Andrei Petrovski

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 47

Top Topics

Imbalanced Data Classification

Linear Regression

Intrusion Detection

Top Venues

Publications

Tiwonge Msulira Banda, Alexandru-Ciprian Zavoianu, Andrei Petrovski, Daniel Wöckinger, Gerd Bramerdorfer
A Multi-Objective Evolutionary Approach to Discover Explainability Tradeoffs when Using Linear Regression to Effectively Model the Dynamic Thermal Behaviour of Electrical Machines. ACM Trans. Evol. Learn. Optim. 4 (1) (2024)
Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, Luca Piras, M. Omar Al-Kadri
Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI. J. Inf. Secur. Appl. 82 (2024)
Vijay Jayadev, Naghmeh Moradpoor, Andrei Petrovski
Assessing the Performance of Ethereum and Hyperledger Fabric Under DDoS Attacks for Cyber-Physical Systems. ARES (2024)
Zeeshan Ahmad, Andrei Petrovski, Murshedul Arifeen, Adnan Shahid Khan, Syed Aziz Shah
HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks. EANN (2024)
Uneneibotejit Otokwala, Andrei Petrovski, Harsha Kalutarage
Optimized common features selection and deep-autoencoder (OCFSDA) for lightweight intrusion detection in Internet of things. Int. J. Inf. Sec. 23 (4) (2024)
Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras
Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. DBSec (2023)
Hope Nkiruka Eke, Andrei Petrovski
Advanced Persistent Threats Detection based on Deep Learning Approach. ICPS (2023)
Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Luca Piras, Andrei Petrovski
Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. SECRYPT (2023)
Murshedul Arifeen, Andrei Petrovski
Bayesian Optimized Autoencoder for Predictive Maintenance of Smart Packaging Machines. ICPS (2023)
Tiwonge Msulira Banda, Alexandru-Ciprian Zavoianu, Andrei Petrovski, Daniel Wöckinger, Gerd Bramerdorfer
Optimising Linear Regression for Modelling the Dynamic Thermal Behaviour of Electrical Machines using NSGA-II, NSGA-III and MOEA/D. SYNASC (2023)
Sampath Rajapaksha, Harsha Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo
Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system. J. Inf. Secur. Appl. 77 (2023)
Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, M. Omar Al-Kadri, Luca Piras
FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. ESORICS Workshops (2) (2023)
Uneneibotejit Otokwala, Andrei Petrovski
Ensemble Common Features Technique for Lightweight Intrusion Detection in Industrial Control System. ICPS (2023)
Yinhe Li, Jinchang Ren, Yijun Yan, Qiaoyuan Liu, Ping Ma, Andrei Petrovski, Haijiang Sun
CBANet: An End-to-End Cross-Band 2-D Attention Network for Hyperspectral Change Detection in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Sampath Rajapaksha, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo, Madeline Cheah
AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. ACM Comput. Surv. 55 (11) (2023)
Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras
Android Source Code Vulnerability Detection: A Systematic Literature Review. ACM Comput. Surv. 55 (9) (2023)
Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR (2022)
Murshedul Arifeen, Andrei Petrovski
Topology for Preserving Feature Correlation in Tabular Synthetic Data. SIN (2022)
Uneneibotejit Otokwala, Murshedul Arifeen, Andrei Petrovski
A Comparative Study of Novelty Detection Models for Zero Day Intrusion Detection in Industrial Internet of Things. UKCI (2022)
Uneneibotejit Otokwala, Andrei Petrovski, Harsha K. Kalutarage
Improving Intrusion Detection Through Training Data Augmentation. SIN (2021)
Murshedul Arifeen, Andrei Petrovski, Sergei Petrovski
Automated Microsegmentation for Lateral Movement Prevention in Industrial Internet of Things (IIoT). SIN (2021)
Deborah Reid, Ian Harris, Andrei Petrovski
Comparative Study of Malware Detection Techniques for Industrial Control Systems. SIN (2021)
Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski
On the class overlap problem in imbalanced data classification. Knowl. Based Syst. 212 (2021)
Farzan Majdani, Lynne Batik, Andrei Petrovski, Sergey Petrovski
Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data. SIN (2020)
Hope Eke, Andrei Petrovski, Hatem Ahriz
Handling Minority Class Problem in Threats Detection Based on Heterogeneous Ensemble Learning Approach. Int. J. Syst. Softw. Secur. Prot. 11 (2) (2020)
Martin Vilela, Gbenga Folorunso Oluyemi, Andrei Petrovski
Sensitivity analysis applied to fuzzy inference on the value of information in the oil and gas industry. Int. J. Appl. Decis. Sci. 13 (3) (2020)
Hope Nkiruka Eke, Andrei Petrovski, Hatem Ahriz
Detection of False Command and Response Injection Attacks for Cyber Physical Systems Security and Resilience. SIN (2020)
Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. J. Cloud Comput. 8 (2019)
Idris Zakariyya, M. Omar Al-Kadri, Harsha K. Kalutarage, Andrei Petrovski
Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. ICETE (2) (2019)
Hope Nkiruka Eke, Andrei Petrovski, Hatem Ahriz
