All Outputs (119)

Detection of Denial-of-Service Attacks Based on Computer Vision Techniques (2014)
Journal Article
Tan, Z., Jamdagni, A., He, X., Nanda, P., Liu, R. P., & Hu, J. (2015). Detection of Denial-of-Service Attacks Based on Computer Vision Techniques. IEEE Transactions on Computers, 64(9), 2519-2533. https://doi.org/10.1109/tc.2014.2375218

Detection of Denial-of-Service (DoS) attacks has attracted researchers since 1990s. A variety of detection systems has been proposed to achieve this task. Unlike the existing approaches based on machine learning and statistical analysis, the proposed... Read More about Detection of Denial-of-Service Attacks Based on Computer Vision Techniques.

A Novel Feature Selection Approach for Intrusion Detection Data Classification (2014)
Presentation / Conference Contribution
Ambusaidi, M. A., He, X., Tan, Z., Nanda, P., Lu, L. F., & Nagar, U. T. (2014). A Novel Feature Selection Approach for Intrusion Detection Data Classification. . https://doi.org/10.1109/trustcom.2014.15

Intrusion Detection Systems (IDSs) play a significant role in monitoring and analyzing daily activities occurring in computer systems to detect occurrences of security threats. However, the routinely produced analytical data from computer networks ar... Read More about A Novel Feature Selection Approach for Intrusion Detection Data Classification.

Enhancing Big Data Security with Collaborative Intrusion Detection (2014)
Journal Article
Tan, Z., Nagar, U. T., He, X., Nanda, P., Liu, R. P., Wang, S., & Hu, J. (2014). Enhancing Big Data Security with Collaborative Intrusion Detection. IEEE cloud computing, 1(3), 27-33. https://doi.org/10.1109/mcc.2014.53

Big data, often stored in cloud networks, is changing our business models and applications. Rich information residing in big data is driving business decision making to be a data-driven process. The security and privacy of this data, however, have al... Read More about Enhancing Big Data Security with Collaborative Intrusion Detection.

A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment (2014)
Presentation / Conference Contribution
Jan, M. A., Nanda, P., He, X., Tan, Z., & Liu, R. P. (2014, September). A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment. Presented at 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

The Internet of Things is a vision that broadens the scope of the internet by incorporating physical objects to identify themselves to the participating entities. This innovative concept enables a physical device to represent itself in the digital wo... Read More about A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment.

Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning (2014)
Presentation / Conference Contribution
Li, W., Meng, W., Tan, Z., & Xiang, Y. (2014, September). Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning. Presented at 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

The goal of email classification is to classify user emails into spam and legitimate ones. Many supervised learning algorithms have been invented in this domain to accomplish the task, and these algorithms require a large number of labeled training d... Read More about Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning.

A Stateful Mechanism for the Tree-Rule Firewall (2014)
Presentation / Conference Contribution
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2014, September). A Stateful Mechanism for the Tree-Rule Firewall. Presented at 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

In this paper, we propose a novel connection tracking mechanism for Tree-rule firewall which essentially organizes firewall rules in a designated Tree structure. A new firewall model based on the proposed connection tracking mechanism is then develop... Read More about A Stateful Mechanism for the Tree-Rule Firewall.

A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis (2014)
Journal Article
Tan, Z., Jamdagni, A., He, X., Nanda, P., & Ping Liu, R. (2014). A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis. IEEE Transactions on Parallel and Distributed Systems, 25(2), 447-456. https://doi.org/10.1109/tpds.2013.146

Interconnected systems, such as Web servers, database servers, cloud computing servers and so on, are now under threads from network attackers. As one of most common and aggressive means, denial-of-service (DoS) attacks cause serious impact on these... Read More about A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis.

Improving cloud network security using the Tree-Rule firewall (2013)
Journal Article
He, X., Chomsiri, T., Nanda, P., & Tan, Z. (2014). Improving cloud network security using the Tree-Rule firewall. Future Generation Computer Systems, 30, 116-126. https://doi.org/10.1016/j.future.2013.06.024

This study proposes a new model of firewall called the ‘Tree-Rule Firewall’, which offers various benefits and is applicable for large networks such as ‘cloud’ networks. The recently available firewalls (i.e., Listed-Rule firewalls) have their limita... Read More about Improving cloud network security using the Tree-Rule firewall.

Generation of Network Behaviour Descriptions Using MCA Based on TAM (2013)
Presentation / Conference Contribution
Tan, Z. (2013, March). Generation of Network Behaviour Descriptions Using MCA Based on TAM. Paper presented at Kaspersky Lab's 2013 Annual Student Cyber Security Conference

In this paper, a multivariate correlation analysis technique based on triangle area map is introduced. The technique is applied for network traffic characterization and provides quality network behaviour descriptors for intrusion detectors to use. Th... Read More about Generation of Network Behaviour Descriptions Using MCA Based on TAM.

