Natural disasters often lead to regional failures which can fail down network nodes and links co-located in a large geographical area. It will be beneficial to improve the resilience of a network by assessing its vulnerability under regional failures. In this paper, we propose the concept of α-critical-distance to evaluate the importance of a network node in the geographical space with a given ...

The determinants of selective vulnerability in neurodegenerative diseases remain elusive. The asymmetric loss of neurons in primary progressive aphasia offers a unique setting for addressing this question. Although no factor can yet account for the selective vulnerability of the left hemisphere language network to degenerative diseases, a few themes are emerging as potential targets of further ...

This paper presents a new vulnerability scanning model named as INVUS, which contains aspects of both network and host-based vulnerability scanners. INVUS model has client/server architecture and provides an option to repair the found vulnerabilities by working with the firewall.

By leveraging the principle of software polyculture to ensure security in a network, we propose vulnerability-based diversity metric determine how network topology can be adapted minimize vulnerability while maintaining maximum connectivity. Our proposed estimates node using vulnerabilities packages installed on nearby nodes attack paths reachable node. diversity-based adaptation (SDA) scheme e...

Methodologies and approaches for assessing the vulnerability of a public transport network are generally based on quantifying average delay generated passengers by some type disruption. In this work, novel methodology is proposed, which combines traditional approach, quantitative evaluation averaged disruption effects, with analysis asymmetry effects among users, means Lorenz curves Gini index....