F. Mercaldo

发表

Timed Automata Networks for SCADA Attacks Real-Time Mitigation

F. Martinelli, A. Santone, F. Mercaldo, 2022, KES-IDT.

Robust Malware Classification via Deep Graph Networks on Call Graph Topologies

Alessio Micheli, Fabio Martinelli, Francesco Mercaldo, 2021, ESANN.

ASI-DBNet: An Adaptive Sparse Interactive ResNet-Vision Transformer Dual-Branch Network for the Grading of Brain Cancer Histopathological Images

A. Santone, Chaowei Tang, Sukun Tian, 2022, Interdisciplinary Sciences: Computational Life Sciences.

Automatic Gleason Score Diagnosis with Fuzzy Classification and Radiomic Features

A. Santone, L. Brunese, F. Mercaldo, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Cyber Risk Management: A New Challenge for Actuarial Mathematics

F. Martinelli, M. Carfora, A. Orlando, 2018 .

Data Leakage in Mobile Malware: The What, the Why, and the How

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2017 .

Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping

Giacomo Iadarola, A. Santone, F. Mercaldo, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

High Grade Brain Cancer Segmentation by means of Deep Learning

A. Santone, F. Mercaldo, Fabio Martinelli, 2022, KES.

A “pay-how-you-drive” car insurance approach through cluster analysis

G. Vaglini, A. Santone, Vittoria Nardone, 2018, Soft Computing.

Talos: no more ransomware victims with formal methods

A. Santone, A. Cimitile, C. A. Visaggio, 2017, International Journal of Information Security.

Towards Explainable Quantum Machine Learning for Mobile Malware Detection and Classification

Giacomo Iadarola, A. Santone, F. Mercaldo, 2022, Applied Sciences.

Coronavirus covid-19 detection by means of explainable deep learning

A. Santone, A. Reginelli, L. Brunese, 2023, Scientific Reports.

On the Resilience of Shallow Machine Learning Classification in Image-based Malware Detection

Giacomo Iadarola, A. Santone, F. Mercaldo, 2022, KES.

Exploring the Usage of Topic Modeling for Android Malware Static Analysis

Eric Medvet, Francesco Mercaldo, Eric Medvet, 2016, 2016 11th International Conference on Availability, Reliability and Security (ARES).

Thermal Ablation Treatment Detection by means of Machine Learning

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

An ensemble learning approach for brain cancer detection exploiting radiomic features

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2020, Comput. Methods Programs Biomed..

DECAB-LSTM: Deep Contextualized Attentional Bidirectional LSTM for cancer hallmark classification

Antonella Santone, Francesco Mercaldo, Xuan Sun, 2020, Knowl. Based Syst..

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2020, Computer Methods and Programs in Biomedicine.

Machine learning for coronavirus covid-19 detection from chest x-rays

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2020, Procedia Computer Science.

Deep learning for heart disease detection through cardiac sounds

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2020, KES.

Radiomics for Gleason Score Detection through Deep Learning

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2020, Sensors.

A Proposal to Ensure Social Distancing with Deep Learning-based Object Detection

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Diabetes Mellitus Affected Patients Classification and Diagnosis through Machine Learning Techniques

Antonella Santone, Francesco Mercaldo, Vittoria Nardone, 2017, KES.

LPCANet: Classification of Laryngeal Cancer Histopathological Images Using a CNN with Position Attention and Channel Attention Mechanisms

A. Santone, Yanqing Shao, Chaowei Tang, 2021, Interdisciplinary Sciences: Computational Life Sciences.

A Neural Network-Based Method for Respiratory Sound Analysis and Lung Disease Detection

A. Santone, A. Reginelli, L. Brunese, 2022, Applied Sciences.

Automatic PI-RADS assignment by means of formal methods

Francesco Mercaldo, A. Santone, L. Brunese, 2021, La radiologia medica.

Radiomic features for prostate cancer grade detection through formal verification

Francesco Mercaldo, A. Santone, A. Giovagnoni, 2021, La radiologia medica.

FABNet: Fusion Attention Block and Transfer Learning for Laryngeal Cancer Tumor Grading in P63 IHC Histopathology Images

A. Santone, Xiaoheng Tan, F. Mercaldo, 2021, IEEE Journal of Biomedical and Health Informatics.

Towards an interpretable deep learning model for mobile malware detection and family identification

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2021, Comput. Secur..

