DILLI PRASAD SHARMA

Dr. DILLI PRASAD SHARMA

University of Toronto, Toronto, Ontario, Canada

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 January 2020 in IEEE Communications Surveys & Tutorials
Verified
Journal Article
Closed access
JCJin-Hee Cho
Jin-Hee Cho
Dilli P. SharmaDilli P. Sharma
Dilli P. Sharma
HAHooman Alavizadeh
Hooman Alavizadeh
SYSeunghyun Yoon
Seunghyun Yoon
NBNoam Ben-Asher
Noam Ben-Asher
FNFrederica F. Nelson
Frederica F. Nelson

1 August 2018
Verified
Conference Paper
Closed access
Dilli P. SharmaDilli P. Sharma
Dilli P. Sharma
DKDong Seong Kim
Dong Seong Kim
SYSeunghyun Yoon
Seunghyun Yoon
HLHyuk Lim
Hyuk Lim
JCJin-Hee Cho
Jin-Hee Cho
TMTerrence J Moore
Terrence J Moore
Network address shuffling is one of moving target defense (MTD) techniques that can invalidate the address information attackers have collected based on the current network IP configuration. We propose a software-defined networking-based MTD technique called Flexible Random Virtual IP Multiplexing, namely FRVM, which aims to defend against network reconnaissance and scanning attacks. FRVM enables a host machine to have multiple, random, time-varying virtual IP addresses, which are multiplexed to a real IP address of the host. Multiplexing or de-multiplexing event dynamically remaps all the virtual network addresses of the hosts. Therefore, at the end of a multiplexing event, FRVM aims to make the attackers lose any knowledge gained through the reconnaissance and to disturb their scanning strategy. In this work, we analyze and evaluate our proposed FRVM in terms of the attack success probability under scanning attacks and target host discovery attacks.

28 February 2024 in Information
Verified
Journal Article
Open access
PDF file
XHXie He
Xie He
Arash Habibi LashkariArash Habibi Lashkari
Arash Habibi Lashkari
Nikhill VombatkereNikhill Vombatkere
Nikhill Vombatkere
Dilli P. SharmaDilli P. Sharma
Dilli P. Sharma
Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection of trade secrets, patent claims, copyright infringement, or cases of software theft. It helps new researchers understand the state-of-the-art works on authorship attribution methods, identify and examine the emerging methods for authorship attribution, and discuss their key concepts, associated challenges, and potential future work that could help newcomers in this field. This paper comprehensively surveys authorship attribution methods and their key classifications, used feature types, available datasets, model evaluation criteria and metrics, and challenges and limitations. In addition, we discuss the potential future research directions of the authorship attribution field based on the insights and lessons learned from this survey work.
1

1 November 2020 in Journal of Network and Computer Applications
Verified
Journal Article
Closed access
Dilli P. SharmaDilli P. Sharma
Dilli P. Sharma
SESimon Yusuf Enoch
Simon Yusuf Enoch
JCJin-Hee Cho
Jin-Hee Cho
TMTerrence J. Moore
Terrence J. Moore
FNFrederica F. Nelson
Frederica F. Nelson
DKDong Seong Kim
Dong Seong Kim

15 December 2023 in International Journal of Information Security
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Journal Article
Closed access
PDF file
SNSepideh Niktabe
Sepideh Niktabe
Arash Habibi LashkariArash Habibi Lashkari
Arash Habibi Lashkari
Dilli P. SharmaDilli P. Sharma
Dilli P. Sharma

1 August 2019
Verified
Conference Paper
Closed access
Dilli P. SharmaDilli P. Sharma
Dilli P. Sharma
Dilli P. SharmaDilli P. Sharma
Dilli P. Sharma
DKDong Seong Kim
Dong Seong Kim
JCJin-Hee Cho
Jin-Hee Cho
TMTerrence J Moore
Terrence J Moore
FNFrederica F. Nelson
Frederica F. Nelson
With the interconnection of services and customers, network attacks are capable of large amounts of damage. Flexible Random Virtual IP Multiplexing (FRVM) is a Moving Target Defence (MTD) technique that protects against reconnaissance and access with address mutation and multiplexing. Security techniques must be trusted, however, FRVM, along with past MTD techniques, have gaps in realistic evaluation and thorough analysis of security and performance. FRVM, and two comparison techniques, were deployed on a virtualised network to demonstrate FRVM's security and performance trade-offs. The key results include the security and performance trade-offs of address multiplexing and address mutation. The security benefit of IP address multiplexing is much greater than its performance overhead, deployed on top of address mutation. Frequent address mutation significantly increases an attackers' network scan durations as well as effectively obfuscating and hiding network configurations.