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20182021
most citedA Survey on Centrality Metrics and Their Implications in Network Resilience

119 citations · 326 across the 21 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.LG2019★ 13 cited

Quantifying Classification Uncertainty using Regularized Evidential Neural Networks

Xujiang Zhao, Yuzhe Ou, Lance Kaplan +2

Traditional deep neural nets (NNs) have shown the state-of-the-art performance in the task of classification in various applications. However, NNs have not considered any types of…

cs.LG2019

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data

Xujiang Zhao, Feng Chen, Jin-Hee Cho

Subjective Logic (SL) is one of well-known belief models that can explicitly deal with uncertain opinions and infer unknown opinions based on a rich set of operators of fusing mult…

cs.NI2019★ 17 cited

Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense

Jin-Hee Cho, Dilli P. Sharma, Hooman Alavizadeh +6

Reactive defense mechanisms, such as intrusion detection systems, have made significant efforts to secure a system or network for the last several decades. However, the nature of r…

cs.CR2019★ 1 cited

Modeling and Analysis of Integrated Proactive Defense Mechanisms for Internet-of-Things

Mengmeng Ge, Jin-Hee Cho, Bilal Ishfaq +1

As a solution to protect and defend a system against inside attacks, many intrusion detection systems (IDSs) have been developed to identify and react to them for protecting a syst…

cs.CR2019

Optimal Deployments of Defense Mechanisms for the Internet of Things

Mengmeng Ge, Jin-Hee Cho, Charles A. Kamhoua +1

Internet of Things (IoT) devices can be exploited by the attackers as entry points to break into the IoT networks without early detection. Little work has taken hybrid approaches t…

cs.CR2019★ 41 cited

Metrics Towards Measuring Cyber Agility

Jose David Mireles, Eric Ficke, Jin-Hee Cho +2

In cyberspace, evolutionary strategies are commonly used by both attackers and defenders. For example, an attacker's strategy often changes over the course of time, as new vulnerab…

cs.CY2019

Rating Reliability and Bias in News Articles: Does AI Assistance Help Everyone?

Benjamin D. Horne, Dorit Nevo, John O'Donovan +2

With the spread of false and misleading information in current news, many algorithmic tools have been introduced with the aim of assessing bias and reliability in written content.…