Abstract
Wireless Sensor Networks (WSN) consist of devices with limited resources to explore and sense the environment in a cooperative way. Security, mainly in terms of guaranteeing the data integrity, is a primary issue for many applications, but with an extra energy cost. Thus, trade-off is required between security level and energy consumption in real applications. First of all, a brief survey about security methods, focusing in data integrity, in WSN is implemented. The objective of this paper is to propose a new data integrity method with medium security levels and low energy cost. Therefore, we propose a new and lightweight mechanism for data integrity with overlapping blocks in WSNs. Hence, an attacker will spend much time and effort to interpret and alter the packets. The experiments were performed using TinyOS 2.1 operating system and TelosB nodes for measuring the overhead in terms of energy consumption, memory, and packet size. Moreover, the receiver is able to detect tampering packets and request those retransmission data. An attacker would require huge amounts of memory and processing time to extract the original information, even for small-sized data blocks. Thus, this fact makes this approach a simple, yet effective, mechanism to protect data whilst enhancing the data integrity.
Highlights
Wireless Sensor Networks (WSN) consist of small and autonomous devices wirelessly connected cooperating to monitor or control an area
Mechanisms need to be used to send the information securely [4,5], as security is an important issue in WSNs [6,7]
The transposed matrix is generated with data block, and, in the second step, the Frame Check Sequence (FCS) is calculated via software for each column and row of the data blocks
Summary
Wireless Sensor Networks (WSN) consist of small and autonomous devices wirelessly connected cooperating to monitor or control an area These devices are based on small microcontrollers, low power radio transceivers, limited power supply, sensors, and actuators. Thereby, they present some limitations, as energy availability, computing power, bandwidth and coverage to keep power consumption low [1,2]. These networks create intelligent services to make living environments more comfortable and safer with the networked interconnection of everyday objects, in what is known as Internet of Things [3]. The sensor nodes have limited hardware resources and power energy units, and there is a trade-off between security and computing power [8]
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