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ORCIDAndrei Petrovski 0001
Andrei V. Petrovski
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- affiliation: Robert Gordon University, Aberdeen, UK
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2020 – today
- 2024
[j18]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): 2559-2581 (2024)- [j17]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: 103741 (2024) - [j16]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): 3:1-3:16 (2024) - [c55]Vijay Jayadev, Naghmeh Moradpoor, Andrei Petrovski:
Assessing the Performance of Ethereum and Hyperledger Fabric Under DDoS Attacks for Cyber-Physical Systems. ARES 2024: 48:1-48:6 - [c54]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: 178-190 - [c53]Zeeshan Ahmad, Andrei Petrovski:
Securing Cyber-Physical Systems with Two-level Anomaly Detection Strategy. ICPS 2024: 1-6 - [c52]Murshedul Arifeen, Andrei Petrovski:
Temporal Graph Convolutional Autoencoder based Fault Detection for Renewable Energy Applications. ICPS 2024: 1-6 - [i2]Murshedul Arifeen, Andrei Petrovski, Md Junayed Hasan, Igor V. Kotenko, Maksim Sletov, Phil Hassard:
DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs. CoRR abs/2409.19724 (2024) - 2023
- [j15]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): 187:1-187:37 (2023) - [j14]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): 237:1-237:40 (2023) - [j13]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: 103570 (2023) - [j12]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: 1-11 (2023) - [c51]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: 339-357 - [c50]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: 426-441 - [c49]Murshedul Arifeen, Andrei Petrovski:
Bayesian Optimized Autoencoder for Predictive Maintenance of Smart Packaging Machines. ICPS 2023: 1-6 - [c48]Hope Nkiruka Eke, Andrei Petrovski:
Advanced Persistent Threats Detection based on Deep Learning Approach. ICPS 2023: 1-10 - [c47]Uneneibotejit Otokwala, Andrei Petrovski:
Ensemble Common Features Technique for Lightweight Intrusion Detection in Industrial Control System. ICPS 2023: 1-6 - [c46]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: 659-666 - [c45]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: 186-193 - 2022
- [c44]Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei V. Petrovski, Luca Piras:
Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning. AsiaCCS 2022: 1255-1257 - [c43]Sampath Rajapaksha, Harsha K. Kalutarage, M. Omar Al-Kadri, Garikayi Madzudzo, Andrei V. Petrovski:
Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security. CyCom 2022: 309-330 - [c42]Murshedul Arifeen, Andrei Petrovski:
Topology for Preserving Feature Correlation in Tabular Synthetic Data. SIN 2022: 1-6 - [c41]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: 238-249 - [i1]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 abs/2205.08438 (2022) - 2021
- [j11]Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski:
On the class overlap problem in imbalanced data classification. Knowl. Based Syst. 212: 106631 (2021) - [c40]Murshedul Arifeen, Andrei Petrovski, Sergey Petrovski:
Automated Microsegmentation for Lateral Movement Prevention in Industrial Internet of Things (IIoT). SIN 2021: 1-6 - [c39]Uneneibotejit Otokwala, Andrei Petrovski, Harsha K. Kalutarage:
Improving Intrusion Detection Through Training Data Augmentation. SIN 2021: 1-8 - [c38]Deborah Reid, Ian Harris, Andrei Petrovski:
Comparative Study of Malware Detection Techniques for Industrial Control Systems. SIN 2021: 1-6 - [e1]Naghmeh Moradpoor, Atilla Elçi, Andrei Petrovski:
14th International Conference on Security of Information and Networks, SIN 2021, Edinburgh, United Kingdom, December 15-17, 2021. IEEE 2021, ISBN 978-1-7281-9266-6 [contents] - 2020
- [j10]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): 344-362 (2020) - [j9]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): 13-37 (2020) - [c37]Farzan Majdani, Lynne Batik, Andrei Petrovski, Sergey Petrovski:
Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data. SIN 2020: 4:1-4:8 - [c36]Hope Nkiruka Eke, Andrei Petrovski, Hatem Ahriz:
Detection of False Command and Response Injection Attacks for Cyber Physical Systems Security and Resilience. SIN 2020: 10:1-10:8
2010 – 2019
- 2019
- [j8]Christopher D. McDermott, John P. Isaacs, Andrei V. Petrovski:
Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks. Informatics 6(1): 8 (2019) - [j7]Laud Charles Ochei, Andrei Petrovski, Julian M. Bass:
Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. J. Cloud Comput. 8: 1 (2019) - [c35]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: 523-528 - [c34]Hope Nkiruka Eke, Andrei Petrovski, Hatem Ahriz:
The use of machine learning algorithms for detecting advanced persistent threats. SIN 2019: 5:1-5:8 - 2018
