Complex networks have been an up-and-coming exciting field in the realm of interactions. With their widespread use appearing on the horizon it is ever more vital to be able to measure their vulnerability as a function of their topology. Precisely, discovering vulnerable links, disposed to attacks, can help in hardening these links and by that providing more secure and reliable network structure...

Vulnerability is an important issue that needs to be solved in order to optimize the performance of complex networks. Dynamism in the topology of a complex network isan important factor in vulnerability analysis of complex networks.We analyses the vulnerability of dynamic complex networks and deals with vulnerable nodes in such networks by focusing on ad-hoc networks, which are typical dynamic ...

The present study examines how the use of social network sites (SNS) increases the potential of experiencing psychological, reputational and physical vulnerability online. From our theoretical perspective, concerns over the use of social network sites and online vulnerability stem from the ease with which users can amass large and diverse sets of online social connections and the associated mai...

Uncovering the patterns of the software vulnerabilities can be helpful for the policy making to remove or reduce the effect of software vulnerabilities. In order to understand the emerging pattern in the software vulnerabilities, taking advantage of the complex network theory, this paper considers the software vulnerability market as a dynamic complex system and then proposes a heterogeneous ne...

Abstract Residual closeness is recently proposed as a vulnerability measure to characterize the stability of complex networks. essential in analysis networks, but costly compute. Currently, fastest known algorithms run polynomial time. Motivated by fast-growing need compute measures on new for computing node and edge residual are introduced this paper. Those reduce running times Θ(n 3 ) Θ (n 4 ...

Intruders often combine exploits against multiple vulnerabilities in order to break into the system. Each attack scenario is a sequence of exploits launched by an intruder that leads to an undesirable state such as access to a database, service disruption, etc. The collection of possible attack scenarios in a computer network can be represented by a directed graph, called network attack gra...

As network components grow larger and more diverse, and as securing them on a host-by-host basis grow more difficult, more sites are turning to a network security model. We concentrate on controlling network access to various hosts and the services they offer, rather than on securing them one by one with a network security model. We present how the policy rules from vulnerabilities stored in SV...

Our dependence on networks – be they infrastructure, economic, social or others – leaves us prone to crises caused by the vulnerabilities of these networks. There is a great need to develop new methods to protect infrastructure networks and prevent cascade of failures (especially in cases of coupled networks). Terrorist attacks on transportation networks have traumatized modern societies. With ...

Controllability of complex networks has attracted much attention, and understanding the robustness of network controllability against potential attacks and failures is of practical significance. In this paper, we systematically investigate the attack vulnerability of network controllability for the canonical model networks as well as the real-world networks subject to attacks on nodes and edges...