Classification of ransomware families with machine learning based on N-gram of opcodes

Arun Kumar Sangaiah, Fabio Martinelli, Xi Xiao, 2019, Future Gener. Comput. Syst..

Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2020, IoTBDS.

Effectiveness of Opcode ngrams for Detection of Multi Family Android Malware

Eric Medvet, Gerardo Canfora, Corrado Aaron Visaggio, 2015, 2015 10th International Conference on Availability, Reliability and Security.

Human behavior characterization for driving style recognition in vehicle system

Arun Kumar Sangaiah, Antonella Santone, Fabio Martinelli, 2020, Comput. Electr. Eng..

Blood Cells Counting and Localisation through Deep Learning Object Detection

A. Santone, M. Cesarelli, F. Mercaldo, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Deep learning for image-based mobile malware detection

A. Santone, F. Mercaldo, 2020, Journal of Computer Virology and Hacking Techniques.

On the Influence of Image Settings in Deep Learning-based Malware Detection

F. Martinelli, A. Santone, F. Mercaldo, 2022, ICISSP.

A Novel Classification Technique based on Formal Methods

A. Santone, G. Canfora, F. Mercaldo, 2023, ACM Transactions on Knowledge Discovery from Data.

A novel methodology for head and neck carcinoma treatment stage detection by means of model checking

A. Santone, A. Reginelli, L. Brunese, 2022, Artif. Intell. Medicine.

An Innovative Prostate Cancer Detection Method via Model Checking

Antonella Santone, Francesco Mercaldo, Alfonso Reginelli, 2021 .

A Methodology based on Formal Methods for Thermal Ablation Area Detection

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2021, BIOINFORMATICS.

Model checking and machine learning techniques for HummingBad mobile malware detection and mitigation

Antonella Santone, Gigliola Vaglini, Francesco Mercaldo, 2020, Simul. Model. Pract. Theory.

Detecting Colluding Inter-App Communication in Mobile Environment

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2020, Applied Sciences.

Call Graph and Model Checking for Fine-Grained Android Malicious Behaviour Detection

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2020, Applied Sciences.

BPM perspectives to support ICSs: Exploiting the integration of formal verifications into investment service provision processes

Antonella Santone, Francesco Mercaldo, Tomasz Dyczkowski, 2020, Ind. Manag. Data Syst..

Colluding Android Apps Detection via Model Checking

Antonella Santone, Francesco Mercaldo, Vittoria Nardone, 2020, AINA Workshops.

Model checking for malicious family detection and phylogenetic analysis in mobile environment

Antonella Santone, Gigliola Vaglini, Nicoletta De Francesco, 2020, Comput. Secur..

Accidental Sensitive Data Leaks Prevention via Formal Verification

Antonella Santone, Francesco Mercaldo, Fausto Fasano, 2020, ICISSP.

Android Run-time Permission Exploitation User Awareness by Means of Formal Methods

Antonella Santone, Francesco Mercaldo, Fausto Fasano, 2020, ICISSP.

Formal Methods for Prostate Cancer Gleason Score and Treatment Prediction using Radiomic Biomarkers.

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2020, Magnetic resonance imaging.

User Authentication through Keystroke Dynamics by means of Model Checking: A Proposal

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2019, 2019 IEEE International Conference on Big Data (Big Data).

A Model Checking based Proposal for Mobile Colluding Attack Detection

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2019, 2019 IEEE International Conference on Big Data (Big Data).

LEILA: Formal Tool for Identifying Mobile Malicious Behaviour

Gerardo Canfora, Antonella Santone, Fabio Martinelli, 2019, IEEE Transactions on Software Engineering.

Spyware Detection using Temporal Logic

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2019, ICISSP.

Model Checking to Detect the Hummingbad Malware

Antonella Santone, Gigliola Vaglini, Fabio Martinelli, 2019, IDC.

Formal Methods for Android Banking Malware Analysis and Detection

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2019, 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS).

Model Checking for Data Anomaly Detection

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2019, KES.

Evaluating model checking for cyber threats code obfuscation identification

Aniello Cimitile, Arun Kumar Sangaiah, Antonella Santone, 2018, J. Parallel Distributed Comput..

Identifying Insecure Features in Android Applications using Model Checking

Fabio Martinelli, Francesco Mercaldo, Vittoria Nardone, 2018, ICISSP.

Talos: no more ransomware victims with formal methods

Aniello Cimitile, Antonella Santone, Corrado Aaron Visaggio, 2018, International Journal of Information Security.

