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About

About

Rolando Martins studied at Faculty of Science of the University of Porto (FCUP), where he also obtained his M.Sc in Informatics: Networks and Systems. As part of his Masters thesis (YapDss), he researched the field of distributed stack splitting in Prolog, exploring OrParallelism. He also worked at EFACEC as a software engineer/architect and later as a systems researcher. He obtained his Ph.D in Computer Sci- ence from FCUP, as a part of a collaborative effort between FCUP, EFACEC and Carnegie Mellon University (CMU), under the supervision of Fernando Silva, Luís Lopes and Priya Narasimhan. His Ph.D. research topic arose from his employment at EFACEC, where he was exposed to the difficulties underlying today’s railway systems and light-rail deployments, and came to understand the scientific challenges and the impact, of addressing the issues of simultaneously supporting real-time and fault-tolerance in such systems. He is a former member of the the Intel Science and Technology Center (ISTC), where he was involved in both Cloud Computing and Embedded Computing centers, and Parallel Data Lab (PDL) at CMU. At the same time, he was also a computer research scientist at YinZcam, a spinoff from CMU that provided mobile applications for the NBA, NHL, NFL and MLS, where he was involved on cloud computing, content management systems, OAuth and video streaming. He is currently an invited assistant professor at the department of Computer Science at FCUP and researcher at CRACS (Center for Research in Advanced Computing Systems) part of INESC TEC. Some of his research interests include security, privacy, intrusion tolerance, (secure) distributed systems, edge clouds, P2P, IoT, cloud-computing, fault-tolerance (byzantine and non-byzantine), operating systems (with special interest in the Linux kernel).

Interest
Topics
Details

Details

  • Name

    Rolando Martins
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st April 2012
002
Publications

2020

Employment of Secure Enclaves in Cheat Detection Hardening

Authors
Brandão, A; Resende, JS; Martins, R;

Publication
Trust, Privacy and Security in Digital Business - Lecture Notes in Computer Science

Abstract

2020

Empowering Users Through a Privacy Middleware Watchdog

Authors
Sousa, PR; Martins, R; Antunes, L;

Publication
Trust, Privacy and Security in Digital Business - Lecture Notes in Computer Science

Abstract

2019

Reputation-Based Security System For Edge Computing

Authors
Nwebonyi, FN; Martins, R; Correia, ME;

Publication
Proceedings of the 13th International Conference on Availability, Reliability and Security, ARES 2018, Hamburg, Germany, August 27-30, 2018

Abstract

2019

pTASC: trustable autonomous secure communications

Authors
Sousa, PR; Cirne, A; Resende, JS; Martins, R; Antunes, L;

Publication
Proceedings of the 20th International Conference on Distributed Computing and Networking, ICDCN 2019, Bangalore, India, January 04-07, 2019

Abstract

2019

Iris: Secure reliable live-streaming with opportunistic mobile edge cloud offloading

Authors
Martins, R; Correia, ME; Antunes, L; Silva, F;

Publication
Future Generation Computer Systems

Abstract
The ever-increasing demand for higher quality live streams is driving the need for better networking infrastructures, specially when disseminating content over highly congested areas, such as stadiums, concerts and museums. Traditional approaches to handle this type of scenario relies on a combination of cellular data, through 4G distributed antenna arrays (DAS), with a high count of WiFi (802.11) access points. This obvious requires a substantial upfront cost for equipment, planning and deployment. Recently, new efforts have been introduced to securely leverage the capabilities of wireless multipath, including WiFi multicast, 4G, and device-to-device communications. In order to solve these issues, we propose an approach that lessens the requirements imposed on the wireless infrastructures while potentially expanding wireless coverage through the crowd-sourcing of mobile devices. In order to achieve this, we propose a novel pervasive approach that combines secure distributed systems, WiFi multicast, erasure coding, source coding and opportunistic offloading that makes use of hyperlocal mobile edge clouds. We empirically show that our solution is able to offer a 11 fold reduction on the infrastructural WiFi bandwidth usage without having to modify any existing software or firmware stacks while ensuring stream integrity, authorization and authentication. © 2019 Elsevier B.V.

Supervised
thesis

2019

Privacy Preserving Middleware Platform for IoT

Author
Patrícia Raquel Vieira Sousa

Institution
UP-FCUP

2019

Android Security by Introspection

Author
João Vasco Bispo Estrela

Institution
UP-FCUP

2019

Security Enhancing Technologies for Cloud-of-Clouds

Author
João Miguel Maia Soares de Resende

Institution
UP-FCUP

2019

Control-Flow Integrity for the Linux kernel: A Security Evaluation

Author
Federico Manuel Bento

Institution
UP-FCUP

2019

Establishing Trust and Confidence Among Entities in Distributed Networks

Author
Francis Nwebonyi Nwebonyi

Institution
UP-FCUP