Outputs (32)

Framework for detecting APTs based on steps analysis and correlation. (2022)
Book Chapter
EKE, H.N., PETROVSKI, A., AHRIZ, H. and AL-KADRI, M.O. 2022. Framework for detecting APTs based on steps analysis and correlation. In Abbaszadeh, M. and Zemouche, A. (eds.) Security and resilience in cyber-physical systems: detection, estimation and control. Cham: Springer [online], chapter 6, pages 119-147. Available from: https://doi.org/10.1007/978-3-030-97166-3_6

An advanced persistent threatAdvanced persistent threat, (APTAPT), is an attack that uses multiple attack behavior to penetrate a system, achieve specifically targeted and highly valuable goals within a system. This type of attack has presented an in... Read More about Framework for detecting APTs based on steps analysis and correlation..

Detection of false command and response injection attacks for cyber physical systems security and resilience. (2020)
Conference Proceeding
EKE, H., PETROVSKI, A. and AHRIZ, H. 2020. Detection of false command and response injection attacks for cyber physical systems security and resilience. In Proceedings of the 13th Security of information and networks international conference 2020 (SIN 2020), 4-7 November 2020, Merkez, Turkey. New York: ACM [online], article number 10, pages 1-8. Available from: https://doi.org/10.1145/3433174.3433615

The operational cyber-physical system (CPS) state, safety and resource availability is impacted by the safety and security measures in place. This paper focused on i) command injection (CI) attack that alters the system behaviour through injection of... Read More about Detection of false command and response injection attacks for cyber physical systems security and resilience..

Handling minority class problem in threats detection based on heterogeneous ensemble learning approach. (2020)
Journal Article
EKE, H., PETROVSKI, A. and AHRIZ, H. 2020. Handling minority class problem in threats detection based on heterogeneous ensemble learning approach. International journal of systems and software security and protection [online], 13(3), pages 13-37. Available from: https://doi.org/10.4018/IJSSSP.2020070102

Multiclass problem, such as detecting multi-steps behaviour of Advanced Persistent Threats (APTs) have been a major global challenge, due to their capability to navigates around defenses and to evade detection for a prolonged period of time. Targeted... Read More about Handling minority class problem in threats detection based on heterogeneous ensemble learning approach..

Predicting permeability based on core analysis. (2020)
Conference Proceeding
KONTOPOULOS, H., AHRIZ, H., ELYAN, E. and ARNOLD, R. 2020. Predicting permeability based on core analysis. In Iliadis, L., Angelov, P.P., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 21st Engineering applications of neural networks conference 2020 (EANN 2020); proceedings of the EANN 2020, 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society, vol 2. Cham: Springer [online], pages 143-154. Available from: https://doi.org/10.1007/978-3-030-48791-1_10

Knowledge of permeability, a measure of the ability of rocks to allow fluids to flow through them, is essential for building accurate models of oil and gas reservoirs. Permeability is best measured in the laboratory using special core analysis (SCAL)... Read More about Predicting permeability based on core analysis..

The use of machine learning algorithms for detecting advanced persistent threats. (2019)
Conference Proceeding
EKE, H.N., PETROVSKI, A. and AHRIZ, H. 2019. The use of machine learning algorithms for detecting advanced persistent threats. In Makarevich, O., Babenko, L., Anikeev, M., Elci, A. and Shahriar, H. (eds.). Proceedings of the 12th Security of information and networks international conference 2019 (SIN 2019), 12-15 September 2019, Sochi, Russia. New York: ACM [online], article No. 5. Available from: https://doi.org/10.1145/3357613.3357618

Advanced Persistent Threats (APTs) have been a major challenge in securing both Information Technology (IT) and Operational Technology (OT) systems. Due to their capability to navigates around defenses and to evade detection for a prolonged period of... Read More about The use of machine learning algorithms for detecting advanced persistent threats..

Combining search strategies for distributed constraint satisfaction. (2015)
Thesis
MAGAJI, A.S-M. 2015. Combining search strategies for distributed constraint satisfaction. Robert Gordon University, PhD thesis.

Many real-life problems such as distributed meeting scheduling, mobile frequency allocation and resource allocation can be solved using multi-agent paradigms. Distributed constraint satisfaction problems (DisCSPs) is a framework for describing such p... Read More about Combining search strategies for distributed constraint satisfaction..

Dynamic agent prioritisation with penalties in distributed local search. (2013)
Conference Proceeding
SAMBO-MAGAJI, A., ARANA, I. and AHRIZ, H. 2013. Dynamic agent prioritisation with penalties in distributed local search. In Filipe, J. and Fred, A. (eds.) Proceedings of the 5th International conference on agents and artificial intelligence (ICAART 2013), 15-18 February 2013, Barcelona, Spain. Setúbal: Science and Technology Publications [online], volume 1, pages 276-281. Available from: https://doi.org/10.5220/0004259202760281

Distributed Constraint Satisfaction Problems (DisCSPs) solving techniques solve problems which are distributed over a number of agents.The distribution of the problem is required due to privacy, security or cost issues and, therefore centralised prob... Read More about Dynamic agent prioritisation with penalties in distributed local search..

Plan recommendation for well engineering. (2011)
Conference Proceeding
THOMSON, R., MASSIE, S., CRAW, S., AHRIZ, H. and MILLS, I. 2011. Plan recommendation for well engineering. In Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K. and Ali, M. (eds.) Modern approaches in applied intelligence: proceedings of the 24th International conference on industrial, engineering and other applications of applied intelligent systems (IEA/AIE 2011), 28 June - 1 July 2011, Syracuse, USA. Lecture notes in computer science, 6704. Berlin: Springer [online], part II, pages 436-445. Available from: https://doi.org/10.1007/978-3-642-21827-9_45

Good project planning provides the basis for successful offshore well drilling projects. In this domain, planning occurs in two phases: an onshore phase develops a project plan; and an offshore phase implements the plan and tracks progress. The Perfo... Read More about Plan recommendation for well engineering..

Multi-HDCS: solving DisCSPs with complex local problems cooperatively. (2010)
Conference Proceeding
LEE, D., ARANA, I., AHRIZ, H. and HUI, K. 2009. Multi-HDCS: solving DisCSPs with complex local problems cooperatively. In Huang, X.J., Ghorbani, A.A., Hacid, M.-S. and Yamaguchi, T. (eds.) Proceedings of the 2010 IEEE/WIC/ACM international conference on intelligent agent technology (IAT 2010), co-located with the 2010 IEEE/WIC/ACM international conference on web intelligence (WI 2010), and the joint conference workshops (WI-IAT Workshops 2010), 31 August - 3 September 2010, Toronto, Canada. Los Alamitos: IEEE Computer Society [online], volume 2, article number 5614767, pages 295-302. Available from: https://doi.org/10.1109/WI-IAT.2010.141

We propose Multi-HDCS, a new hybrid approach for solving Distributed CSPs with complex local problems. In Multi-HDCS, each agent concurrently: (i) runs a centralised systematic search for its complex local problem; (ii) participates in a distributed... Read More about Multi-HDCS: solving DisCSPs with complex local problems cooperatively..

Hybrid algorithms for distributed constraint satisfaction. (2010)
Thesis
LEE, D.A.J. 2010. Hybrid algorithms for distributed constraint satisfaction.. Robert Gordon University, PhD thesis.

A Distributed Constraint Satisfaction Problem (DisCSP) is a CSP which is divided into several inter-related complex local problems, each assigned to a different agent. Thus, each agent has knowledge of the variables and corresponding domains of its l... Read More about Hybrid algorithms for distributed constraint satisfaction..