A nonlinear correlation measure for Intrusion Detection (2012)
Presentation / Conference Contribution
Ambusaidi, M., Lu, L. F., He, X., Tan, Z., Jamdagni, A., & Nanda, P. (2012, November). A nonlinear correlation measure for Intrusion Detection. Paper presented at The 7th International Conference on Frontier of Computer Science and Technology (FCST-12)

The popularity of using internet contains some risks of network attacks. It has attracted the attention of many researchers to overcome this problem. One of the effective ways that plays an important role to achieve higher security and protect networ... Read More about A nonlinear correlation measure for Intrusion Detection.

RePIDS: A multi tier Real-time Payload-based Intrusion Detection System (2012)
Journal Article
Jamdagni, A., Tan, Z., He, X., Nanda, P., & Liu, R. P. (2013). RePIDS: A multi tier Real-time Payload-based Intrusion Detection System. Computer Networks, 57(3), 811-824. https://doi.org/10.1016/j.comnet.2012.10.002

Intrusion Detection System (IDS) deals with huge amount of network traffic and uses large feature set to discriminate normal pattern and intrusive pattern. However, most of existing systems lack the ability to process data for real-time anomaly detec... Read More about RePIDS: A multi tier Real-time Payload-based Intrusion Detection System.

Evaluation on multivariate correlation analysis based denial-of-service attack detection system (2012)
Presentation / Conference Contribution
Tan, Z., Jamdagni, A., Nanda, P., He, X., & Liu, R. P. (2012, August). Evaluation on multivariate correlation analysis based denial-of-service attack detection system. Presented at Proceedings of the First International Conference on Security of Internet of Things - SecurIT '12, Kollam, India

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 network traffic characterization and the principal of anomaly-based detection... Read More about Evaluation on multivariate correlation analysis based denial-of-service attack detection system.

Triangle-Area-Based Multivariate Correlation Analysis for Effective Denial-of-Service Attack Detection (2012)
Presentation / Conference Contribution
Tan, Z., Jamdagni, A., He, X., Nanda, P., & Liu, R. P. (2012). Triangle-Area-Based Multivariate Correlation Analysis for Effective Denial-of-Service Attack Detection. . https://doi.org/10.1109/trustcom.2012.284

Cloud computing plays an important role in current converged networks. It brings convenience of accessing services and information to users regardless of location and time. However, there are some critical security issues residing in cloud computing,... Read More about Triangle-Area-Based Multivariate Correlation Analysis for Effective Denial-of-Service Attack Detection.

Multivariate Correlation Analysis Technique Based on Euclidean Distance Map for Network Traffic Characterization (2011)
Presentation / Conference Contribution
Tan, Z., Jamdagni, A., He, X., Nanda, P., & Liu, R. P. (2011, November). Multivariate Correlation Analysis Technique Based on Euclidean Distance Map for Network Traffic Characterization. Presented at 13th International Conference (ICICS 2011), Beijing, China

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 characterization for network traffic records make the techniques suffer from... Read More about Multivariate Correlation Analysis Technique Based on Euclidean Distance Map for Network Traffic Characterization.

Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis (2011)
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 detection are demanded. Therefore, we propose a multivariate correlation analysis... Read More about Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis.

A Two-Tier System for Web Attack Detection Using Linear Discriminant Method (2010)
Presentation / Conference Contribution
Tan, Z., Jamdagni, A., He, X., Nanda, P., Liu, R. P., Jia, W., & Yeh, W. (2010, December). A Two-Tier System for Web Attack Detection Using Linear Discriminant Method. Presented at 12th International Conference, ICICS 2010, Barcelona, Spain

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 detection are demanded. Therefore, we propose a multivariate correlation analysis... Read More about A Two-Tier System for Web Attack Detection Using Linear Discriminant Method.

Network Intrusion Detection based on LDA for payload feature selection (2010)
Presentation / Conference Contribution
Tan, Z., Jamdagni, A., He, X., & Nanda, P. (2010). Network Intrusion Detection based on LDA for payload feature selection. In 2010 IEEE Globecom Workshops. https://doi.org/10.1109/glocomw.2010.5700198

Intrusion detection using GSAD model for HTTP traffic on web services (2010)
Presentation / Conference Contribution
Jamdagni, A., Tan, Z., Nanda, P., He, X., & Liu, R. P. (2010, June). Intrusion detection using GSAD model for HTTP traffic on web services. Presented at Proceedings of the 6th International Wireless Communications and Mobile Computing Conference on ZZZ - IWCMC '10

Intrusion detection systems are widely used security tools to detect cyber-attacks and malicious activities in computer systems and networks. Hypertext Transport Protocol (HTTP) is used for new applications without much interference. In this paper, w... Read More about Intrusion detection using GSAD model for HTTP traffic on web services.

Intrusion Detection Using Geometrical Structure (2009)
Presentation / Conference Contribution
Jamdagni, A., Tan, Z., Nanda, P., He, X., & Liu, R. (2009, December). Intrusion Detection Using Geometrical Structure. Presented at 2009 Fourth International Conference on Frontier of Computer Science and Technology, Shanghai, China

We propose a statistical model, namely Geometrical Structure Anomaly Detection (GSAD) to detect intrusion using the packet payload in the network. GSAD takes into account the correlations among the packet payload features arranged in a geometrical st... Read More about Intrusion Detection Using Geometrical Structure.