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Issue Date	Title	Author(s)
2011	Accuracy Comparison of Predictive Algorithms of Data Mining: Application in Education Sector	Mavani, Monali
2010-02	Blending intelligent and reciprocal tutoring systems: a dynamic approach	Mavani, Monali
2013	Comparative Analysis of Andrew Files System and Hadoop Distributed File System	Mavani, Monali
2014	Covert channel in IPv6 Destination option Extension header	Mavani, Monali
2014	Covert channel in IPv6 Destination option Extension header	Mavani, Monali
2011-02	Development of predictive model in education system: using Naïve Bayes classifier	Mavani, Monali
2017	Experimental study of IP spoofing attack in 6LoWPAN network	Mavani, Monali
2017	Experimental study of IP spoofing attack in 6LoWPAN network	Mavani, Monali
2018-10	In unsecured 6LoWPANs, the nodes can be easily identified by their IPv6 as well as MAC addresses. An adversary can snoop (and later, spoof) these addresses, thereby posing a major threat against the node’s identity and communication integrity. Such threats necessitate enabling privacy by obscuring the node’s addresses. This study proposes a protocol for dynamic, auto-configuring and conflict-free IPv6 addressing scheme that attempts to ensure privacy of nodes. In the proposed protocol, each node obtains a three-level hierarchical IPv6 address space which is dynamically generated on basis of congruence classes. Use of congruence classes, along with hierarchical addressing, facilitates generation of inter-leaved (and hence, disjoint) and non-fragmented address space for each node, resulting in conflict free address auto-generation. Nodes auto-configure their address sets independently with congruence seeds shared by routers, potentially reducing router complexity. To ensure the MAC address privacy, MAC address also changes when IPv6 address changes and it is derived from the interface identification (IID) part of the IPv6 address. The proposed protocol runs on Contiki operating system, simulated in Cooja. Simulated results highlight lower latency and optimal communication costs when compared with existing protocols.	Mavani, Monali
2013	MapReduce Frame Work: Investigating Suitability for Faster Data Analytics	Mavani, Monali
2013	MapReduce Frame Work: Investigating Suitability for Faster Data Analytics	Mavani, Monali
2017	Modeling and analyses of IP spoofing attack in 6LoWPAN network	Mavani, Monali
2017-09	Modeling and analyses of IP spoofing attack in 6LoWPAN network	Mavani, Monali
2019	Performance study of node wakeup rate on the privacy enabled addressing scheme in duty-cycled 6LoWPAN	Mavani, Monali
2019-09	Performance study of node wakeup rate on the privacy enabled addressing scheme in duty-cycled 6LoWPAN	Mavani, Monali
2018-10	Privacy enabled disjoint and dynamic address auto-configuration protocol for 6Lowpan	Mavani, Monali
2018-10	Privacy enabled disjoint and dynamic address auto-configuration protocol for 6Lowpan	Mavani, Monali
2018	Privacy Preserving IPv6 Address Auto-Configuration for Internet of Things	Mavani, Monali
2017-10	Privacy Preserving IPv6 Address Auto-Configuration for Internet of Things	Mavani, Monali
2019-08	Resilient against spoofing in 6LoWPAN networks by temporary-private IPv6 addresses	Mavani, Monali

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