Malware and Formal Methods: Rigorous Approaches for detecting Malicious Behaviour

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2017, ARES.

Formal Methods Meet Mobile Code Obfuscation Identification of Code Reordering Technique

Aniello Cimitile, Antonella Santone, Fabio Martinelli, 2017, 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

Twinkle twinkle little DroidDream, How I wonder what you are?

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2017, 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace).

How Discover a Malware using Model Checking

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2017, AsiaCCS.

Identifying Mobile Repackaged Applications through Formal Methods

Antonella Santone, Fabio Martinelli, Corrado Aaron Visaggio, 2017, ICISSP.

Ransomware Inside Out

Antonella Santone, Francesco Mercaldo, Vittoria Nardone, 2016, 2016 11th International Conference on Availability, Reliability and Security (ARES).

Ransomware Steals Your Phone. Formal Methods Rescue It

Antonella Santone, Corrado Aaron Visaggio, Francesco Mercaldo, 2016, FORTE.

Hey Malware, I Can Find You!

Antonella Santone, Corrado Aaron Visaggio, Francesco Mercaldo, 2016, 2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

Download Malware? No, Thanks. How Formal Methods Can Block Update Attacks

Antonella Santone, Corrado Aaron Visaggio, Francesco Mercaldo, 2016, 2016 IEEE/ACM 4th FME Workshop on Formal Methods in Software Engineering (FormaliSE).

How Formal Methods can Block Update Attacks

F. Mercaldo, 2016 .

Identification of Android Malware Families with Model Checking

Antonella Santone, Corrado Aaron Visaggio, Francesco Mercaldo, 2016, ICISSP.

Anomaly detection in substation networks

Antonella Santone, Francesco Mercaldo, Paul Tavolato, 2020, J. Inf. Secur. Appl..

Visualizing the outcome of dynamic analysis of Android malware with VizMal

Eric Medvet, Antonella Santone, Andrea De Lorenzo, 2020, J. Inf. Secur. Appl..

A Methodology for Real-Time Data Verification exploiting Deep Learning and Model Checking

Antonella Santone, Francesco Mercaldo, Giovanni Capobianco, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Energy Consumption Metrics for Mobile Device Dynamic Malware Detection

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2019, KES.

Radiomic Features for Medical Images Tamper Detection by Equivalence Checking

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2019, KES.

A Blockchain Based Proposal for Protecting Healthcare Systems through Formal Methods

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2019, KES.

Formal Modeling for Magnetic Resonance Images Tamper Mitigation

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2019, KES.

Safety Critical Systems Formal Verification Using Execution Traces

Antonella Santone, Gigliola Vaglini, Fabio Martinelli, 2018, 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

Neural Networks for Lung Cancer Detection through Radiomic Features

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Driver and Path Detection through Time-Series Classification

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2018 .

Prostate Gleason Score Detection and Cancer Treatment Through Real-Time Formal Verification

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2019, IEEE Access.

On the Adoption of Radiomics and Formal Methods for COVID-19 Coronavirus Diagnosis

A. Santone, L. Brunese, M. Belfiore, 2021, Diagnostics.

Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers

Antonella Santone, Francesco Mercaldo, Luca Brunese, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A “pay-how-you-drive” car insurance approach through cluster analysis

Antonella Santone, Gigliola Vaglini, Fabio Martinelli, 2018, Soft Computing.

Driver Identification: a Time Series Classification Approach

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Android apps and user feedback: a dataset for software evolution and quality improvement

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2017, WAMA@ESEC/SIGSOFT FSE.

Android malware detection based on system call sequences and LSTM

Arun Kumar Sangaiah, Xi Xiao, Francesco Mercaldo, 2019, Multimedia Tools and Applications.

Audio signal processing for Android malware detection and family identification

Antonella Santone, Francesco Mercaldo, A. Santone, 2021, Journal of Computer Virology and Hacking Techniques.

A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images

Jin Qin, A. Santone, P. Feng, 2022, IEEE Transactions on Medical Imaging.

Transfer learning for mobile real-time face mask detection and localization

A. Santone, F. Mercaldo, 2021, J. Am. Medical Informatics Assoc..

Neural Networks for Driver Behavior Analysis

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2021, Electronics.

Malicious JavaScript Detection by Features Extraction

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2014, e Informatica Softw. Eng. J..

