Novel Defense Schemes for Artificial Intelligence Deployed in Edge Computing Environment
المؤلفون المشاركون
Liu, Qian
Zhou, Chengcheng
Zeng, Ruolei
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-20، 20ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-03
دولة النشر
مصر
عدد الصفحات
20
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The last few years have seen the great potential of artificial intelligence (AI) technology to efficiently and effectively deal with an incredible deluge of data generated by the Internet of Things (IoT) devices.
If all the massive data is transferred to the cloud for intelligent processing, it not only brings considerable challenges to the network bandwidth but also cannot meet the needs of AI applications that require fast and real-time response.
Therefore, to achieve this requirement, mobile or multiaccess edge computing (MEC) is receiving a substantial amount of interest, and its importance is gradually becoming more prominent.
However, with the emerging of edge intelligence, AI also suffers from several tremendous security threats in AI model training, AI model inference, and private data.
This paper provides three novel defense strategies to tackle malicious attacks in three aspects.
First of all, we introduce a cloud-edge collaborative antiattack scheme to realize a reliable incremental updating of AI by ensuring the data security generated in the training phase.
Furthermore, we propose an edge-enhanced defense strategy based on adaptive traceability and punishment mechanism to effectively and radically solve the security problem in the inference stage of the AI model.
Finally, we establish a system model based on chaotic encryption with the three-layer architecture of MEC to effectively guarantee the security and privacy of the data during the construction of AI models.
The experimental results of these three countermeasures verify the correctness of the conclusion and the feasibility of the methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Chengcheng& Liu, Qian& Zeng, Ruolei. 2020. Novel Defense Schemes for Artificial Intelligence Deployed in Edge Computing Environment. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1214642
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Chengcheng…[et al.]. Novel Defense Schemes for Artificial Intelligence Deployed in Edge Computing Environment. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-20.
https://search.emarefa.net/detail/BIM-1214642
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Chengcheng& Liu, Qian& Zeng, Ruolei. Novel Defense Schemes for Artificial Intelligence Deployed in Edge Computing Environment. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1214642
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214642
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر