A logic-route key tree based group key management scheme for wireless sensor networks

Jiang, Rong; Luo, Jun; Wang, Xiaoping

doi:10.1109/iccchina.2013.6671199

Cited by 7 publications

(5 citation statements)

References 13 publications

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“…To decrease the number of needed rekeying messages, logical key tree was applied into key distribution schemes. Jiang et al proposed a group key management scheme which was based on logic route key [29]. The proposed scheme divides a WSN into clusters and generates a route key tree based on the route topology of the WSN.…”

Section: B Self-healing Methodsmentioning

confidence: 99%

A Secure Trust-Based Key Distribution With Self-Healing for Internet of Things

Han

Yang

et al. 2019

IEEE Access

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Internet of things (IoT) can enable cyber-physical objects to communicate with one another and realize real-time living-needs control such as for vehicles, smart phones, refrigerators, healthcare gadgets and air-conditioners. Of the applications of IoT, collecting and receiving health-related data securely is the most crucial and significant use in the fields of community and hospital healthcare, where any single communication failure or data loss might cause a life damage risk. To address this problem, self-healing mechanism can be used for facilitating secure communications and recovering from the lost data. In this paper, a new key distribution with self-healing for IoT objects of community healthcare is proposed, and the underlying system is composed of two layers. In the top layer, the new scheme implements both deterministic security link and access control which are based on polynomial-based methods. In the bottom layer, we propose a trust-based key distribution scheme with self-healing and a singular value decomposition (SVD) based authentication method. Security and performance analysis show that our protocol can be performed more efficiently in data communication. In addition, results obtained from both security analysis and simulations indicate that our scheme is more suitable for IoT networks.

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Section: B Self-healing Methodsmentioning

confidence: 99%

A Secure Trust-Based Key Distribution With Self-Healing for Internet of Things

Han

Yang

et al. 2019

IEEE Access

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“…Jiang et al 12 analyzed scalable and secure GKM scheme based on hierarchal cluster (HRKT) that is used for dividing the group key into cluster-key and cluster-head-key. The route-key structure and logic-tree are important reasons to run this proposed scheme.…”

Section: Related Workmentioning

confidence: 99%

Big data analytics for large‐scale UAV‐MBN in quantum networks using efficient hybrid GKM

Mahaveerakannan

C²

2019

Concurrency and Computation

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A primary important aspect of wireless network domain is known to be secured communication as the signals are emphatically available and broadcasted through the air. Quantum wireless networks are a hot topic of research in recent years that made researchers to avail new techniques in this field. Big data is one of the major aspects that support large-scale quantum network applications. As sensor nodes have resource constraints, it is more complex when using the traditional techniques of key establishment that only used for stable communication networks. Group-related applications are also one of the important aspects in wireless network for sending and receiving messages from multiple users. Unfortunately, maintenance of security for the group-oriented protocols is major issue due to the frequent changes in membership. In this paper, a hybrid GKM with re-keying procedure is proposed to obtain a secure communication for the remote system of unmanned autonomous vehicle (UAV) with mobile backbone network (MBN). Here, the group controller is selected based on the simplified hybrid energy efficient distributed (HEED) protocol and honey key encryption algorithm is used by the key management center (KMC) for generating and distribution of key for the group's controller. The secure communication is explored using the key exchange mechanism between the nodes. The joining and leaving of a node from the group are initiated by the re-keying process. The simulation results explain the improved performance of the proposed hybrid method when compared with other existing techniques in terms of privacy level, energy, memory, and time consumption. KEYWORDSgroup key management (GKM), hybrid energy efficient distributed (HEED), mobile backbone network (MBN), security, unmanned autonomous vehicle (UAV)

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“…Since wireless sensor networks are cheap and easy to implement [56] , they are popular to assist detecting energy theft. McLaughlin et al proposed an AMI Intrusion Detection System (AMIDS) that uses information fusion to combine the sensors and consumption data from a smart meter to more accurately detect energy theft [38,39] .…”

Section: State-based Detection Techniquementioning

confidence: 99%

Energy-theft detection issues for advanced metering infrastructure in smart grid

Jiang

Wang

et al. 2014

Tinshhua Sci. Technol.

Self Cite

289

130

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With the proliferation of smart grid research, the Advanced Metering Infrastructure (AMI) has become the first ubiquitous and fixed computing platform. However, due to the unique characteristics of AMI, such as complex network structure, resource-constrained smart meter, and privacy-sensitive data, it is an especially challenging issue to make AMI secure. Energy theft is one of the most important concerns related to the smart grid implementation. It is estimated that utility companies lose more than $25 billion every year due to energy theft around the world. To address this challenge, in this paper, we discuss the background of AMI and identify major security requirements that AMI should meet. Specifically, an attack tree based threat model is first presented to illustrate the energy-theft behaviors in AMI. Then, we summarize the current AMI energy-theft detection schemes into three categories, i.e., classification-based, state estimation-based, and game theory-based ones, and make extensive comparisons and discussions on them. In order to provide a deep understanding of security vulnerabilities and solutions in AMI and shed light on future research directions, we also explore some open challenges and potential solutions for energy-theft detection.

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A logic-route key tree based group key management scheme for wireless sensor networks

Cited by 7 publications

References 13 publications

A Secure Trust-Based Key Distribution With Self-Healing for Internet of Things

A Secure Trust-Based Key Distribution With Self-Healing for Internet of Things

Big data analytics for large‐scale UAV‐MBN in quantum networks using efficient hybrid GKM

Energy-theft detection issues for advanced metering infrastructure in smart grid

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