Publications & Demonstrators

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

Publications

Natural Projection as Partial Model Checking

Costa, G.; Galletta, L.; Degano, P.; Basin, D.; Bodei, C.

Verifying the correctness of a system as a whole requires establishing that it satisfies a global specification. When it does not, it would be helpful to determine which modules are incorrect. As a consequence, specification decomposition is a relevant problem from both a theoretical and practical point of view. Until...More>>

Domains: Model, Checking

Towards formal verification of IoT protocols: A Review

Katharina Hofer-Schmitz, Branka Stojanovi

Formal Verification is one of the crucial methods to detect possible weaknesses and vulnerabilities at an early stage. This paper reviews formal methods for an extensive variety of protocols used in the IoT environment. It gives detailed descriptions of the considered properties and the applied methods. An in-depth literature...More>>

Domains: Formal, verification, Security, Protocols, Model, checkers, IoT

Enhancing Security in 6G Visible Light Communications

Simone Soderi

This paper considers improving the confidentiality of the next generation of wireless communications by using the watermark-based blind physical layer security (WBPLSec) in Visible Light Communications (VLCs). Since the growth of wireless applications and service, the demand for a secure and fast data transfer connection requires new technology solutions...More>>

Domains: free-space, optical, communication, jamming, light, emitting, diodes, spread, spectrum, telecommunication, security, watermarking

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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