Andrei Petrovski

75 papers A 3B 10C 21Misc 2Journal 19Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision. CoRR Ali Rohan, Md Junayed Hasan, Andrei Petrovski
2025	Misc	`conf`	DataDRILL: Resilience Testbed for Industrial Cyber-physical Systems. COMSNETS Murshedul Arifeen, Igor V. Kotenko, Andrei Petrovski, Phil Hassard
2024	J	`jnl`	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. Tiwonge Msulira Banda, Alexandru-Ciprian Zavoianu, Andrei Petrovski, Daniel Wöckinger, Gerd Bramerdorfer
2024	B	`conf`	Assessing the Performance of Ethereum and Hyperledger Fabric Under DDoS Attacks for Cyber-Physical Systems. ARES Vijay Jayadev, Naghmeh Moradpoor, Andrei Petrovski
2024	—	`conf`	Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection. ESORICS Workshops (2) Janaka Senanayake, Harsha Kalutarage, Luca Piras, Mhd Omar Al-Kadri, Andrei Petrovski
2024	J	`jnl`	DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs. CoRR Murshedul Arifeen, Andrei Petrovski, Md Junayed Hasan, Igor V. Kotenko, Maksim Sletov, Phil Hassard
2024	J	`jnl`	Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI. J. Inf. Secur. Appl. Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, Luca Piras, M. Omar Al-Kadri
2024	C	`conf`	HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks. EANN Zeeshan Ahmad, Andrei Petrovski, Murshedul Arifeen, Adnan Shahid Khan, Syed Aziz Shah
2024	J	`jnl`	Optimized common features selection and deep-autoencoder (OCFSDA) for lightweight intrusion detection in Internet of things. Int. J. Inf. Sec. Uneneibotejit Otokwala, Andrei Petrovski, Harsha Kalutarage
2024	—	`conf`	Securing Cyber-Physical Systems with Two-level Anomaly Detection Strategy. ICPS Zeeshan Ahmad, Andrei Petrovski
2024	—	`conf`	Temporal Graph Convolutional Autoencoder based Fault Detection for Renewable Energy Applications. ICPS Murshedul Arifeen, Andrei Petrovski
2023	J	`jnl`	AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. ACM Comput. Surv. Sampath Rajapaksha, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo, Madeline Cheah
2023	—	`conf`	Advanced Persistent Threats Detection based on Deep Learning Approach. ICPS Hope Nkiruka Eke, Andrei Petrovski
2023	B	`conf`	Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. DBSec Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras
2023	J	`jnl`	Android Source Code Vulnerability Detection: A Systematic Literature Review. ACM Comput. Surv. Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras
2023	—	`conf`	Bayesian Optimized Autoencoder for Predictive Maintenance of Smart Packaging Machines. ICPS Murshedul Arifeen, Andrei Petrovski
2023	J	`jnl`	Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system. J. Inf. Secur. Appl. Sampath Rajapaksha, Harsha Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo
2023	J	`jnl`	CBANet: An End-to-End Cross-Band 2-D Attention Network for Hyperspectral Change Detection in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. Yinhe Li, Jinchang Ren, Yijun Yan, Qiaoyuan Liu, Ping Ma, Andrei Petrovski, Haijiang Sun
2023	—	`conf`	Ensemble Common Features Technique for Lightweight Intrusion Detection in Industrial Control System. ICPS Uneneibotejit Otokwala, Andrei Petrovski
2023	—	`conf`	FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. ESORICS Workshops (2) Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, M. Omar Al-Kadri, Luca Piras
2023	—	`conf`	Improving In-vehicle Networks Intrusion Detection Using On-Device Transfer Learning. VehicleSec Sampath Rajapaksha, Harsha Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo
2023	C	`conf`	Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. SECRYPT Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Luca Piras, Andrei Petrovski
2023	Misc	`conf`	Optimising Linear Regression for Modelling the Dynamic Thermal Behaviour of Electrical Machines using NSGA-II, NSGA-III and MOEA/D. SYNASC Tiwonge Msulira Banda, Alexandru-Ciprian Zavoianu, Andrei Petrovski, Daniel Wöckinger, Gerd Bramerdorfer
2022	—	`conf`	A Comparative Study of Novelty Detection Models for Zero Day Intrusion Detection in Industrial Internet of Things. UKCI Uneneibotejit Otokwala, Murshedul Arifeen, Andrei Petrovski
2022	J	`jnl`	An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
2022	C	`conf`	Topology for Preserving Feature Correlation in Tabular Synthetic Data. SIN Murshedul Arifeen, Andrei Petrovski
2021	C	`ed.`	14th International Conference on Security of Information and Networks, SIN 2021, Edinburgh, United Kingdom, December 15-17, 2021 SIN Naghmeh Moradpoor, Atilla Elçi, Andrei Petrovski
2021	C	`conf`	Automated Microsegmentation for Lateral Movement Prevention in Industrial Internet of Things (IIoT). SIN Murshedul Arifeen, Andrei Petrovski, Sergey Petrovski
2021	C	`conf`	Comparative Study of Malware Detection Techniques for Industrial Control Systems. SIN Deborah Reid, Ian Harris, Andrei Petrovski
2021	C	`conf`	Improving Intrusion Detection Through Training Data Augmentation. SIN Uneneibotejit Otokwala, Andrei Petrovski, Harsha K. Kalutarage
2021	J	`jnl`	On the class overlap problem in imbalanced data classification. Knowl. Based Syst. Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski
2020	C	`conf`	Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data. SIN Farzan Majdani, Lynne Batik, Andrei Petrovski, Sergey Petrovski
2020	C	`conf`	Detection of False Command and Response Injection Attacks for Cyber Physical Systems Security and Resilience. SIN Hope Nkiruka Eke, Andrei Petrovski, Hatem Ahriz
2020	J	`jnl`	Handling Minority Class Problem in Threats Detection Based on Heterogeneous Ensemble Learning Approach. Int. J. Syst. Softw. Secur. Prot. Hope Eke, Andrei Petrovski, Hatem Ahriz