- [j6]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): 119-133 (2018) - [j5]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): 248-281 (2018) - [j4]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: 22 (2018) - [c33]Christopher D. McDermott, Andrei V. Petrovski, Farzan Majdani:
Towards Situational Awareness of Botnet Activity in the Internet of Things. CyberSA 2018: 1-8 - [c32]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: 1-7 - [c31]Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski, Chrisina Jayne:
Overlap-Based Undersampling for Improving Imbalanced Data Classification. IDEAL (1) 2018: 689-697 - [c30]Farzan Majdani, Andrei Petrovski, Sergey Petrovski:
Generic Application of Deep Learning Framework for Real-Time Engineering Data Analysis. IJCNN 2018: 1-8 - [c29]Christopher D. McDermott, Farzan Majdani, Andrei Petrovski:
Botnet Detection in the Internet of Things using Deep Learning Approaches. IJCNN 2018: 1-8 - [c28]Laud Charles Ochei, Andrei Petrovski, Julian M. Bass:
Evolutionary Computation for Optimal Component Deployment with Multitenancy Isolation in Cloud-hosted Applications. INISTA 2018: 1-7 - 2017
- [j3]Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan:
A framework for unsupervised change detection in activity recognition. Int. J. Pervasive Comput. Commun. 13(2): 157-175 (2017) - 2016
- [j2]Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski:
Clustering and Nearest Neighbour Based Classification Approach for Mobile Activity Recognition. J. Mobile Multimedia 12(1&2): 110-124 (2016) - [c27]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: 379-386 - [c26]Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski:
Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance. EANN 2016: 161-175 - [c25]Farzan Majdani, Andrei Petrovski, Daniel C. Doolan:
Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment. EANN 2016: 198-210 - [c24]Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan:
UDetect: Unsupervised Concept Change Detection for Mobile Activity Recognition. MoMM 2016: 20-27 - 2015
- [c23]Laud Charles Ochei, Julian M. Bass, Andrei Petrovski:
Evaluating Degrees of Multitenancy Isolation: A Case Study of Cloud-Hosted GSD Tools. ICCAC 2015: 101-112 - [c22]Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski:
ClusterNN: A Hybrid Classification Approach to Mobile Activity Recognition. MoMM 2015: 263-267 - [c21]Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski:
Designing a context-aware cyber physical system for detecting security threats in motor vehicles. SIN 2015: 267-270 - 2014
- [j1]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. Evol. Comput. 22(1): 47-77 (2014) - [c20]Prapa Rattadilok, Andrei Petrovski:
Automated inferential measurement system for traffic surveillance: Enhancing situation awareness of UAVs by computational intelligence. CICA 2014: 229-236 - [c19]Prapa Rattadilok, Andrei Petrovski:
Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence. EALS 2014: 87-94 - [c18]Frederic Bouchet, Andrei Petrovski:
Adaptive fault detection tool for real-time integrity monitoring of Subsea Control Systems. INISTA 2014: 21-26 - 2013
- [c17]Prapa Rattadilok, Andrei Petrovski:
Inferential measurements for situation awareness. CIVEMSA 2013: 93-98 - [c16]Prapa Rattadilok, Andrei Petrovski, Sergey Petrovski:
Anomaly Monitoring Framework Based on Intelligent Data Analysis. IDEAL 2013: 134-141 - [c15]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. IDEAL 2013: 537-544 - 2012
- [c14]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: 1-7 - [c13]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP 2012: 75-86 - [c12]Andrew Malakhov, Petr Kopyriulin, Sergey Petrovski, Andrei Petrovski:
Adaptation of smard grid technologies. FUZZ-IEEE 2012: 1-6 - 2011
- [c11]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. MCDM 2011: 81-88 - [c10]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) 2011: 95-96 - [c9]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL 2011: 100-107 - 2010
- [c8]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: 1-7 - [c7]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) 2010: 1-10
2000 – 2009
- 2008
- [c6]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: 463-464 - 2006
- [c5]Andrei Petrovski, Siddhartha Shakya, John A. W. McCall:
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. GECCO 2006: 413-418 - 2005
- [c4]Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall:
Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation 2005: 758-764 - [c3]Andrei Petrovski, John A. W. McCall:
Smart problem solving environment for medical decision support. GECCO Workshops 2005: 152-158 - 2004
- [c2]Andrei Petrovski, Bhavani Sudha, John A. W. McCall:
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. PPSN 2004: 633-641 - 2001
- [c1]Andrei Petrovski, John A. W. McCall:
Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. EMO 2001: 531-545
Coauthor Index
Harsha K. Kalutarage
aka: Harsha Kalutarage
aka: Harsha Kalutarage
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