Publications & Demonstrators

All accepted publications from SPARTA partners under its funding as well as videos presenting some of the work done under SPARTA

Publications

Methodology and Feedback about Systematic Cybersecurity Experts Auditing in Belgium

Christophe Ponsard, Jeremy Grandclaudon and Nicolas Point

Increasing the maturity of SMEs with respect to cybersecurity threats is crucial as they are less prepared and less resilient. They are also increasingly exposed and targeted by malicious actors. Providing support means ensuring an effective ecosystem is available to help companies all along the process. Resources have to be...More>>

Domains: audit, smes

MadDroid: Characterising and Detecting Devious Ad Content for Android Apps

Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé and Jacques Klein

Advertisement drives the economy of the mobile app ecosystem. As a key component in the mobile ad business model, mobile ad content has been overlooked by the research community, which poses a number of threats, e.g., propagating malware and undesirable contents. To understand the practice of these devious ad behaviors,...More>>

Domains: Cryptography, Security, Software, Engineering

A Survey on Multi-Factor Authentication for Online Banking in the Wild

Federico Sinigaglia, Roberto Carbone, Gabriele Costa, Nicola Zannone

In recent years, the usage of online banking services has considerably increased. To protect the sensitive resources managed by these services against attackers, banks have started adopting Multi-Factor Authentication (MFA). To date, a variety of MFA solutions have been implemented by banks, leveraging different designs and features and providing a...More>>

Domains: Multi-Factor, Authentication, Online, Banking, Mobile, Remote, Payments, Legal, Compliance, Threat, Models, Field, Study

WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs

Luca Demetrio, Gabriele Costa, Andrea Valenza and Giovanni Lagorio

Web Application Firewalls (WAFs) are plug-and-play security gateways that promise to enhance the security of a (potentially vulnerable) system with minimal cost and configuration. In recent years, machine learning-based WAFs are catching up with traditional, signature-based ones. They are competitive because they do not require predefined rules; instead, they infer...More>>

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Big Data Analytics for Intrusion Detection: An Overview

Luis Dias, Miguel Correia

Intrusion detection has become a problem of big data, with a semantic gap between vast security data sources and real knowledge about threats. The use of machine learning (ML) algorithms on big data has already been successfully applied in other domains. Hence, this approach is promising for dealing with cyber...More>>

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xMP: Selective Memory Protection for Kernel and User Space

Sergej Proskurin, Marius Momeu, Seyedhamed Ghavamnia, Vasileios P. Kemerlis, and Michalis Polychronakis

Attackers leverage memory corruption vulnerabil-ities to establish primitives forreadingfrom orwritingto theaddress space of a vulnerable process. These primitives formthe foundation for code-reuse and data-oriented attacks. Whilevarious defenses against the former class of attacks have proveneffective, mitigation of the latter remains an open problem.In this paper, we identify various shortcomings of...More>>

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OutGene: Detecting Undefined Network Attacks with Time Stretching and Genetic Zooms

Luís Dias, Hélder Reia, Rui Neves and Miguel Correia

The paper presents OutGene, an approach for streaming detection of malicious activity without previous knowledge about attacks or training data. OutGene uses clustering to aggregate hosts with similar behavior. To assist human analysts on pinpointing malicious clusters, we introduce the notion of genetic zoom, that consists in using a genetic...More>>

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A Privacy-Enhancing Framework for Internet of Things Services

Lukas Malina, Gautam Srivastava, Petr Dzurenda, Jan Hajny and Sara Ricci

The world has seen an influx of connected devices through both smart devices and smart cities, paving the path forward for the Internet of Things (IoT). These emerging intelligent infrastructures and applications based on IoT can be beneficial to users only if essential private and secure features are assured. However,...More>>

Domains: privacy, iot

Discontinued Privacy: Personal Data Leaks in Apple Bluetooth-Low-Energy Continuity Protocols

Guillaume Celosia, Mathieu Cunche

Apple Continuity protocols are the underlying network component of Apple Continuity services which allow seamless nearby applications such as activity and file transfer, device pairing and sharing a network connection. Those protocols rely on Bluetooth Low Energy (BLE) to exchange information between devices: Apple Continuity messages are embedded in the...More>>

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