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Dr. Antonio Ken Iannillo
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Academic Career Length
13Years (2014-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 November 2014
Conference Paper
DCD. Cotroneo
D. Cotroneo
Luigi De SimoneAIAntonio Ken Iannillo
Antonio Ken IannilloALA. Lanzaro
A. Lanzaro
Roberto NatellaWPWang Ping
Wang Ping
+1
Network Function Virtualization (NFV) is an emerging solution that aims at improving the flexibility, the efficiency and the manageability of networks, by leveraging virtualization and cloud computing technologies to run network appliances in software. Nevertheless, the "notarization" of network functions imposes software reliability concerns on future networks, which will be exposed to software issues arising from virtualization technologies. In this paper, we discuss the challenges for reliability in NFVIs, and present an industrial research project on their reliability assurance, which aims at developing novel fault injection technologies and systematic guidelines for this purpose.
1 October 2016
Conference Paper
DCDomenico Cotroneo
Domenico Cotroneo
FFFrancesco Fucci
Francesco Fucci
AIAntonio Ken Iannillo
Antonio Ken IannilloRoberto NatellaRPRoberto Pietrantuono
Roberto Pietrantuono
Mobile devices are significantly complex, feature-rich, and heavily customized, thus they are prone to software reliability and performance issues. This paper considers the problem of software aging in Android mobile OS, which causes the device to gradually degrade in responsiveness, and to eventually fail. We present a methodology to identify factors (such as workloads and device configurations) and resource utilization metrics that are correlated with software aging. Moreover, we performed an empirical analysis of recent Android devices, finding that software aging actually affects them. The analysis pointed out processes and components of the Android OS affected by software aging, and metrics useful as indicators of software aging to schedule software rejuvenation actions.
23 October 2021
Book Chapter
CTChristof Ferreira Torres
Christof Ferreira TorresAIAntonio Ken Iannillo
Antonio Ken IannilloAGArthur Gervais
Arthur GervaisRSRadu State
Radu State30 June 2020 in Empirical Software Engineering
Journal Article
DCDomenico Cotroneo
Domenico CotroneoAIAntonio Ken Iannillo
Antonio Ken IannilloRoberto NatellaRPRoberto Pietrantuono
Roberto Pietrantuono1 October 2017
Conference Paper
AIAntonio Ken Iannillo
Antonio Ken IannilloRoberto NatellaDCDomenico Cotroneo
Domenico Cotroneo
CNCristina Nita-Rotaru
Cristina Nita-Rotaru
Android has become the most popular mobile OS, as it enables device manufacturers to introduce customizations to compete with value-added services. However, customizations make the OS less dependable and secure, since they can introduce software flaws. Such flaws can be found by using fuzzing, a popular testing technique among security researchers.This paper presents Chizpurfle, a novel "gray-box" fuzzing tool for vendor-specific Android services. Testing these services is challenging for existing tools, since vendors do not provide source code and the services cannot be run on a device emulator. Chizpurfle has been designed to run on an unmodified Android OS on an actual device. The tool automatically discovers, fuzzes, and profiles proprietary services. This work evaluates the applicability and performance of Chizpurfle on the Samsung Galaxy S6 Edge, and discusses software bugs found in privileged vendor services.
1 April 2015
Conference Paper
DCDomenico Cotroneo
Domenico Cotroneo
Luigi De SimoneAIAntonio Ken Iannillo
Antonio Ken IannilloALAnna Lanzaro
Anna Lanzaro
Roberto NatellaNetwork Function Virtualization (NFV) is an emerging solution that aims at improving the flexibility, the efficiency and the manageability of networks, by leveraging virtualization and cloud computing technologies to run network appliances in software. However, the “softwarization” of network functions raises reliability concerns, as they will be exposed to faults in commodity hardware and software components. In this paper, we propose a methodology for the dependability evaluation and benchmarking of NFV Infrastructures (NFVIs), based on fault injection. We discuss the application of the methodology in the context of a virtualized IP Multimedia Subsystem (IMS), and the pitfalls in the design of a reliable NFVI.
About Me
Antonio Ken IANNILLO is a research scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg, and a member of the SEDAN (Services and Data Management) group. His research focuses on software dependability and security, with an emphasis on software verification and assessment for emerging targets including ARM TrustZone for Cortex-M, Ethereum smart contracts, and the Robot Operating System (ROS). His latest research sits at the intersection of software engineering, cybersecurity, dependability, and verification, with a focus on how these areas evolve as AI becomes a first-class element of modern software. His work spans both AI for software engineering (secure coding support, vulnerability detection, intelligent testing and fuzzing, runtime monitoring, empirical studies of software quality) and software engineering for AI (verification of learning-enabled components, safety cases, adversarial robustness).
He received his PhD in Information Technologies and Electrical Engineering from the University of Naples Federico II in 2018. During his doctoral studies, he was a visiting scholar at Northeastern University, Boston.
Notable works include ChaosLLM (ISSRE 2025), ConFuzzius (EuroS&P 2021), The Eye of Horus (FC 2021), and Chizpurfle (ISSRE 2017). He has received Best Paper Awards at INTSYS 2025, ISSRE 2017, and NetSoft 2015.
He serves on the Program Committees of DSN, ISSRE, IFIP SEC, and SDML.