DHB-KEY: An efficient key distribution scheme for wireless sensor networks

Chung, Tony; Roedig, Utz

doi:10.1109/mahss.2008.4660127

Cited by 18 publications

(9 citation statements)

References 17 publications

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“…Recently, efforts in light weight key distribution schemes have received considerable attention from the research community [59], [60] , [61] and [62]. Elliptic Curve Cryptography based Diffie Hellman (ECDH) is a hot candidate for a lightweight key distribution scheme in IoT.…”

Section: E Key Managementmentioning

confidence: 99%

Software Defined Security Service Provisioning Framework for Internet of Things

Khan¹,

Hameed²

2016

ijacsa

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Abstract-Programmable management framework have paved the way for managing devices in the network. Lately, emerging paradigm of Software Defined Networking (SDN) have revolutionized programmable networks. Designers of networking applications i.e. Internet of things (IoT) have started investigating potentials of SDN paradigm in improving network management. IoT envision interconnecting various embedded devices surrounding our environment with IP to enable internet connectivity. Unlike traditional network architectures, IoT are characterized by constraint in resources and heterogeneous inter connectivity of wireless and wired medium. Therefore, unique challenges for managing IoT are raised which are discussed in this paper. Ubiquity of IoT have raised unique security challenges in IoT which is one of the aspect of management framework for IoT. In this paper, security threats and requirements are summarized in IoT extracted from the state of the art efforts in investigating security challenges of IoT. Also, SDN based security service provisioning framework for IoT is proposed.

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Section: E Key Managementmentioning

confidence: 99%

Software Defined Security Service Provisioning Framework for Internet of Things

Khan¹,

Hameed²

2016

ijacsa

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“…Unique shared key with the BS is used for generating MAC tag and is generated using the mechanism described below which is based on [18]. The key establishment consists of two phases.…”

Section: B Key Establishmentmentioning

confidence: 99%

A secure data aggregation protocol for outlier detection in wireless sensor networks using aggregate Message Authentication Code

Bharuka

Jinwala

2014

2014 9th International Conference on Industrial and Information Systems (ICIIS)

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Data aggregation is the most commonly used approach for extending the lifetime of the wireless sensor networks (WSNs). WSNs are exposed to events, errors and malicious activities which can cause unreliable and improper readings sent to the base station, often called as outlier values. These outlier values can indicate an emergency, for example, a rise in temperature value can indicate a fire. Hence, if this outlier value is not handled appropriately, then it can cause serious consequences. The data aggregation schemes do not take such outlier values into consideration and aggregates them with the normal values. Thus, we need to incorporate the outlier detection with the Secure Data Aggregation (SDA) scheme. The adversary can corrupt these outlier values, so the integrity of the outlier values needs to be taken care of. Integrity is classically achieved using a Message Authentication Code (MAC) in many to one communication. Transmission channel capacity of WSN is often small, so MAC represents a significant overhead. This fact introduced scope to find methods to compute the aggregate MAC (AMAC). We have proposed a novel SDA protocol with outlier detection mechanism that uses AMAC.

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“…An eavesdropper knows only Q A and Q B but is unable to compute the secret key from this. However, vulnerability of ECDH has no authentication [9] and no prevention of man-in-the-middle attack [10]. Fig.…”

Section: B Ecdhmentioning

confidence: 99%

An enhanced key management using ZigBee Pro for wireless sensor networks

Choi

Yun

Chae

et al. 2012

The International Conference on Information Network 2012

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In this paper, we propose an enhanced key management mechanism using ECDH(Elliptic Curve Diffie-Hellman) and subMAC for wireless sensor networks using ZigBee. ZigBee consumes low power and provides security in wireless sensor networks. ZigBee Pro enhances security and supports a large number of applications. Despite enhanced security, ZigBee Pro has vulnerabilities of key management, i.e., weakness of key distribution. We use ECDH for secure key distribution and subMAC to overcome the weakness of ECDH, i.e., no authentication and no prevention of man-in-the-middle attack. Using subMAC, we provide the authentication for transmitted messages and prevent man-in-the-middle attack and replay attack. Simulation results show our approach using ECDH and subMAC in ZigBee Pro is more efficient than existing ZigBee Pro in terms of run time and energy consumption. We prove security is enhanced.

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DHB-KEY: An efficient key distribution scheme for wireless sensor networks

Cited by 18 publications

References 17 publications

Software Defined Security Service Provisioning Framework for Internet of Things

Software Defined Security Service Provisioning Framework for Internet of Things

A secure data aggregation protocol for outlier detection in wireless sensor networks using aggregate Message Authentication Code

An enhanced key management using ZigBee Pro for wireless sensor networks

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