Analysis of Hardware Encryption Versus Software Encryption on Wireless Sensor Network Motes

Healy, Michael; Newe, Thomas; Lewis, Elfed

doi:10.1007/978-3-540-79590-2_1

Cited by 27 publications

(12 citation statements)

References 10 publications

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“…Rijndal outperformed its competitors in terms of efficiency and to date has gained acceptance in various fields, including lowpower embedded systems [15] and RFID [10]. Several publications report about investigations of the resource needs of AES implemented in 8-bit [17] and 16-bit [7] microcontrollers as well as in hardware [13]. The authors of [7] implemented AES in C resulting in ROM and RAM requirements of 5160 bytes and 260 bytes, respectively.…”

Section: The Advanced Encryption Standard (Aes)mentioning

confidence: 97%

Block cipher based security for severely resource-constrained implantable medical devices

Beck

Masny

Geiselmann

et al. 2011

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies

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A large proportion of today's modern implantable medical devices (IMDs) comprises a wireless interface that enables the IMD to connect to another implanted device or a base station situated outside the body. Due to the various benefits, future IMD generations will certainly increase this number even more, making wireless connectivity for IMDs a matter of course. Since the data originating from biomedical applications usually contain sensitive information, security and privacy are major issues in IMD communications. The key challenge in providing adequate security for IMDs results from the severe size, power, and memory constraints that are inherent to most of the devices. In this paper, we discuss security and privacy design goals specific to resource-constrained IMDs. We then present a block cipher based security protocol featuring two modes: a stream mode aiming at minimizing the radio duty cycle while maintaining basic security and a session mode providing strong security for highly sensitive information and a role-based user authorization scheme. The protocol is presented using the Artificial Accommodation System (AAS) as an example. This novel micro-mechatronic implant is characterized by a high communication need and severe resource constraints.

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Section: The Advanced Encryption Standard (Aes)mentioning

confidence: 97%

Block cipher based security for severely resource-constrained implantable medical devices

Beck

Masny

Geiselmann

et al. 2011

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies

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“…Healy et al [32] have a look on the benefits of using hardware encryption for symmetric encryption to reduce encrypting costs. Thus, the authors investigate the use of an AES encryption module that is available on the Chipcon CC2420 transceiver chip as used for MICAz and TmoteSKY nodes.…”

Section: Symmetric Cryptographymentioning

confidence: 99%

A Survey on Measures for Secure Routing in Wireless Sensor Networks

Kellner¹,

Alfandi

Hogrefe³

2012

International Journal of Sensor Networks and Data Communication

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In the near future, it is likely that wireless sensor networks (WSNs) become a major technology for the sensing in different application areas. One of the main challenges in WSNs is the secure routing of data through the network. This is resulting from the fact that WSNs are normally deployed in unattended or even hostile environments. While in last few years the routing approaches were mainly focussing on metrics such as robustness, energy preservation, etc., recently, different security solutions came to the fore that were taking also the security issues in WSNs into account. In this paper, different types of attacks on the routing layer of WSNs are investigated. Subsequently, measures for secure routing; including cryptography, key establishment, trust & reputation and secure localization; are reviewed, which were proposed by researchers in this area. Based on these findings, future prospects are discussed and final conclusions will be drawn.Keywords wireless sensor networks; secure routing; WSNs IntroductionSince years, the monitoring of areas of interest is a topic of great importance for civil as well as military applications, such as emergency scenarios, manufacturing environments, battle fields etc. Due to the advances in micro-electronics, highly integrated electronics and improved energy accumulators, in the last few years, the development of sensor nodes was intensified so that the sensor nodes got smaller and smaller, while the price per sensor went down at the same time. One of the major ideas was that the sensor nodes should form a collaborative wireless network to monitor events in arbitrary environments by acting in a selfconfigurable, self-organizing ad hoc manner, i.e. without the necessity of human interaction.Due to the fact that the sensor's energy, in most cases a battery that should last for the sensor's lifetime, is strongly limited, the sensor nodes are constrained in their computational power, memory and transmission range. As a consequence, the nodes can neither perform computational intensive tasks nor deliver meaningful results by acting on their own. Therefore, the sensor nodes have to cooperate to be

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“…In our scheme, the order of the two processes is not of concern since they are done in one step by one unit. The authors in [2] pointed out how physical layer encryption is taking significant importance in wireless network security. They propose an efficient physical layer encryption that relies on implementation of OFB mode just after error correction.…”

Section: Related Workmentioning

confidence: 99%

“…As a result, there has been a lot interest in implementing encryption at the physical layer. The authors in [2] pointed out that the best and often the only way to secure data in a wireless sensor network is to encrypt the data using a secure encryption algorithm before it is transmitted over the air ways. They pointed out that the cost of software-based encryption procedure could outweigh the risks of the transmission being intercepted because of the constraint nature of resources, memory, and clock speeds on the sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

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Joint Scheme for Physical Layer Error Correction and Security

Adamo

Varanasi

2011

ISRN Communications and Networking

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We present a joint scheme that combines both error correction and security at the physical layer. In conventional communication systems, error correction is carried out at the physical layer while data security is performed at an upper layer. As a result, these steps are done as separate steps. However there has been a lot of interest in providing security at the physical layer. As a result, as opposed to the conventional system, we present a scheme that combines error correction and data security as one unit so that both encryption and encoding could be carried out at the physical layer. Hence, in this paper, we present an Error Correction-Based Cipher (ECBC) that combines error correction and encryption/decryption in a single step. Encrypting and encoding or decoding and decrypting in a single step will lead to a faster and more efficient implementation. One of the challenges of using previous joint schemes in a communications channel is that there is a tradeoff between data reliability and security. However, in ECBC, there is no tradeoff between reliability and security. Errors introduced at the transmitter for randomization are removed at the receiver. Hence ECBC can utilize its full capacity to correct channel errors. We show the result of randomization test on ECBC and its security against conventional attacks. We also present the nonpipelined and pipelined hardware architecture of ECBC, and the result of the FPGA implementation of the ECBC encryption. We also compare these results with non-ECBC schemes.

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Analysis of Hardware Encryption Versus Software Encryption on Wireless Sensor Network Motes

Cited by 27 publications

References 10 publications

Block cipher based security for severely resource-constrained implantable medical devices

Block cipher based security for severely resource-constrained implantable medical devices

A Survey on Measures for Secure Routing in Wireless Sensor Networks

Joint Scheme for Physical Layer Error Correction and Security

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