node depending on the availability of the channel information for end of the channel. If the channel information is available, the ants randomly choose the next hop. As the backward ants reaches the source, the data collected is verified which channel there is prevalence of attacker long time, and those are omitted. Simultaneously the forward ants are sent through other channels which are not detected before for attacks. This scheme helps limit the channel maintenance overhead. By simulation results, it is clear that this swarm based defense technique for jamming attack is more effective than the existing works.

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

“…The swarm-based defensive method provided in [16] deals with sleep attacks denial using the anomaly detecting model for the determination of the traffic effect within sensor nodes. Therefore, the frequency oscillation technique was established.…”

Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

“…In addition, by selecting the clusters head with the most remaining energy, less overhead and the smallest distance to the sink, the lifetime of the network has been increased. As shown in the Figure 12(a), and 13 ASDA-RSA increases the lifetime by more than 19,22,24,28,31, and 39% those of current approaches, respectively.…”

Evaluation of Resource Exhaustion Attacks against Wireless Mobile Devices

“…Periyanayagi, et al [11] propose an intellectual swarm based technique aimed at identifying jamming attacks in WSN. The technique enables analyzing data from sensors against jamming attacks, dynamically modifying the exploited communication channel.…”

“…• specific types of ERE attacks, such as vampire attacks [1][2][3], denial-of-sleep attacks [4][5][6][7][8], attacks on specific crypto-protocols, causing increased power consumption on their executing devices [9], various jamming attacks [10,11], replay attacks and collision attacks [12], etc. ; • specific applications and systems analyzed for possible ERE attacks, such as attacks on personal portable mobile devices in direct line of sight [13,14], combined attacks on mobile devices, using vulnerabilities of a cellular network server [15], attacks on separately located sensors [16], attacks on mesh networks built on specific network protocols [17], attacks on drones [18], attacks on implantable medical devices, taking into account various ways to replenish their charge [19], etc.…”