Detection of reactive jamming in sensor networks

Abstract

Abstract-An integral part of most security-and safety-critical applications is a dependable and timely alarm notification. However, owing to the resource constraints of wireless sensor nodes (i.e., their limited power and spectral diversity), ensuring a timely and jamming-resistant delivery of alarm messages in applications that rely on wireless sensor networks is a challenging task. With current alarm forwarding schemes, blocking of an alarm by jamming is straightforward and jamming is very likely to remain unnoticed. In this work, we propose a novel jamming detection scheme as a solution to this problem. Our scheme is able to identify the cause of bit errors for individual packets by looking at the received signal strength during the reception of these bits and is well-suited for the protection of reactive alarm systems with very low network traffic. We present three different techniques for the identification of bit errors based on: predetermined knowledge, error correcting codes, and limited node wiring. We perform a detailed evaluation of the proposed solution and validate our findings experimentally with Chipcon CC1000 and CC2420 radios. The results show that our solution effectively detects sophisticated jamming attacks that cannot be detected with existing techniques and enables the formation of robust sensor networks for dependable delivery of alarm notifications. Our scheme also meets the high demands on the energy efficiency of reactive surveillance applications as it can operate without introducing additional wireless network traffic.

Investigation of Signal and Message Manipulations on the Wireless Channel

“…The investigation of the research question above examines realistic attacker capabilities that are assumed in a number of works on wireless communication without exploration, e. g. in [11,16,24,25]. We therefore see our work as an important building block for constructing realistic threat models and appropriate countermeasures.…”

“…In the context of wireless systems, message-based attacker models have been adopted in a number of works, e. g., in [11,15,16,22,24,25]. In these works, the attacker is usually assumed to be able to eavesdrop, insert, modify, replay, delay, or delete any signal being transmitted on the wireless channel.…”

“…The strongest attacker models (e. g., in [11,16,24,25]) adhere to a Dolev-Yao [5] model, in which the attacker has the capability to eavesdrop, modify, compose, and (re)play any messages transmitted and received by authorized devices. In this model, in addition to eavesdropping and insertion, the attacker can fully [24] or partially [11,16,25] modify and annihilate signals at the receiver's antenna.…”

“…In this model, in addition to eavesdropping and insertion, the attacker can fully [24] or partially [11,16,25] modify and annihilate signals at the receiver's antenna.…”

Development of loT Application Based Socket Cluster and Cylon

“…Achieving above value and the full benefits of IoT connectivity [2] means building connected products on top of a comprehensive IoT platform which spans the full spectrum of technologies required for the IoT [4].…”