TY - JOUR
T1 - Exploring Reliable Decentralized Networks with Smart Collaborative Theory
AU - Song, Fei
AU - Ma, Yuyin
AU - Yuan, Zhenhui
AU - You, Ilsun
AU - Pau, Giovanni
AU - Zhang, Hongke
N1 - Funding information: This work was supported by the National Natural Science Foundation of China under Grant No. 92167204, 62072030, and 92267301.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - The Internet of Things (IoT) is supposed to bridge diversiform service functions and heterogeneous network components. Although the Web3 and blockchain have been regarded as pioneers to retrieve the power and rights from current and future Internet giants, there are still many serious integration issues if information centric mechanisms are enabled. In this article, we establish a system for Reliable Decentralized Networks (RDN) to enhance the capability of content privacy protection based on smart collaborative theory. Possible solutions are explored to create compatible IoT environment when massive data packets have been exposed and shared in complex scenarios. Specifically, we first present common cyberattack approaches inspired by well-known service patterns and typical network characteristics. The information centric requirements are investigated to reduce the leakage risk of existing procedures, which provides necessary repertoire for implementations. The details of RDN design and deployment include target content classifications, representative combination analysis, caching pattern identifications, and so on. Finally, we validate the RDN prototype to illustrate endogenous advantages and potential utilities.
AB - The Internet of Things (IoT) is supposed to bridge diversiform service functions and heterogeneous network components. Although the Web3 and blockchain have been regarded as pioneers to retrieve the power and rights from current and future Internet giants, there are still many serious integration issues if information centric mechanisms are enabled. In this article, we establish a system for Reliable Decentralized Networks (RDN) to enhance the capability of content privacy protection based on smart collaborative theory. Possible solutions are explored to create compatible IoT environment when massive data packets have been exposed and shared in complex scenarios. Specifically, we first present common cyberattack approaches inspired by well-known service patterns and typical network characteristics. The information centric requirements are investigated to reduce the leakage risk of existing procedures, which provides necessary repertoire for implementations. The details of RDN design and deployment include target content classifications, representative combination analysis, caching pattern identifications, and so on. Finally, we validate the RDN prototype to illustrate endogenous advantages and potential utilities.
UR - http://www.scopus.com/inward/record.url?scp=85162631508&partnerID=8YFLogxK
U2 - 10.1109/mcom.003.2200443
DO - 10.1109/mcom.003.2200443
M3 - Article
SN - 0163-6804
VL - 61
SP - 44
EP - 50
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 8
ER -