Lightweight Jammer Localization in Wireless Networks: System Design and Implementation

Abstract

Jamming attacks have become prevalent during the last few years, due to the shared nature and the open access to the wireless medium. Finding the location of a jamming device is of great importance for restoring normal network operations. After detecting the malicious node we want to find its position, in order for further security actions to be taken. Our goal in this paper is the design and implementation of a simple, lightweight and generic localization algorithm. Our scheme is based on the principles of the gradient descent minimization algorithm. The key observation is that the Packet Delivery Ratio (PDR) has lower values as we move closer to the jammer. Hence, the use of a gradient-based scheme, operating on the discrete plane of the network topology, can help locate the jamming device. The contributions of our work are the following: (a) We demonstrate, through analysis and experimentation, the way that the jamming effects propagate through the network in terms of the observed PDR. (b) We design a distributed, lightweight jammer localization system which does not require any modifications to the driver/firmware of commercial NICs. (c) We implement and evaluate our localization system on our 802.11 indoor testbed. An attractive and important feature of our system is that it does not rely on special hardware 1 .

Enabling Self-Healing Smart Grid Through Jamming Resilient Local Controller Switching

“…Particularly, the shared secret between transmitter and receiver is established via the Uncoordinated Seed Disclosure in Frequency Hopping under the presence of jamming. Besides FHSS and DSSS, other defense strategies include the use of error correcting codes [19] to increase the likelihood of decoding corrupted packets, spatial retreats [20] to move out of jammed regions geographically, anti-jamming timing channels [21], wormhole-based anti-jamming techniques [22], Multi-Channel Ratio (MCR) Decoding [23], and localizing jammers for physically neutralizing the jamming attacks [24]- [26].…”

Error minimizing jammer localization through smart estimation of ambient noise

“…Current jammer-localization approaches mostly rely on parameters derived from the affected network topology, such as packet delivery ratios [11], neighbor lists [6], and nodes' hearing ranges [7]. The use of these indirect measurements derived from jamming effects makes it difficult to accurately localize jammer's position.…”

Jamming and anti-jamming techniques in wireless networks: a survey

“…Pelechrinis et al (2009b) computes the PDR value as a product of the probability of the sender sensing the medium idle, probability that the receiver will receive the packets sent to it and the probability that the sender will receive the acknowledgment. These probabilities are computed using the signal propagation model.…”