The use of machine learning algorithms for detecting advanced persistent threats. SIN (2019)
Martin Vilela, Gbenga Folorunso Oluyemi, Andrei Petrovski
Fuzzy Data Analysis Methodology for the Assessment of Value of Information in the Oil and Gas Industry. FUZZ-IEEE (2018)
Farzan Majdani, Andrei Petrovski, Daniel C. Doolan
Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. Evol. Syst. 9 (2) (2018)
Laud Charles Ochei, Julian M. Bass, Andrei Petrovski
Degrees of tenant isolation for cloud-hosted software services: a cross-case analysis. J. Cloud Comput. 7 (2018)
Christopher D. McDermott, Farzan Majdani, Andrei Petrovski
Botnet Detection in the Internet of Things using Deep Learning Approaches. IJCNN (2018)
Farzan Majdani, Andrei Petrovski, Sergey Petrovski
Generic Application of Deep Learning Framework for Real-Time Engineering Data Analysis. IJCNN (2018)
Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
Evolutionary Computation for Optimal Component Deployment with Multitenancy Isolation in Cloud-hosted Applications. INISTA (2018)
Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
A framework for achieving the required degree of multitenancy isolation for deploying components of a cloud-hosted service. Int. J. Cloud Comput. 7 (3/4) (2018)
Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski, Chrisina Jayne
Overlap-Based Undersampling for Improving Imbalanced Data Classification. IDEAL (1) (2018)
Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan
A framework for unsupervised change detection in activity recognition. Int. J. Pervasive Comput. Commun. 13 (2) (2017)
Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan
UDetect: Unsupervised Concept Change Detection for Mobile Activity Recognition. MoMM (2016)
Farzan Majdani, Andrei Petrovski, Daniel C. Doolan
Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment. EANN (2016)
Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski
Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance. EANN (2016)
Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
Implementing the Required Degree of Multitenancy Isolation: A Case Study of Cloud-Hosted Bug Tracking System. SCC (2016)
Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski
Clustering and Nearest Neighbour Based Classification Approach for Mobile Activity Recognition. J. Mobile Multimedia 12 (1&2) (2016)
Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski
Designing a context-aware cyber physical system for detecting security threats in motor vehicles. SIN (2015)
Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski
ClusterNN: A Hybrid Classification Approach to Mobile Activity Recognition. MoMM (2015)
Laud Charles Ochei, Julian M. Bass, Andrei Petrovski
Evaluating Degrees of Multitenancy Isolation: A Case Study of Cloud-Hosted GSD Tools. ICCAC (2015)
Prapa Rattadilok, Andrei Petrovski
Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence. EALS (2014)
Prapa Rattadilok, Andrei Petrovski
Automated inferential measurement system for traffic surveillance: Enhancing situation awareness of UAVs by computational intelligence. CICA (2014)
Frederic Bouchet, Andrei Petrovski
Adaptive fault detection tool for real-time integrity monitoring of Subsea Control Systems. INISTA (2014)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. Evol. Comput. 22 (1) (2014)
Prapa Rattadilok, Andrei Petrovski, Sergey Petrovski
Anomaly Monitoring Framework Based on Intelligent Data Analysis. IDEAL (2013)
Prapa Rattadilok, Andrei Petrovski
Inferential measurements for situation awareness. CIVEMSA (2013)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. IDEAL (2013)
Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall
Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation (2012)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP (2012)
Andrew Malakhov, Petr Kopyriulin, Sergey Petrovski, Andrei Petrovski
Adaptation of smard grid technologies. FUZZ-IEEE (2012)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. MCDM (2011)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) (2011)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL (2011)
François A. Fournier, John A. W. McCall, Andrei Petrovski, Peter J. Barclay
Evolved Bayesian Network models of rig operations in the gulf of Mexico. IEEE Congress on Evolutionary Computation (2010)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) (2010)
Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO (2008)
Andrei Petrovski, Siddhartha Shakya, John A. W. McCall
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. GECCO (2006)
Andrei Petrovski, John A. W. McCall
Smart problem solving environment for medical decision support. GECCO Workshops (2005)
Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall
Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation (2005)
Andrei Petrovski, Bhavani Sudha, John A. W. McCall
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. PPSN (2004)
Andrei Petrovski, John A. W. McCall
Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. EMO (2001)