ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

Abstract

Wireless sensor networks (WSNs) are increasingly being deployed in security-critical applications. Because of their inherent resource-constrained characteristics, they are prone to various security attacks, and a black hole attack is a type of attack that seriously affects data collection. To conquer that challenge, an active detection-based security and trust routing scheme named ActiveTrust is proposed for WSNs. The most important innovation of ActiveTrust is that it avoids black holes through the active creation of a number of detection routes to quickly detect and obtain nodal trust and thus improve the data route security. More importantly, the generation and distribution of detection routes are given in the ActiveTrust scheme, which can fully use the energy in non-hotspots to create as many detection routes as needed to achieve the desired security and energy efficiency. Both comprehensive theoretical analysis and experimental results indicate that the performance of the ActiveTrust scheme is better than that of previous studies. ActiveTrust can significantly improve the data route success probability and ability against black hole attacks and can optimize network lifetime. Index Terms-black hole attack, network lifetime, security, trust, wireless sensor networks I. INTRODUCTION IRELESS Sensor Networks (WSNs) are emerging as a promising technology because of their wide range of applications in industrial, environmental monitoring, military and civilian domains [1-5]. Due to economic considerations, the nodes are usually simple and low cost. They are often unattended, however, and are hence likely to suffer from different types of novel attacks [6-8]. A black hole attack (BLA) is one of the most typical attacks [9] and works as

Reliable and Secured Routing in Wireless Sensor Networks using Active Trust

“…Through the active detection routing protocol the trust of the node can be easily obtained and it can increase the efficiency of the data route in choosing the nodes that are having high trust which can avoid black holes [1]. It refers to a route without any data packets, by sending a dummy data to the sink just to satisfy the attacker nodes to launch an attack so that the system can identify the attacker behavior and it can mark the black hole location.…”

“…Here the route will select a node which is having high trust as the next hop to avoid black holes which thereby improves the success ratio of reaching the sink [1]. The figure 2 represents the data routing protocol.…”

“…A black hole attack (BLA) is one of the most serious attack. Black holes are the places in the wireless sensor network where the data packets are dropped silently in the middle of the transmission without even informing the source that the data did not reach the sink node or the recipient node [1]. When the architecture of the network is examined containing the black holes it reveals that the black holes are invisible by themselves.…”

An unequal redundancy level-based mechanism for reliable data collection in wireless sensor networks

“…[1][2][3][4][5][6][7]. Due to their inherent characteristics of resourceconstraint, for data collection, energy efficiency is another vital issue since replacing or recharging the batteries of sensor nodes is extremely difficult [1][2][3][4].…”

“…[1][2][3][4][5][6][7]. Due to their inherent characteristics of resourceconstraint, for data collection, energy efficiency is another vital issue since replacing or recharging the batteries of sensor nodes is extremely difficult [1][2][3][4]. In addition, some sensing applications require that each data packet is successfully delivered to sink with statistical probability such as 70-95 % [1,[8][9][10][11], which is sufficient for these applications such as environment (temperature, humidity) and agriculture (water tank, irrigation) [1,10].…”