2020	J	`jnl`	Sensitivity analysis applied to fuzzy inference on the value of information in the oil and gas industry. Int. J. Appl. Decis. Sci. Martin Vilela, Gbenga Folorunso Oluyemi, Andrei Petrovski
2019	J	`jnl`	Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. J. Cloud Comput. Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
2019	—	`conf`	Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. ICETE (2) Idris Zakariyya, M. Omar Al-Kadri, Harsha K. Kalutarage, Andrei Petrovski
2019	C	`conf`	The use of machine learning algorithms for detecting advanced persistent threats. SIN Hope Nkiruka Eke, Andrei Petrovski, Hatem Ahriz
2018	J	`jnl`	A framework for achieving the required degree of multitenancy isolation for deploying components of a cloud-hosted service. Int. J. Cloud Comput. Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
2018	B	`conf`	Botnet Detection in the Internet of Things using Deep Learning Approaches. IJCNN Christopher D. McDermott, Farzan Majdani, Andrei Petrovski
2018	J	`jnl`	Degrees of tenant isolation for cloud-hosted software services: a cross-case analysis. J. Cloud Comput. Laud Charles Ochei, Julian M. Bass, Andrei Petrovski
2018	C	`conf`	Evolutionary Computation for Optimal Component Deployment with Multitenancy Isolation in Cloud-hosted Applications. INISTA Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
2018	J	`jnl`	Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. Evol. Syst. Farzan Majdani, Andrei Petrovski, Daniel C. Doolan
2018	B	`conf`	Fuzzy Data Analysis Methodology for the Assessment of Value of Information in the Oil and Gas Industry. FUZZ-IEEE Martin Vilela, Gbenga Folorunso Oluyemi, Andrei Petrovski
2018	B	`conf`	Generic Application of Deep Learning Framework for Real-Time Engineering Data Analysis. IJCNN Farzan Majdani, Andrei Petrovski, Sergey Petrovski
2018	—	`conf`	Overlap-Based Undersampling for Improving Imbalanced Data Classification. IDEAL (1) Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski, Chrisina Jayne
2017	J	`jnl`	A framework for unsupervised change detection in activity recognition. Int. J. Pervasive Comput. Commun. Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan
2016	J	`jnl`	Clustering and Nearest Neighbour Based Classification Approach for Mobile Activity Recognition. J. Mobile Multimedia Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski
2016	C	`conf`	Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment. EANN Farzan Majdani, Andrei Petrovski, Daniel C. Doolan
2016	—	`conf`	Implementing the Required Degree of Multitenancy Isolation: A Case Study of Cloud-Hosted Bug Tracking System. SCC Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
2016	C	`conf`	Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance. EANN Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski
2016	C	`conf`	UDetect: Unsupervised Concept Change Detection for Mobile Activity Recognition. MoMM Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan
2015	C	`conf`	ClusterNN: A Hybrid Classification Approach to Mobile Activity Recognition. MoMM Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski
2015	C	`conf`	Designing a context-aware cyber physical system for detecting security threats in motor vehicles. SIN Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski
2015	—	`conf`	Evaluating Degrees of Multitenancy Isolation: A Case Study of Cloud-Hosted GSD Tools. ICCAC Laud Charles Ochei, Julian M. Bass, Andrei Petrovski
2014	C	`conf`	Adaptive fault detection tool for real-time integrity monitoring of Subsea Control Systems. INISTA Frederic Bouchet, Andrei Petrovski
2014	—	`conf`	Automated inferential measurement system for traffic surveillance: Enhancing situation awareness of UAVs by computational intelligence. CICA Prapa Rattadilok, Andrei Petrovski
2014	—	`conf`	Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence. EALS Prapa Rattadilok, Andrei Petrovski
2013	C	`conf`	Anomaly Monitoring Framework Based on Intelligent Data Analysis. IDEAL Prapa Rattadilok, Andrei Petrovski, Sergey Petrovski
2013	—	`conf`	Inferential measurements for situation awareness. CIVEMSA Prapa Rattadilok, Andrei Petrovski
2013	C	`conf`	Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. IDEAL Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2012	B	`conf`	Adaptation of smard grid technologies. FUZZ-IEEE Andrew Malakhov, Petr Kopyriulin, Sergey Petrovski, Andrei Petrovski
2012	B	`conf`	Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall
2012	B	`conf`	D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	—	`conf`	Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	C	`conf`	Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	—	`conf`	Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. MCDM Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2010	—	`conf`	A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2010	B	`conf`	Evolved Bayesian Network models of rig operations in the gulf of Mexico. IEEE Congress on Evolutionary Computation François A. Fournier, John A. W. McCall, Andrei Petrovski, Peter J. Barclay
2008	A	`conf`	An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
2006	A	`conf`	Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. GECCO Andrei Petrovski, Siddhartha Shakya, John A. W. McCall
2005	—	`conf`	Smart problem solving environment for medical decision support. GECCO Workshops Andrei Petrovski, John A. W. McCall
2005	B	`conf`	Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall
2004	A	`conf`	Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. PPSN Andrei Petrovski, Bhavani Sudha, John A. W. McCall
2001	C	`conf`	Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. EMO Andrei Petrovski, John A. W. McCall