Tackling denial of service attacks on key management in software-defined quantum key distribution networks

A QKD network provides an additional security layer for IT-secure cryptographic key distribution that is added to existing conventional networks. Thus, QKD network components must be resilient to security challenges from conventional network environments. This paper provided a novel solution for designing a Key Management System resistant to DoS attacks. Our solution allows applications to function securely in environments with fewer keys. In addition, we have provided approaches for allocating and managing QKD resources to avoid malicious key reservations. Simulation experiments verified the proposed solutions.Web of Science1011052011051

A deep stochastical and predictive analysis of users mobility based on Auto-Regressive processes and pairing functions

With the proliferation of connected vehicles, new coverage technologies and colossal bandwidth availability, the quality of service and experience in mobile computing play an important role for user satisfaction (in terms of comfort, security and overall performance). Unfortunately, in mobile environments, signal degradations very often affect the perceived service quality, and predictive approaches become necessary or helpful, to handle, for example, future node locations, future network topology or future system performance. In this paper, our attention is focused on an in-depth stochastic micro-mobility analysis in terms of nodes coordinates. Many existing works focused on different approaches for realizing accurate mobility predictions. Still, none of them analyzed the way mobility should be collected and/or observed, how the granularity of mobility samples collection should be set and/or how to interpret the collected samples to derive some stochastic properties based on the mobility type (pedestrian, vehicular, etc.). The main work has been carried out by observing the characteristics of vehicular mobility, from real traces. At the same time, other environments have also been considered to compare the changes in the collected statistics. Several analyses and simulation campaigns have been carried out and proposed, verifying the effectiveness of the introduced concepts.Web of Science168art. no. 10277

On the relationship between speed and mobility sampling frequency in dynamic urban networks

In the current era of mobile communications and next-generation networks, mobility analysis has a key role in guaranteeing the quality of service/experience in the available services. Although a vast amount of work has analyzed mobility from both analytic and stochastic points of view, much of it has focused on a time-based analysis and disregarded spectral features. In this article, we propose a method of analyzing the main features of mobility traces in the frequency domain and determining the possible relationships between typical mobility grades (in terms of average and maximum speed) and the required sampling frequencies. The collection and storage of mobility pattern samples when they are not required is impractical, and therefore, we attempt to demonstrate how mobility can be sampled to avoid information loss or oversampling (many works in the literature are based on a default sampling period of 1 s). The work also contributes with the proposal of a closed form for relating the sampling period and average moving speed with the spectral components. We conducted numerous simulations to confirm that, compared with classical sampling approaches that provide static behavior, it is possible to obtain a gain of about 35%-65% in the collected samples, with a negligible loss of accuracy in the reconstructed signal.Web of Scienc