Roopali Garg

Work place: Department of I.T, U.I.E.T, Panjab University, Chandigarh, 160014, India



Research Interests: Computer Networks, Network Architecture, Network Security


Roopali Garg, is working as Assistant Professor at department of Information Technology Engineering at UIET, Panjab University, Chandigarh. She has an experience of 12 years in academics. She has done M. tech in Electronics and B. Tech in Electronics & Electrical Communication from Punjab Engineering College. She has been awarded Administrator's Gold medal by Chandigarh Administration in 2000 for her supreme performance in curricular, co- curricular and extra- curricular activities. There are more than thirty research papers to her credit which have been published in good indexed international journals and have been presented in reputed international conferences. Her focused research area is Wireless communication and has guided more than a dozen M. thesis in this area.

Author Articles
Accurate Anomaly Detection using Adaptive Monitoring and Fast Switching in SDN

By Gagandeep Garg Roopali Garg

DOI:, Pub. Date: 8 Oct. 2015

Software defined networking (SDN) is rapidly evolving technology which provides a suitable environment for easily applying efficient monitoring policies on the networks. SDN provides a centralized control of the whole network from which monitoring of network traffic and resources can be done with ease. SDN promises to drastically simplify network monitoring and management and also enable rapid innovation of networks through network programmability. SDN architecture separates the control of the network from the forwarding devices. With the higher innovation provided by the SDN, security threats at open interfaces of SDN also increases significantly as an attacker can target the single centralized point i.e. controller, to attack the network. Hence, efficient adaptive monitoring and measurement is required to detect and prevent malicious activities inside the network. Various such techniques have already been proposed by many researchers. This paper describes a work of applying efficient adaptive monitoring on the network while maintaining the performance of the network considering monitoring overhead over the controller. This work represents effective bandwidth utilization for calculation of threshold range while applying anomaly detection rules for monitoring of the network. Accurate detection of anomalies is implemented and also allows valid users and applications to transfer the data without any restrictions inside the network which otherwise were considered as anomalies in previous technique due to fluctuation of data and narrow threshold window. The concept of fast switching also used to improve the processing speed and performance of the networks.

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Modular Approach based Backbone Construction Using STP with CDS

By Rachita Nagpal Roopali Garg

DOI:, Pub. Date: 8 Sep. 2015

In a dense environment, wireless sensor network (WSN) requires more energy to work in an effective and efficient manner. Hence, energy conservation is the main objective. In the paper, we have proposed a methodology to construct a backbone using modular antennas in combination with spanning tree protocol (STP), graph sampling, and Connecting Dominating Set (CDS) strategy. The backbone construction is based upon the modular antenna based WSNs, where the dominating sets can avoid the intermediate connection in order to reduce the hop count and energy consumption. The dominating sets have been connected using the modular transmission range of the wireless sensor networks to construct the backbone. The dominating set selection procedure to construct the WSN backbone is based upon the degree of connections of the nodes, which enables the locally centralized behavior of the connected dominating sets. The proposed methodology has been proved effective resulting in the construction of an energy efficient backbone.

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