دانلود رایگان مقاله تهدیدات داده محور و اثرات آن بر ارتباطات زمان واقعی در شبکه هوشمند

عنوان فارسی
تهدیدات داده محور و اثرات آن بر ارتباطات زمان واقعی در شبکه هوشمند
عنوان انگلیسی
Data-centric threats and their impacts to real-time communications in smart grid
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
15
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E939
رشته های مرتبط با این مقاله
مهندسی کامپیوتر و مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
شبکه های کامپیوتری
مجله
شبکه های کامپیوتر - Computer Networks
دانشگاه
گروه برق و مهندسی کامپیوتر، دانشگاه ایالتی کارولینای شمالی، ایالات متحده
کلمات کلیدی
شبکه هوشمند، امنیت سایبری، شرکت شبیه سازی
چکیده

Abstract


One of the most distinguished challenges in studying the aftermath of cyber attacks in smart grid lies in data-centric threats, which refer to cyber attacks aimed at gaining advantage or sabotage the infrastructure by manipulating the data exchanged in the underlying communication network. Even though such attacks are critical by itself in the information network, they will result in more serious impacts to the power grid. This is because for an information-centric network, distorted or delayed information undermines services and applications, in the case of a power grid, however, these data-centric attacks may result in unstable systems, which may further detrimentally impact the power supplies. In this paper, we study the impacts of data-centric attacks in the real-time communication network of smart gird, and further the consequences caused to the power grid. Our study provides insights to both smart grid security research and operation.

نتیجه گیری

5. Conclusion


In this paper, we studied the threats of data-centric attacks and effectiveness of cyber-attack countermeasures. We developed Greenbench, the cross-domain simulation benchmark to evaluate their impacts to the power grid. To leverage our understandings toward such attacks, we carry out case studies, which cover con- fidentiality, integrity, availability and authenticity aspects of data security, and evaluate them on Greenbench. Our results convey insights and instructive suggestions for solving smart grid security issues, from perspectives of both academic researches and industrial applications.


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