60 results

Evaluation on multivariate correlation analysis based denial-of-service attack detection system

Conference Proceeding
Tan, Z., Jamdagni, A., Nanda, P., He, X., & Liu, R. P. (2012)
Evaluation on multivariate correlation analysis based denial-of-service attack detection system. In SecurIT '12 Proceedings of the First International Conference on Security of Internet of Things, 160-164. https://doi.org/10.1145/2490428.2490450
In this paper, a Denial-of-Service (DoS) attack detection system is explored, where a multivariate correlation analysis technique based on Euclidean distance is applied for ne...

Evaluation of Ensemble Learning for Android Malware Family Identification

Journal Article
Wylie, J., Tan, Z., Al-Dubai, A., & Wang, J. (2020)
Evaluation of Ensemble Learning for Android Malware Family Identification. Journal of Guangzhou University (Natural Science Edition), 19(4), 28-41
Every Android malware sample generally belongs to a specific family that performs a similar set of actions and characteristics. Having the ability to effectively identify Andr...

A Multi-attributes-based Trust Model of Internet of Vehicle

Conference Proceeding
Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019)
A Multi-attributes-based Trust Model of Internet of Vehicle. In Network and System Security. , (706-713). https://doi.org/10.1007/978-3-030-36938-5_45
Internet of Vehicle (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establis...

Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis

Book Chapter
Tan, Z., Jamdagni, A., He, X., Nanda, P., & Liu, R. P. (2011)
Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis. In Neural Information Processing; Lecture Notes in Computer Science (756-765). Springer. https://doi.org/10.1007/978-3-642-24965-5_85
The reliability and availability of network services are being threatened by the growing number of Denial-of-Service (DoS) attacks. Effective mechanisms for DoS attack detecti...

Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection

Journal Article
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y. (in press)
Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications, https://doi.org/10.1007/s11036-020-01656-7
Organizations' own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component ...

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions

Journal Article
Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., …Hussain, A. (2024)
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-10219-3
ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. Howev...

Blockchain for edge-enabled smart cities applications

Journal Article
Jan, M. A., Yeh, K., Tan, Z., & Wu, Y. (2021)
Blockchain for edge-enabled smart cities applications. Journal of Information Security and Applications, 61, 102937. https://doi.org/10.1016/j.jisa.2021.102937
The Internet of Things (IoT)-enabled devices are increasing at an exponential rate and share massive data generated in smart cities around the globe. The time-critical and del...

Can Federated Models Be Rectified Through Learning Negative Gradients?

Conference Proceeding
Tahir, A., Tan, Z., & Babaagba, K. O. (2024)
Can Federated Models Be Rectified Through Learning Negative Gradients?. In Big Data Technologies and Applications (18-32). https://doi.org/10.1007/978-3-031-52265-9_2
Federated Learning (FL) is a method to train machine learning (ML) models in a decentralised manner, while preserving the privacy of data from multiple clients. However, FL is...

A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks

Journal Article
Khan, F., Ur Rehman, A., Yahya, A., Jan, M. A., Chuma, J., Tan, Z., & Hussain, K. (2019)
A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks. Sensors, 19, https://doi.org/10.3390/s19194321
The Internet of Things (IoT) is an emerging technology that aims to enable the interconnection of a large number of smart devices and heterogeneous networks. Ad hoc networks p...

Hybrid Tree-rule Firewall for High Speed Data Transmission

Journal Article
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2016)
Hybrid Tree-rule Firewall for High Speed Data Transmission. IEEE transactions on cloud computing, 1-1. https://doi.org/10.1109/tcc.2016.2554548
Traditional firewalls employ listed rules in both configuration and process phases to regulate network traffic. However, configuring a firewall with listed rules may create ru...
6 results

Repairing Polluted Artificial Intelligent Systems with Machine Unlearning

2019 - 2021
This project is intended to seek in-depth understanding of the new promising decentralised machine learning scheme, namely federated learning, and develop a proof-of-concept algorithm-independent unle...
Funder: ENU Development Trust | Value: £29,998

Behaviour profiling using Touch-based Behavioural Biometrics for Continuous Authentication Systems

2022 - 2022
Authenticating smartphone users from distinct behavioural biometric patterns provided through human interactions on touch screens would allow users to be continuously authenticated on their devices wh...
Funder: The Scottish Informatics & Computer Science Alliance | Value: £923

Divulging the Secrets of Artificial Intelligence

2022 - 2022
Digital Infrastructures are complex systems that are built upon computing and communication hardware, and whose resilience is undermined by the security of its hardware building blocks, which has not ...
Funder: The Scottish Informatics & Computer Science Alliance | Value: £2,500

Security and Privacy in Vehicular Ad-hoc Networks

2022 - 2024
The great leap forward in wireless communications technology drives the recent advancements of Vehicular Ad hoc NETworks (VANETs). As a key part of the Intelligent Transportation Systems (ITS) framewo...
Funder: Royal Society | Value: £12,000

Evaluation of Federated Machine Unlearning using Membership Inference Attacks

2023 - 2026
Federated Learning (FL) is a type of distributed Machine Learning (ML) training technique that allows for accurate predictions without sharing sensitive data. This is possible, as FL allows everyone t...
Funder: Carnegie Trust for the Universities of Scotland | Value: £73,564

MemoryCrypt

2019 - 2020
The usage of encryption keys is an important aspect in preserving privacy in communications. Increasingly these communications are protected using SSL/TLS methods. Along with this, there is a general ...
Funder: The Scottish Informatics & Computer Science Alliance | Value: £10,759
4 results