activity
20142026
most citedDelta State Replicated Data Types

80 citations · 104 across the 21 of their papers we have counts for

collaborators

21 papers

cs.RO2026

Herding End-to-End Autonomous Driving via Neuro-Symbolic Safety Guards

Simón Patiño Idarraga, Erick Silva, Rehana Yasmin +1

Modern end-to-end driving agents can achieve high average performance yet still violate basic traffic rules that a human driver would never miss. The reason is structural: they lea…

cs.DC2026

FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations

Ziwu Liu, Inês Pinto Gouveia, Rehana Yasmin +2

Federated learning over low Earth orbit (LEO) satellite networks is limited by frequent link changes, short contact times, and a highly dynamic topology, making centralized or sync…

cs.CR2026

Scalable Malware Family Classification Using Quantum Kernel Based Machine Learning

Ratun Rahman, Hassan Jalil Hadi, Christopher Gabriel Pedraza Pohlenz +1

The classification of malware families is a key challenge in cybersecurity, which enables threat attribution, analysis of attack operations, and the formulation of effective defens…

cs.CR2026

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

Hassan Jalil Hadi, Rehana Yasmin, Ali Shoker

Rule-based Intrusion Detection and Prevention Systems (IDPS) offer precise attack detection as well as mitigation, however their manually crafted, signature-driven rules limit adap…

cs.CR2026

Toward Space-Based Public Key Systems: Enabling Secure Space Communications through In-Orbit Trust Services

Rehana Yasmin, Paulo Esteves-Verissimo, Ali Shoker

The New Space era has led to a rapid increase in satellites operated by independent entities in near-Earth orbit. This shift enables richer space services but also requires secure,…

cs.CR2026

LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution

Christopher G. Pedraza Pohlenz, Hassan Jalil Hadi, Ali Hassan +1

LLMs are increasingly explored for malware analysis; however, current LLM-based malware attribution remains limited by unsupported indicators and insufficient code-level grounding…

cs.AI2026

CRASH: Cognitive Reasoning Agent for Safety Hazards in Autonomous Driving

Erick Silva, Rehana Yasmin, Ali Shoker

As AVs grow in complexity and diversity, identifying the root causes of operational failures has become increasingly complex. The heterogeneity of system architectures across manuf…

cs.CR2025

EVSOAR: Security Orchestration, Automation and Response via EV Charging Stations

Tadeu Freitas, Erick Silva, Rehana Yasmin +4

Vehicle cybersecurity has emerged as a critical concern, driven by the innovation in the automotive industry, e.g., automomous, electric, or connnected vehicles. Current efforts to…

eess.SY2025★ 2 cited

EVOLVE: a Value-Added Services Platform for Electric Vehicle Charging Stations

Erick Silva, Tadeu Freitas, Rehana Yasmin +2

A notable challenge in Electric Vehicle (EV) charging is the time required to fully charge the battery, which can range from 15 minutes to 2-3 hours. This idle period, however, pre…

cs.CR2024

ResiLogic: Leveraging Composability and Diversity to Design Fault and Intrusion Resilient Chips

Ahmad T. Sheikh, Ali Shoker, Suhaib A. Fahmy +1

A long-standing challenge is the design of chips resilient to faults and glitches. Both fine-grained gate diversity and coarse-grained modular redundancy have been used in the past…

cs.AR2024

Resilient and Secure Programmable System-on-Chip Accelerator Offload

Inês Pinto Gouveia, Ahmad T. Sheikh, Ali Shoker +2

Computational offload to hardware accelerators is gaining traction due to increasing computational demands and efficiency challenges. Programmable hardware, like FPGAs, offers a pr…

cs.AI2024

Savvy: Trustworthy Autonomous Vehicles Architecture

Ali Shoker, Rehana Yasmin, Paulo Esteves-Verissimo

The increasing interest in Autonomous Vehicles (AV) is notable due to business, safety, and performance reasons. While there is salient success in recent AV architectures, hinging…

cs.CR2023

Intrusion Resilience Systems for Modern Vehicles

Ali Shoker, Vincent Rahli, Jeremie Decouchant +1

Current vehicular Intrusion Detection and Prevention Systems either incur high false-positive rates or do not capture zero-day vulnerabilities, leading to safety-critical risks. In…

cs.CR2023★ 2 cited

ScalOTA: Scalable Secure Over-the-Air Software Updates for Vehicles

Ali Shoker, Fernando Alves, Paulo Esteves-Verissimo

Over-the-Air (OTA) software updates are becoming essential for electric/electronic vehicle architectures in order to reduce recalls amid the increasing software bugs and vulnerabil…

cs.CR2023★ 9 cited

Digital Sovereignty Strategies for Every Nation

Ali Shoker

Digital Sovereignty must be on the agenda of every modern nation. Digital technology is becoming part of our life details, from the vital essentials, like food and water management…

cs.CR2023

The Path to Fault- and Intrusion-Resilient Manycore Systems on a Chip

Ali Shoker, Paulo Esteves Verissimo, Marcus Völp

The hardware computing landscape is changing. What used to be distributed systems can now be found on a chip with highly configurable, diverse, specialized and general purpose unit…

cs.CR2023

System on Chip Rejuvenation in the Wake of Persistent Attacks

Ahmad T Sheikh, Ali Shoker, Paulo Esteves-Verissimo

To cope with the ever increasing threats of dynamic and adaptive persistent attacks, Fault and Intrusion Tolerance (FIT) is being studied at the hardware level to increase critical…

cs.DC2017★ 8 cited

Pure Operation-Based Replicated Data Types

Carlos Baquero, Paulo Sergio Almeida, Ali Shoker

Distributed systems designed to serve clients across the world often make use of geo-replication to attain low latency and high availability. Conflict-free Replicated Data Types (C…

cs.DC2016

Exploiting Universal Redundancy

Ali Shoker

Fault tolerance is essential for building reliable services; however, it comes at the price of redundancy, mainly the "replication factor" and "diversity". With the increasing reli…

cs.DC2016★ 80 cited

Delta State Replicated Data Types

Paulo Sérgio Almeida, Ali Shoker, Carlos Baquero

CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through dissemin…

cs.DC2014★ 3 cited

Efficient State-based CRDTs by Delta-Mutation

Paulo Sérgio Almeida, Ali Shoker, Carlos Baquero

CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through dissemin…