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Grant: Discovery Grants Program - Individual

Brandon University

$24,000.00

Lightweight Security, Privacy, and Trust for Internet of Things

EF 2023-24

Résumé
Recent proliferation of Internet of Things (IoT) technologies has changed the landscape of data usage, storage, and sharing. Industry and personal IoT device users are constantly putting personal data at risk by connecting devices to the internet in an environment that lacks security techniques and protocols. Concerns about data leakages, hacking, and other security threats are a real concern for all Canadians because of the intersecting impacts of technology on our daily lives. There is an urgent need to address data security, privacy and trust (SPT) concerns in today's digital world. Citizens have high expectations that governments and industry have policies and practises in place to protect personal data, but much work is needed across sectors to achieve this goal. From an industry perspective, IoT security is often a trade-off with other constrained device issues. Many secure cryptographic protocols require much more demanding resource use than IoT devices can provide. Highly secure protocols with high computational load to execute do not fit in these types of scenarios. Therefore, the security of these devices is often compromised. The proposed research will have a high impact through the development and dissemination of innovative security techniques and protocols that can be executed on IoT devices. The short-term objectives are to propose three new models to solve SPT problems including blockchain, light cryptography, and machine learning models. The long-term objectives are to fulfill SPT problems by transferring the newly developed technology to Canadian industry through strategic partnerships, and validating results through article publications. The proposed research has a solid blend of theoretical computer science and applications. An influential research group will be created at Brandon University that has direct collaborations with Canada's University of Guelph and Lakehead University. The diverse members of the research team will receive training, experience and opportunity to affect future technological advances in Canada. I have published in strong conferences (e.g. GLOBECOM, ARES, VTC, SECRYPT) and well known top journals (IEEE ACCESS, ASC, SUPE, IEEE TNSE, JAIHC, SNAM). The proposed research will support a continued focus on impactful research by discovering the true limitations to the new and exciting avenues of SPT in IoT. An exceptional research program must include quality, high impact results, and training of high quality personnel. HQP at all educational levels (Undergraduate, Master's, PhD and Post-Doctorate) are integral to the proposed research. They will be supported through strong leadership and individualized training plans. I am committed to recruiting a diverse research team, and creating an inclusive environment where people are respected and appreciated. Historically, 70% of my HQP identified as First Nations, Visible Minority, Female, or Disabled. I am eager to continue this trend for future HQP.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2020-05363
Name nom
Srivastava, Gautam
Department département
Mathematics and Computer Science
Organization id
20
Institution établissement
Brandon University
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
24000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2710
Research subject group en
Information technology
Research subject group fr
Information systems design
Research subject en
Technologie de l'information
Research subject fr
Conception de systèmes d'information
Application title
Lightweight Security, Privacy, and Trust for Internet of Things
Keyword
algorithms; blockchain; cryptography; internet of things; lightweight; privacy; protocols; security; sensor networks; trust
Application summary
Recent proliferation of Internet of Things (IoT) technologies has changed the landscape of data usage, storage, and sharing. Industry and personal IoT device users are constantly putting personal data at risk by connecting devices to the internet in an environment that lacks security techniques and protocols. Concerns about data leakages, hacking, and other security threats are a real concern for all Canadians because of the intersecting impacts of technology on our daily lives. There is an urgent need to address data security, privacy and trust (SPT) concerns in today's digital world. Citizens have high expectations that governments and industry have policies and practises in place to protect personal data, but much work is needed across sectors to achieve this goal. From an industry perspective, IoT security is often a trade-off with other constrained device issues. Many secure cryptographic protocols require much more demanding resource use than IoT devices can provide. Highly secure protocols with high computational load to execute do not fit in these types of scenarios. Therefore, the security of these devices is often compromised. The proposed research will have a high impact through the development and dissemination of innovative security techniques and protocols that can be executed on IoT devices. The short-term objectives are to propose three new models to solve SPT problems including blockchain, light cryptography, and machine learning models. The long-term objectives are to fulfill SPT problems by transferring the newly developed technology to Canadian industry through strategic partnerships, and validating results through article publications. The proposed research has a solid blend of theoretical computer science and applications. An influential research group will be created at Brandon University that has direct collaborations with Canada's University of Guelph and Lakehead University. The diverse members of the research team will receive training, experience and opportunity to affect future technological advances in Canada. I have published in strong conferences (e.g. GLOBECOM, ARES, VTC, SECRYPT) and well known top journals (IEEE ACCESS, ASC, SUPE, IEEE TNSE, JAIHC, SNAM). The proposed research will support a continued focus on impactful research by discovering the true limitations to the new and exciting avenues of SPT in IoT. An exceptional research program must include quality, high impact results, and training of high quality personnel. HQP at all educational levels (Undergraduate, Master's, PhD and Post-Doctorate) are integral to the proposed research. They will be supported through strong leadership and individualized training plans. I am committed to recruiting a diverse research team, and creating an inclusive environment where people are respected and appreciated. Historically, 70% of my HQP identified as First Nations, Visible Minority, Female, or Disabled. I am eager to continue this trend for future HQP.