| Title | SCTD: Smart Reasoning Based Content Threat Defense in Semantics Knowledge Enhanced ICN |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Liu, Yi, Dong, Mianxiong, Ota, Kaoru, Wu, Jun, Li, Jianhua, Chen, Hao |
| Conference Name | ICC 2019 - 2019 IEEE International Conference on Communications (ICC) |
| Date Published | may |
| Keywords | blacklisting, Cognition, Computer architecture, content semantic awareness, content threats, content-based defense mechanism, context communication content, distributed processing, edge computing, Extranets, fog computing based defense mechanism, ICN edge defense system, ICN protocols, ICN semantic features, inference mechanisms, Information Centric Network, Information Centric Networks, information-centric networking, Internet, knowledge graph, pubcrawl, resilience, Resiliency, Scalability, SCTD, security knowledge-based defense mechanism, security of data, semantic obfuscation, semantic reasoning, semantic relations, Semantics, smart based defense mechanism, smart reasoning algorithms, smart reasoning based content threat defense, subscription-based naming mechanism |
| Abstract | Information-centric networking (ICN) is a novel networking architecture with subscription-based naming mechanism and efficient caching, which has abundant semantic features. However, existing defense studies in ICN fails to isolate or block efficiently novel content threats including malicious penetration and semantic obfuscation for the lack of researches considering ICN semantic features. More importantly, to detect potential threats, existing security works in ICN fail to use semantic reasoning to construct security knowledge-based defense mechanism. Thus ICN needs a smart and content-based defense mechanism. Current works are not able to block content threats implicated in semantics. Additionally, based on traditional computing resources, they are incompatible with ICN protocols. In this paper, we propose smart reasoning based content threat defense for semantics knowledge enhanced ICN. A fog computing based defense mechanism with content semantic awareness is designed to build ICN edge defense system. In addition, smart reasoning algorithms is proposed to detect implicit knowledge and semantic relations in packet names and contents with context communication content and knowledge graph. On top of inference knowledge, the mechanism can perceive threats from ICN interests. Simulations demonstrate the validity and efficiency of the proposed mechanism. |
| DOI | 10.1109/ICC.2019.8761662 |
| Citation Key | liu_sctd_2019 |
SCTD: Smart Reasoning Based Content Threat Defense in Semantics Knowledge Enhanced ICN