All Outputs (112)

An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules (2018)
Journal Article
Habibullah, S., Liu, X., & Tan, Z. (2018). An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules. International Journal of Computer Theory and Engineering, 10(5), 164-169. https://doi.org/10.7763/ijcte.2018.v10.1219

Evolving legacy enterprise systems into a lean system architecture has been on the agendas of many enterprises. Recent advance in legacy system evaluation is in favour of microservice technologies, which not only significantly reduce the complexity i... Read More about An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules.

A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors (2018)
Conference Proceeding
Kumar Mishra, A., Kumar Tripathy, A., Obaidat, M. S., Tan, Z., Prasad, M., Sadoun, B., & Puthal, D. (2018). A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors. In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications (89-98). https://doi.org/10.5220/0006850602550264

Due to lack of an efficient monitoring system to periodically record environmental parameters for food grain storage, a huge loss of food grains in storage is reported every year in many developing countries, especially south-Asian countries. Althoug... Read More about A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors.

A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment (2018)
Journal Article
Babar, M., Khan, F., Iqbal, W., Yahya, A., Arif, F., Tan, Z., & Chuma, J. (2018). A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment. IEEE Access, 6, 43088-43099

Smart societies have an increasing demand for quality-oriented services and infrastructure in an Industrial Internet of Things (IIoT) paradigm. Smart urbanization faces numerous challenges. Among them, secured energy Demand Side Management (DSM) is o... Read More about A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment.

Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors (2018)
Journal Article
Lenka, R. K., Rath, A. K., Tan, Z., Sharma, S., Puthal, D., Simha, N. V. R., …Tripathi, S. S. (2018). Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors. IEEE Access, 6, 30162-30173. https://doi.org/10.1109/ACCESS.2018.2842760

Wireless Sensors are an important component to develop the Internet of Things (IoT) Sensing infrastructure. There are enormous numbers of sensors connected with each other to form a network (well known as wireless sensor networks) to complete IoT Inf... Read More about Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors.

Moving Towards Highly Reliable and Effective Sensor Networks. (2018)
Journal Article
Ahmad, M., Tan, Z., He, X., & Ni, W. (2018). Moving Towards Highly Reliable and Effective Sensor Networks. Ad-hoc & sensor wireless networks, 40(3-4), 163-168

Wireless Sensor Networks (WSNs) have been the preferred choice for the design and deployment of next generation monitoring and control systems [1]. In these networks, the sensor nodes forward their sensed data towards a centralized base station. The... Read More about Moving Towards Highly Reliable and Effective Sensor Networks..

Performance of Cognitive Radio Sensor Networks Using Hybrid Automatic Repeat ReQuest: Stop-and-Wait (2018)
Journal Article
Khan, F., ur Rehman, A., Usman, M., Tan, Z., & Puthal, D. (2018). Performance of Cognitive Radio Sensor Networks Using Hybrid Automatic Repeat ReQuest: Stop-and-Wait. Mobile Networks and Applications, https://doi.org/10.1007/s11036-018-1020-4

The enormous developments in the field of wireless communication technologies have made the unlicensed spectrum bands crowded, resulting uncontrolled interference to the traditional wireless network applications. On the other hand, licensed spectrum... Read More about Performance of Cognitive Radio Sensor Networks Using Hybrid Automatic Repeat ReQuest: Stop-and-Wait.

A framework for data security in cloud using collaborative intrusion detection scheme (2017)
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 feature which is based on measured usage and can be compared to other utility se... Read More about A framework for data security in cloud using collaborative intrusion detection scheme.

An Intrusion Detection System Based on Polynomial Feature Correlation Analysis (2017)
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 Proceedings. https://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 designed and applied in this work to extract hidden correlations from traffic rel... Read More about An Intrusion Detection System Based on Polynomial Feature Correlation Analysis.

An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay (2017)
Conference Proceeding
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2017). An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay. In 2016 IEEE Trustcom/BigDataSE/I​SPA (178-184). https://doi.org/10.1109/trustcom.2016.0061

The firewalls were invented since 1990s [1] and have been developed to operate more secure and faster. From the first era of the firewalls until today, they still regulate packet based on a listed rule. The listed rule is the set of rule sequence whi... Read More about An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay.

Security for Cyber-Physical Systems in Healthcare (2017)
Book Chapter
Saleem, K., Tan, Z., & Buchanan, W. (2017). Security for Cyber-Physical Systems in Healthcare. In Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare (233-251). Springer. https://doi.org/10.1007/978-3-319-47617-9_12

The great leap forward of cyber-physical systems has made provision for future personalized medicine. However, these systems are prone to cyber attacks. To provide patients with secure and reliable healthcare experience, the security issues of cyber-... Read More about Security for Cyber-Physical Systems in Healthcare.

Hybrid Tree-rule Firewall for High Speed Data Transmission (2016)
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 rule conflicts, and slows down the firewall. To overcome this problem, we hav... Read More about Hybrid Tree-rule Firewall for High Speed Data Transmission.

Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm (2016)
Journal Article
Ambusaidi, M. A., He, X., Nanda, P., & Tan, Z. (2016). Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm. IEEE Transactions on Computers, 65(10), 2986-2998. https://doi.org/10.1109/tc.2016.2519914

Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification but also prevent a classifier from making accurate decisions, especially when... Read More about Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm.

Intrusion detection method based on nonlinear correlation measure (2014)
Journal Article
Ambusaidi, M. A., Tan, Z., He, X., Nanda, P., Lu, L. F., & Jamdagni, A. (2014). Intrusion detection method based on nonlinear correlation measure. International Journal of Internet Protocol Technology, 8(2/3), 77. https://doi.org/10.1504/ijipt.2014.066377

Cyber crimes and malicious network activities have posed serious threats to the entire internet and its users. This issue is becoming more critical, as network-based services, are more widespread and closely related to our daily life. Thus, it has ra... Read More about Intrusion detection method based on nonlinear correlation measure.

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)
Conference Proceeding
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)
Conference Proceeding
Jan, M. A., Nanda, P., He, X., Tan, Z., & Liu, R. P. (2014). A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (205-211). https://doi.org/10.1109/trustcom.2014.31

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)
Conference Proceeding
Li, W., Meng, W., Tan, Z., & Xiang, Y. (2014). Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, (174-181). https://doi.org/10.1109/trustcom.2014.26

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)
Conference Proceeding
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2014). A Stateful Mechanism for the Tree-Rule Firewall. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (122-129). https://doi.org/10.1109/trustcom.2014.20

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.