Will quantum computers be the end of public key encryption?
Journal Article
Buchanan, W., & Woodward, A. (2016)
Will quantum computers be the end of public key encryption?. Journal of Cyber Security Technology, 1(1), 1-22. https://doi.org/10.1080/23742917.2016.1226650
The emergence of practical quantum computers poses a significant threat to the most popular public key cryptographic schemes in current use. While we know that the well-unders...
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Journal Article
Papadopoulos, P., Thornewill Von Essen, O., Pitropakis, N., Chrysoulas, C., Mylonas, A., & Buchanan, W. J. (2021)
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. Journal of Cybersecurity and Privacy, 1(2), 252-273. https://doi.org/10.3390/jcp1020014
As the internet continues to be populated with new devices and emerging technologies, the attack surface grows exponentially. Technology is shifting towards a profit-driven In...
Password Pattern and Vulnerability Analysis for Web and Mobile Applications
Journal Article
Li, S., Romdhani, I., & Buchanan, W. (2016)
Password Pattern and Vulnerability Analysis for Web and Mobile Applications. ZTE Communications, 14, 32-36. https://doi.org/10.3969/j.issn.1673-5188.2016.S0.006
Text⁃based passwords are heavily used to defense for many web and mobile applications. In this paper, we investigated the patterns and vulnerabilities for both web and mobile ...
Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication
Journal Article
Aziz Shah, S., Ahmad, J., Tahir, A., Ahmed, F., Russell, G., Shah, S. Y., …Abbasi, Q. H. (2020)
Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication. Micromachines, 11(4), https://doi.org/10.3390/mi11040379
Nano-scaled structures, wireless sensing, wearable devices, and wireless communications systems are anticipated to support the development of new next-generation technologies ...
FPDP: Flexible Privacy-preserving Data Publishing Scheme for Smart Agriculture
Journal Article
Song, J., Zhong, Q., Su, C., Tan, Z., & Liu, Y. (2021)
FPDP: Flexible Privacy-preserving Data Publishing Scheme for Smart Agriculture. IEEE Sensors Journal, 21(16), 17430-17438. https://doi.org/10.1109/JSEN.2020.3017695
Food security is a global concern. Benefit from the development of 5G, IoT is used in agriculture to help the farmers to maintain and improve productivity. It not only enables...
O-ADPI: Online Adaptive Deep-Packet Inspector Using Mahalanobis Distance Map for Web Service Attacks Classification
Journal Article
Kakavand, M., Mustapha, A., Tan, Z., Foroozana, S., & Arulsamy, L. (2019)
O-ADPI: Online Adaptive Deep-Packet Inspector Using Mahalanobis Distance Map for Web Service Attacks Classification. IEEE Access, 7, 167141-167156. https://doi.org/10.1109/access.2019.2953791
Most active research in Host and Network Intrusion Detection Systems are only able to detect attacks of the computer systems and attacks at the network layer, which are not su...
A novel flow-vector generation approach for malicious traffic detection
Journal Article
Hou, J., Liu, F., Lu, H., Tan, Z., Zhuang, X., & Tian, Z. (2022)
A novel flow-vector generation approach for malicious traffic detection. Journal of Parallel and Distributed Computing, 169, 72-86. https://doi.org/10.1016/j.jpdc.2022.06.004
Malicious traffic detection is one of the most important parts of cyber security. The approaches of using the flow as the detection object are recognized as effective. Benefit...
Minimising collateral damage: privacy-preserving Investigative data acquisition platform.
Journal Article
Kwecka, Z., Buchanan, W. J., & Spiers, D. A. (2011)
Minimising collateral damage: privacy-preserving Investigative data acquisition platform. International Journal of Information Technologies and Systems Approach, 4, 12-31. https://doi.org/10.4018/jitsa.2011070102
Investigators define invasion of privacy during their operations as collateral damage. Inquiries that require gathering data about potential suspects from third parties, such ...
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
Journal Article
Churcher, A., Ullah, R., Ahmad, J., Ur Rehman, S., Masood, F., Gogate, M., …Buchanan, W. J. (2021)
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks. Sensors, 21(2), Article 446. https://doi.org/10.3390/s21020446
In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices i...
Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks
Journal Article
Alsarhan, A., Alauthman, M., Alshdaifat, E., Al-Ghuwairi, A., & Al-Dubai, A. (in press)
Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks. Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-021-02963-x
Machine Learning (ML) driven solutions have been widely used to secure wireless communications Vehicular ad hoc networks (VANETs) in recent studies. Unlike existing works, thi...