16 results

A framework for data security in cloud using collaborative intrusion detection scheme

Conference Proceeding
Nagar, U., Nanda, P., He, X., & Tan, Z. (. (2017)
A framework for data security in cloud using collaborative intrusion detection scheme. In Proceedings of 10th International Conference On Security Of Information And Networks. , (188-193). https://doi.org/10.1145/3136825.3136905
Cloud computing offers an on demand, elastic, global network access to a shared pool of resources that can be configured on user demand. It offers a unique pay-as-you go featu...

An Intrusion Detection System Based on Polynomial Feature Correlation Analysis

Conference Proceeding
Li, Q., Tan, Z., Jamdagni, A., Nanda, P., He, X., & Han, W. (2017)
An Intrusion Detection System Based on Polynomial Feature Correlation Analysis. In 2017 IEEE Trustcom/BigDataSE/I​SPA Conference Proceedingshttps://doi.org/10.1109/trustcom/bigdatase/icess.2017.340
This paper proposes an anomaly-based Intrusion Detection System (IDS), which flags anomalous network traffic with a distance-based classifier. A polynomial approach was design...

Multivariate Correlation Analysis Technique Based on Euclidean Distance Map for Network Traffic Characterization

Conference Proceeding
Tan, Z., Jamdagni, A., He, X., Nanda, P., & Liu, R. P. (2011)
Multivariate Correlation Analysis Technique Based on Euclidean Distance Map for Network Traffic Characterization. In S. Qing, W. Susilo, G. Wang, & D. Liu (Eds.), Information and Communications Security. , (388-398). https://doi.org/10.1007/978-3-642-25243-3_31
The quality of feature has significant impact on the performance of detection techniques used for Denial-of-Service (DoS) attack. The features that fail to provide accurate ch...

Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme

Conference Proceeding
Babaagba, K. O., Tan, Z., & Hart, E. (2019)
Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme. In Dependability in Sensor, Cloud, and Big Data Systems and Applications. , (369-382). https://doi.org/10.1007/978-981-15-1304-6_29
The ability to detect metamorphic malware has generated significant research interest over recent years, particularly given its proliferation on mobile devices. Such malware i...

Mobility Aware Duty Cycling Algorithm (MADCAL) in Wireless Sensor Network with Mobile Sink Node

Conference Proceeding
Thomson, C., Wadhaj, I., Tan, Z., & Al-Dubai, A. (2019)
Mobility Aware Duty Cycling Algorithm (MADCAL) in Wireless Sensor Network with Mobile Sink Node. In 2019 IEEE International Conference on Smart Internet of Things (SmartIoT). https://doi.org/10.1109/SmartIoT.2019.00037
In Wireless Sensor Networks (WSNs) the use of Mobile Sink Nodes (MSNs) has been proposed in order to negate the ”hotspot” issue. This where nodes closest to the sink node shal...

Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples

Conference Proceeding
Babaagba, K., Tan, Z., & Hart, E. (2020)
Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. https://doi.org/10.1109/CEC48606.2020.9185668
Detecting metamorphic malware provides a challenge to machine-learning models as trained models might not generalise to future mutant variants of the malware. To address this,...

Multi-miner's Cooperative Evolution Method of Bitcoin Pool Based on Temporal Difference Leaning Method

Conference Proceeding
Ou, W., Deng, M., Luo, E., Shi, W., Tan, Z., & Bhuiyan, M. (2019)
Multi-miner's Cooperative Evolution Method of Bitcoin Pool Based on Temporal Difference Leaning Method. In 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). , (687-693). https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00131
Proof of Work (PoW) is used to provide a consensus mechanism for Bitcoin. In this mechanism, the process of generating a new block in the blockchain is referred to as mining. ...

Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites

Conference Proceeding
Babaagba, K. O., Tan, Z., & Hart, E. (2020)
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. In Applications of Evolutionary Computation. EvoApplications 2020. , (117-132). https://doi.org/10.1007/978-3-030-43722-0_8
In the field of metamorphic malware detection, training a detection model with malware samples that reflect potential mutants of the malware is crucial in developing a model r...

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...

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...