Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jiawen Qiao

dblp:338/1870 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2023
0009-0003-1052-6794ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Internet of things and sensor networks · 93% Routing and switching · 7%
Network and information security
2 papers
Cryptographic protocols and secure computation · 50% Network security · 50%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation
secret sharing
1.322023
Secure and Distributed IoT Data Storage in Clouds Based on Secret Sharing and Collaborative Blockchain · IEEE/ACM Trans. Netw. 2023
Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks · IEEE Trans. Inf. Forensics Secur. 2023
Internet of things and sensor networks › wireless sensor network
heterogeneous sensor networks
0.712023
Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks · IEEE Trans. Inf. Forensics Secur. 2023
Internet of things and sensor networks › sensor data management
iot data storage
0.712023
Secure and Distributed IoT Data Storage in Clouds Based on Secret Sharing and Collaborative Blockchain · IEEE/ACM Trans. Netw. 2023
Internet of things and sensor networks › iot security
secure data transmission
0.712023
Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks · IEEE Trans. Inf. Forensics Secur. 2023
Internet of things and sensor networks
wireless sensor network
0.712023
Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks · IEEE Trans. Inf. Forensics Secur. 2023
Network security › intrusion detection and prevention
intrusion detection
0.712023
Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks · IEEE Trans. Inf. Forensics Secur. 2023
Network security › intrusion detection and prevention › intrusion detection › network intrusion detection
malicious node detection
0.712023
Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks · IEEE Trans. Inf. Forensics Secur. 2023
Routing and switching
energy-aware routing
0.212023
Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks · IEEE Trans. Inf. Forensics Secur. 2023

Methods — techniques the papers use, named apart from their topics

secret sharing · 1.3reputation mechanism · 1.3depth-first search · 1.3XOR-based secret sharing · 1.3
YearPublicationVenuePosition
2023 Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks
abstract
With the continuous development of sensor technology, more and more users hope to monitor and collect information in a certain area safely and efficiently by deploying heterogeneous wireless sensor networks (HWSNs). However, nodes in HWSNs have limited capabilities, which leads to many security challenges. Existing data transmission schemes in HWSNs take measures to resist these security threats, which aggravate the node computation overhead and increase the network energy consumption. This paper proposes a Lightweight and Secure Data Transmission (LSDT) scheme against malicious nodes in heterogeneous wireless sensor networks. Firstly, considering node capabilities limitations in HWSNs, we design a lightweight secret sharing scheme based on XOR operation, which maps data to multiple shares and makes it convenient to transmit shares separately to the sink node via multiple paths. While guaranteeing data security, this scheme can greatly reduce the computation overhead of nodes compared with traditional secret sharing schemes. Further, during the delivery of shares, the network may be attacked by malicious nodes, causing the interruption of message transmission. Therefore, we design a malicious node detection and feedback mechanism, which can quickly respond to malicious node attacks and update the reputation degree of malicious nodes. Finally, we propose a routing selection scheme based on reference path which comprehensively considers the energy and reputation degree of heterogeneous nodes. It makes message transmission bypass malicious nodes while achieving network energy load balance, significantly extending the network lifetime. The security analysis proves that our scheme guarantees the security of data transmission. Theoretical analysis and experiments show that our scheme has significant advantages over the existing HWSNs data transmission schemes in terms of network lifetime extension and malicious node resistance.
Na Wang 0003, Shancheng Zhang, Jiawen Qiao, Junsong Fu 0001, Jianwei Liu 0001, Bharat K. Bhargava
IEEE Trans. Inf. Forensics Secur.4
2023 Secure and Distributed IoT Data Storage in Clouds Based on Secret Sharing and Collaborative Blockchain
abstract
With the rapid development of 5G/6G, most Internet of Things (IoT) devices will embrace wireless connection in the near future. A public concern is how to securely organize, store and retrieve data generated from IoT devices. Many cloud-based IoT data storage schemes have been proposed recently. However, for an untrusted or vulnerable cloud server, the stored IoT data can be easily accessed, modified and even destroyed given that the IoT data are stored in total centralization. Moreover, the servers in a cloud are generally homogeneous and thus vulnerable to attacks. For improvements, we design a novel framework for secure and efficient IoT data storage based on secret sharing and a collaborative blockchain. First, an ultra-lightweight secret sharing algorithm is designed to map original messages generated by IoT devices to a set of shorter message shares. Second, all the shares of IoT messages are separately delivered to different clouds for storage. To guarantee the security of shares, the delivery is notarized on a proposed blockchain. Specifically, both hash values of the shares and their information of location are embedded in blocks which are then chained to form a blockchain. Third, we create a balanced index structure about the shares for each cloud storage node based on the information in the blockchain, and we also propose a depth-first data search algorithm to improve IoT data retrieval efficiency. Theoretical analysis and simulation results illustrate that our scheme can store and retrieve the IoT data securely and efficiently.
Na Wang 0003, Junsong Fu 0001, Shancheng Zhang, Jiawen Qiao, Jianwei Liu 0001, Bharat K. Bhargava
IEEE/ACM Trans. Netw.5