Emotion Recognition from Facial Expression using Explainable Deep Learning

A. Santone, M. Cesarelli, F. Mercaldo, 2022, 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).

Impact of Code Obfuscation on Android Malware Detection based on Static and Dynamic Analysis

Eric Medvet, Alberto Bartoli, Fabio Martinelli, 2018, ICISSP.

Enhanced Privacy and Data Protection using Natural Language Processing and Artificial Intelligence

Antonella Santone, Francesco Mercaldo, Fiammetta Marulli, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Cluster Analysis for Driver Aggressiveness Identification

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2018, ICISSP.

Who's Driving My Car? A Machine Learning based Approach to Driver Identification

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2018, ICISSP.

VisualDroid: automatic triage and detection of Android repackaged applications

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2020, ARES.

Hourly Global Solar Radiation Reconstruction Applying Machine Learning

Antonella Santone, Francesco Mercaldo, Giuseppe Peter Vanoli, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Improving Machine Learning Tools with Embeddings: Applications to Big Data Security

Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Bank Credit Risk Management based on Data Mining Techniques

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2020, ICISSP.

Radiomics and Artificial Intelligence Can Predict Malignancy of Solitary Pulmonary Nodules in the Elderly

A. Santone, E. Pompeo, L. Brunese, 2023, Diagnostics.

Experimenting and assessing machine learning tools for detecting and analyzing malicious behaviors in complex environments

Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo, 2018, Journal of Reliable Intelligent Environments.

A Novel Structural-Entropy-based Classification Technique for Supporting Android Ransomware Detection and Analysis

Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Explainability of radiomics through formal methods

A. Santone, L. Brunese, P. Guerriero, 2022, Comput. Methods Programs Biomed..

BRIDEMAID: An Hybrid Tool for Accurate Detection of Android Malware

Fabio Martinelli, Andrea Saracino, Francesco Mercaldo, 2017, AsiaCCS.

Mobile Family Detection through Audio Signals Classification

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2021, SECRYPT.

Detecting Android malware using sequences of system calls

Eric Medvet, Gerardo Canfora, Corrado Aaron Visaggio, 2015, DeMobile@SIGSOFT FSE.

An HMM and structural entropy based detector for Android malware: An empirical study

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2016, Comput. Secur..

Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention

A. Santone, Jing Qin, Yuchun Sun, 2022, Comput. Biol. Medicine.

Tor traffic analysis and detection via machine learning techniques

Alfredo Cuzzocrea, Gianni Vercelli, Fabio Martinelli, 2017, 2017 IEEE International Conference on Big Data (Big Data).

On the effectiveness of system API-related information for Android ransomware detection

Fabio Martinelli, Corrado Aaron Visaggio, Giorgio Giacinto, 2018, Comput. Secur..

Dynamic Mobile Malware Detection through System Call-based Image representation

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2021, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks

A. Santone, F. Mercaldo, Fabio Martinelli, 2023, Neural Computing and Applications.

Introducing Quantum Computing in Mobile Malware Detection

Giacomo Iadarola, A. Santone, F. Mercaldo, 2022, ARES.

Prostate Gleason Score Detection by Calibrated Machine Learning Classification through Radiomic Features

A. Santone, F. Merolla, A. Rocca, 2022, Applied Sciences.

Machine Learning to Identify Gender via Hair Elements

Antonella Santone, Francesco Mercaldo, Vittoria Nardone, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Exploiting Supervised Machine Learning for Driver Detection in a Real-World Environment

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2021, KES.

Detecting and Analyzing Anomalies Across Historical Data Changes: A Data-Driven Approach

Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Machine Learning for Uterine Cervix Screening

A. Santone, F. Mercaldo, Fabio Martinelli, 2022, 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE).

A Case Study of Automating User Experience-Oriented Performance Testing on Smartphones

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2013, 2013 IEEE Sixth International Conference on Software Testing, Verification and Validation.

An exploratory study on the evolution of Android malware quality

Aniello Cimitile, Fabio Martinelli, Corrado Aaron Visaggio, 2018, J. Softw. Evol. Process..

Vulnerable Smart Contract Detection by Means of Model Checking

F. Martinelli, Giacomo Iadarola, A. Santone, 2022, International Symposium on Blockchain and Secure Critical Infrastructure.

A Method for Intrusion Detection in Smart Grid

A. Santone, F. Mercaldo, Fabio Martinelli, 2022, KES.

Real-Time SCADA Attack Detection by Means of Formal Methods

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

Machine Learning Meets iOS Malware: Identifying Malicious Applications on Apple Environment

Aniello Cimitile, Fabio Martinelli, Francesco Mercaldo, 2017, ICISSP.

