Policy Conflict Resolution in IoT via Planning

2017 ◽  
pp. 169-175
Author(s):  
Emre Göynügür ◽  
Sara Bernardini ◽  
Geeth de Mel ◽  
Kartik Talamadupula ◽  
Murat Şensoy
Keyword(s):  
Conflict Resolution ◽  
Policy Conflict

scholarly journals Fast Policy Interpretation and Dynamic Conflict Resolution for Blockchain-Based IoT System

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yaozheng Fang ◽  
Zhaolong Jian ◽  
Zongming Jin ◽  
Xueshuo Xie ◽  
Ye Lu ◽  
...  
Keyword(s):  
Conflict Resolution ◽  
High Speed ◽  
Security Attacks ◽  
Policy Conflict ◽  
Resolution Rate ◽  
Policy Interpretation ◽  
Redundant Data ◽  
Smart Contract ◽  
Resolution Algorithm ◽  
Runtime Information

Although the blockchain-based Internet of Things (BC-IoT) has been applied in many fields, it still faces many security attacks due to lacking policy-based security management (PbSM). Previous PbSM is usually time-consuming, which is difficult to integrate into BC-IoT directly. The high-latency policy conflict resolving in traditional PbSM cannot meet the BC-IoT’s low-latency requirement. Moreover, the conflict resolution rate is low as the PbSM usually neglects the runtime information. Therefore, it is challenging that achieving an efficient PbSM for BC-IoT and overcomes both time and resource consumption. To address the problem, we propose a novel PbSM for BC-IoT named FPICR to realize fast policy interpretation and dynamic conflict resolution efficiently. We first present policy templates based on system log to interpret policy in high speed in BC-IoT. Benefiting from matching the characteristics of the system processing, FPICR supports interpreting a policy into the smart contract directly without complex content parsing. We then propose a weighted directed policy graph (WDPG) to evaluate the importance of the deployed policies more accurately. To improve the policy conflict resolution rate, we implement the resolution algorithm through reconstructing the WDPG. Taking the traits of these properties, FPICR thus can also remove the redundant data to compress storage space by the WDPG. Experiment results highlight that FPICR outperforms the baseline in all measure metrics. Especially, compared with the state-of-the-art method, the speedup of interpretation in FPICR is about up to 2.1 × . The conflict resolution rate in FPICR can be improved by 6.2% on average and achieve up to 96.1%.

scholarly journals Daechuri as Symbolic Battleground: Failure to Integrate Divergent Frames for Conflict Interpretation

2012 ◽  
Vol 27 (3) ◽  
pp. 27-45
Author(s):  
Kwon Hyang Won
Keyword(s):  
Conflict Resolution ◽  
Frame Analysis ◽  
Policy Conflict ◽  
Over Time

This study examined how government negotiators` and opponents`different frames for construing others` motivations prevented a settlement andintensified the Daechuri policy conflict over appropriation of land for a militarybase. Although communication- and consensus-based processes have beenacknowledged as useful methods of conflict resolution, the issue of how participants`divergent definitions and interpretations of the situation may inhibit effectivecommunication has rarely been empirically examined. Employing frame analysis,this study explored how two parties` motivations and issue interpretations werepersistently mismatched over time without reaching consensus. The resultsrevealed that government negotiators tended to oversimplify opponents` motivationsas being economically driven, while they were in fact more complicated.These results suggest that communicative negotiation will not likely be conduciveto effective conflict resolution unless it is based on thorough understanding ofthe situation.

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