Distributed intrusion detection for secure cooperative multi–agent systems

In this thesis we propose a solution for the problem of detecting intruders in an open set of cooperative agents. An agent can perform a finite set of maneuvers and is modeled by a hybrid system whose state is a continuous and a discrete part, representing the agents' physical evolution and logical variables, respectively. Each agent plans its behavior and chooses the appropriate maneuver to perform following a common set of shared rules designed to ensure the safety of the entire system. Since the number of agents is unknown, and since these agents have a limited knowledge of their neighborhood, they can make decisions based only on their own position, and on the configuration of a limited number of surrounding agents. Such a planning strategy is said to be decentralized. The expounded solution is an Intrusion Detecting System (IDS), based on a decentralized monitoring strategy, performed by several common local monitor modules running on--board each agent. This module tries to evaluate the behavior of neighboring agents by estimating the occurrence of the logical events described in the shared rule set. Since each monitor has a limited vision of its neighbors, in many cases it can remain uncertain about the correctness of the monitored agent's behavior. In order to solve this problem we developed a distributed consensus algorithm which, by introducing communication between agents, enhances the intrusion detection capabilities of single monitors. The effectiveness of our solution has been proved by in-depth simulations and a theoretical demonstration of the convergence of the consensus algorithm

“What i see when my eyes fall out”: anticipations, intensifications, immediacies, and transitions of identity construction, affect design, and movement building in digital spaces

This thesis project explores how social media intervenes in and co-constructs spaces, affects, communities, and identities. I demonstrate how autobiography through social media constrains, expands, automates, normalizes, and surveils us as we write, post, and share ourselves into a profoundly communal existence. I argue that social media guides our experiences and understandings of gender, race, class, and (dis)ability — by incorporating queer theory, feminist autobiography, disability justice, and narrative therapy frameworks, I recall how I have storied my life and how my life has been storied for me online over the past 20 years to curate a mad auto ethnography of social media profiles. This thesis brings together multiple interdisciplinary theoretical fields and works within emergent methodologies rooted in disability justice and madness liberation to give a surrealist sense of space and emotion reflected in both the mania of insanity and the rush of social media experience. By doing so, I demonstrate and reveal how social media impacts identities and communities via new sensations characterized by anticipation, intensification, immediacy, and transition

Resilience-Building Technologies: State of Knowledge -- ReSIST NoE Deliverable D12

This document is the first product of work package WP2, "Resilience-building and -scaling technologies", in the programme of jointly executed research (JER) of the ReSIST Network of Excellenc