Washington, District of Columbia
April 6, 2018
April 6, 2018
April 7, 2018
Diversity
8
10.18260/1-2--29498
https://strategy.asee.org/29498
352
Dilnesa Nukuro was born and raised in Ethiopia. He studied Electrical and Computer Engineering at University of the District of Columbia and is planning to graduate in Spring 2018. His research interests include the application of wireless sensor networks and cybersecurity. He was awarded the IEEE Region 2 Project showcase 2nd place at New Jersey in 2017.
Dr. Paul Cotae, Associate Professor of Electrical and Computer Engineering has more than 25
years of experience in the communication field (research and education). He received a Dipl. Ing.
and a M.S. degrees in communication and electronic engineering in 1980 from the Technical
University of Iassy and a Ph.D. degree in telecommunications from “Politechnica” University of
Bucharest, Romania in 1991, and a Master in Applied Mathematics in 1998 from the University
of Colorado at Boulder. From 1994 to 1998 he spent four years at the University of Colorado at
Colorado Springs and the University of Colorado at Boulder as a Fulbright Scholar and Visiting
Associate Professor doing research and teaching in ECE department and APPM department. He
served also as a consultant to Navsys Corp., Colorado Springs, in 1997. From 2002 to 2008 he
was with the Department of Electrical and Computer engineering at the University of Texas at
San Antonio (UTSA). From 1984 to 2001, he was with the Department of Electrical Engineering,
Technical University of Iassy, where he conducted research and teaching in the area of digital
communications as a Full Professor at the same department. Since 2008, he has been with the
University of the District of Columbia as an Associate Professor. His current research interests
include multiple access, modulation and coding, mobile communications, and digital
communication systems. He has authored or coauthored more than 100 papers in these areas and
four books. Dr. Cotae serves as an Associate Editor for IEEE Communication Letters, EURASIP
Journal on Signal Processing, Elsevier International Journal of Computers and Electrical
Engineering (JCEE), and he has been on the Technical Program Committee and Session chair of
the IEEE Conferences GLOBECOM (2003-2011), VTC Spring 2005, 2006 and ICC 2005-2011.
He is a Senior Member of IEEE, member of ASEE, member of HKN (Eta Kappa Nu) and SIAM.
He is cited in Who’s Who in American Education, Who’s Who in America, and in Who’s Who in
the World. He has been nominated two times for the best teacher award (2005 and 2006) in the
College of Engineering at UTSA. He is the IEEE Vice Chair Washington Section and IEEE ComSoc chair Whasington
DC Section. He is Faculty Fellow for the ONR-ASEE Summer Faculty Research Program 2009-2011.
The main idea of this paper is to improve the robustness of any computer network system. The reason is that the network failures are growing in time. To improve the robustness of the computer network system, it is important to obtain key insight into the structural vulnerabilities of the networks under discussion. This will help to analyze and understand the effect of the failure in each network components. The robustness of the network will evaluate the network’s proper function which is affected in case of external perturbation such as adversarial attacks and random failures. The robustness is one of the essential feature for the complex network which are i.e. World Wide Web, transportation network, communication network, and social information network. The vulnerability of the clustering the network will lead to the failure of network elements. The vulnerability will help to identify whose failure will critically damage the network by degrading its clustering, evaluated through the average clustering coefficient. Focusing on this problem is important because the significant change made to the clustering, resulting from element-wise failures, could degrade network performance. And also there is a formula which vulnerability analysis as an optimization problem. Finally, we will present comprehensive experiments in synthesized social networks generated by various well-known models real social networks.
Nukuro, D. T., & Cotae, P. (2018, April), The importance of assessment of vulnerability for improving the robustness of a computer network Paper presented at 2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia. 10.18260/1-2--29498
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