Detection of Obfuscation Techniques in Android Applications

Eric Medvet, Alberto Bartoli, Fabio Martinelli, 2018, ARES.

Applying Machine Learning Techniques to Detect and Analyze Web Phishing Attacks

Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo, 2018, iiWAS.

A Novel Classification Technique based on Formal Methods

A. Santone, G. Canfora, F. Mercaldo, 2023, ACM Trans. Knowl. Discov. Data.

Improving Vehicle Safety Through a Fog Collaborative Infrastructure

Gianpiero Costantino, Fabio Martinelli, Ilaria Matteucci, 2018, 2018 IEEE International Conference on Smart Computing (SMARTCOMP).

Deep learning for blood cells classification and localisation

A. Santone, F. Mercaldo, Fabio Martinelli, 2023, International Conference on Machine Vision.

CAN-Bus Attack Detection With Deep Learning

Roberto Nardone, Flora Amato, Antonella Santone, 2021, IEEE Transactions on Intelligent Transportation Systems.

TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification

Xiapu Luo, Xi Xiao, Le Yu, 2023, WWW.

A framework for supporting ransomware detection and prevention based on hybrid analysis

Francesco Mercaldo, F. Mercaldo, 2021, Journal of Computer Virology and Hacking Techniques.

R-PackDroid: API package-based characterization and detection of mobile ransomware

Fabio Martinelli, Corrado Aaron Visaggio, Giorgio Giacinto, 2017, SAC.

Android Collusion Detection by means of Audio Signal Analysis with Machine Learning techniques

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2021, KES.

Evaluating Convolutional Neural Network for Effective Mobile Malware Detection

Fabio Martinelli, Francesco Mercaldo, Fiammetta Marulli, 2017, KES.

Keystroke Analysis for User Identification using Deep Neural Networks

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Social Network Polluting Contents Detection through Deep Learning Techniques

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

R-PackDroid: Practical On-Device Detection of Android Ransomware pdf

Fabio Martinelli, Corrado Aaron Visaggio, Giorgio Giacinto, 2018, ArXiv.

Mobile Malware Detection in the Real World

Aniello Cimitile, Gerardo Canfora, Corrado Aaron Visaggio, 2016, 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C).

Towards Resilient Artificial Intelligence: Survey and Research Issues

Simon Tjoa, Peter Kieseberg, Francesco Mercaldo, 2021, 2021 IEEE International Conference on Cyber Security and Resilience (CSR).

Driver Identification Through Formal Methods

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2022, IEEE Transactions on Intelligent Transportation Systems.

Cascade Learning for Mobile Malware Families Detection through Quality and Android Metrics

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Predicting Probability of Default Under IFRS 9 Through Data Mining Techniques

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2020, AINA Workshops.

Can Machine Learning Predict Soccer Match Results?

Antonella Santone, Francesco Mercaldo, Vittoria Nardone, 2019, ICAART.

Wearable Devices for Human Activity Recognition and User Detection

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Detection of Malicious Software by Analyzing Distinct Artifacts Using Machine Learning and Deep Learning Algorithms

Antonella Santone, P. Vinod, Fabio Martinelli, 2021, Electronics.

An Innovative Framework for Supporting Social Network Polluting-content Detection and Analysis

Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo, 2019, ICEIS.

Generative Adversarial Networks in Retinal Image Classification

A. Santone, F. Mercaldo, Fabio Martinelli, 2023, Applied Sciences.

A Data Life Cycle Modeling Proposal by Means of Formal Methods

Antonella Santone, Fabio Martinelli, Francesco Mercaldo, 2019, AsiaCCS.

Identification of Anomalies in Processes of Database Alteration

Francesco Mercaldo, F. Mercaldo, 2013, 2013 IEEE Sixth International Conference on Software Testing, Verification and Validation.

A time series classification approach to game bot detection

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2017, WIMS.

Game Bot Detection in Online Role Player Game through Behavioural Features

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2017, ICSOFT.

Tor traffic analysis and identification

Fabio Martinelli, Francesco Mercaldo, F. Martinelli, 2017, 2017 AEIT International Annual Conference.

Extinguishing Ransomware - A Hybrid Approach to Android Ransomware Detection

Miroslaw Malek, Fabio Martinelli, Francesco Mercaldo, 2017, FPS.

Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection

Eric Medvet, Gerardo Canfora, Corrado Aaron Visaggio, 2016, IWSPA@CODASPY.

Vulnerability Evaluation of Android Malware Detectors against Adversarial Examples

Antonella Santone, P. Vinod, Fabio Martinelli, 2021, KES.

Model Checking for Real-Time Attack Detection in Water Distribution Systems

F. Martinelli, A. Santone, F. Mercaldo, 2022, Informatics and Automation.

Machine Learning for Driver Detection through CAN bus

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2020, 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring).

Evaluating Deep Learning Classification Reliability in Android Malware Family Detection

Antonella Santone, Francesco Mercaldo, Fabio Martinelli, 2020, 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW).

Mobile malware detection using op-code frequency histograms

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2015, 2015 12th International Joint Conference on e-Business and Telecommunications (ICETE).

Metamorphic Malware Detection Using Code Metrics

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2014, Inf. Secur. J. A Glob. Perspect..

Silent and Continuous Authentication in Mobile Environment

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2016, SECRYPT.

A Methodology for Silent and Continuous Authentication in Mobile Environment

Gerardo Canfora, Corrado Aaron Visaggio, Francesco Mercaldo, 2016, ICETE.

Cross-Organisational Process Mining in Cloud Environments

Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo, 2018, J. Inf. Knowl. Manag..

Respiratory Disease Detection through Spectogram Analysis with Explainable Deep Learning

A. Santone, L. Brunese, F. Mercaldo, 2023, 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech).

Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis

Giacomo Iadarola, A. Santone, F. Mercaldo, 2023, 2023 International Conference on Machine Learning and Applications (ICMLA).

Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation

A. Santone, F. Mercaldo, Fabio Martinelli, 2023, Sensors.

I find your behavior disturbing: Static and dynamic app behavioral analysis for detection of Android malware

Fabio Martinelli, Andrea Saracino, Corrado Aaron Visaggio, 2016, 2016 14th Annual Conference on Privacy, Security and Trust (PST).

StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation

Giacomo Iadarola, A. Santone, F. Mercaldo, 2023, ICISSP.

A Model Checking-based Approach to Malicious Family Detection in iOS Environment

Giacomo Iadarola, A. Santone, F. Mercaldo, 2022, KES.

LA-ViT: A Network With Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset

A. Santone, Xiaodong Guo, F. Mercaldo, 2024, IEEE Journal of Biomedical and Health Informatics.

A Method for Automatic Penetration Testing and Mitigation: A Red Hat Approach

Eric Filiol, Antonella Santone, Francesco Mercaldo, 2021, KES.

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

A. Santone, A. Reginelli, L. Brunese, 2020, Computer Methods and Programs in Biomedicine.

A Formal Methodology for Notational Analysis and Real-Time Decision Support in Sport Environment

Antonella Santone, Francesco Mercaldo, Giovanni Capobianco, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Isolation forest-voting fusion-multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection

A. Santone, F. Mercaldo, Hai He, 2024, Comput. Methods Programs Biomed..

Deep Convolutional Generative Adversarial Networks in Image-Based Android Malware Detection

A. Santone, F. Mercaldo, Fabio Martinelli, 2024, Computers.

A Proposal for Trustworthy Artificial Intelligence

A. Santone, F. Mercaldo, Fabio Martinelli, 2023, 2023 IEEE International Conference on Big Data (BigData).

A machine-learning framework for supporting intelligent web-phishing detection and analysis

Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo, 2019, IDEAS.

Dynamic malware detection and phylogeny analysis using process mining

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2018, International Journal of Information Security.

Model Checking Based Approach for Compliance Checking

Antonella Santone, Gigliola Vaglini, Fabio Martinelli, 2019, Inf. Technol. Control..

MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading

A. Santone, F. Mercaldo, Pan Huang, 2024, Inf. Fusion.

A Machine Learning approach to classify ventilatory efficiency

A. Santone, F. Mercaldo, Germano Guerra, 2023, 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

Deep learning for image-based mobile malware detection

Antonella Santone, Francesco Mercaldo, A. Santone, 2020, Journal of Computer Virology and Hacking Techniques.

An Explainable Method for Lung Cancer Detection and Localisation from Tissue Images through Convolutional Neural Networks

A. Santone, F. Mercaldo, M. Cesarelli, 2024, Electronics.