Authentication and Authorization for Mobile IoT Devices Using Biofeatures: Recent Advances and Future Trends

Ferrag, Mohamed Amine; Μαγλαράς, Λέανδρος; Derhab, Abdelouahid

doi:10.1155/2019/5452870

Cited by 58 publications

(25 citation statements)

References 105 publications

(196 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• A masquerade attack aims to masquerade as a legitimate node to log into the server at agriculture sensors layer (i.e., log into the access point) or fog computing layer (i.e., log into the fog node). The authentication protocols for securing IoT networks use three techniques against masquerade attacks, namely, 1) behavioral features-based biometric (e.g., keystroke, signature, gait, or voice), 2) human physiological-based biometric (e.g., fingerprint palm, electrocardiogram, eyes, or face), 3) hashing functions, 4) Elliptic curve cryptosystem, and 5) pairing-based cryptography [63].…”

Section: B Attacks Against Authenticationmentioning

confidence: 99%

Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

et al. 2020

Self Cite

View full text Add to dashboard Cite

This paper presents research challenges on security and privacy issues in the field of green IoT-based agriculture. We start by describing a four-tier green IoT-based agriculture architecture and summarizing the existing surveys that deal with smart agriculture. Then, we provide a classification of threat models against green IoT-based agriculture into five categories, including, attacks against privacy, authentication, confidentiality, availability, and integrity properties. Moreover, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward secure and privacy-preserving technologies for IoT applications and how they will be adapted for green IoT-based agriculture. In addition, we analyze the privacy-oriented blockchain-based solutions as well as consensus algorithms for IoT applications and how they will be adapted for green IoT-based agriculture. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the security and privacy of green IoT-based agriculture.

show abstract

Section: B Attacks Against Authenticationmentioning

confidence: 99%

Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Benefiting from a combination of passwords, smart cards, and biometrics, the multi-factor authentication (MFA) approach [50] is becoming popular for mobile IoT devices [51]. Compared with a single-factor system, it provides an additional tier of security in case one factor becomes compromised.…”

Section: Related Workmentioning

confidence: 99%

A fast and scalable authentication scheme in IOT for smart living

Jin

Lyu

et al. 2021

Future Generation Computer Systems

View full text Add to dashboard Cite

Investigating certificate authority as a service (CAaaS) concept grounded in microservices and fog computing. • Designing an effective and efficient CAaaS scheme for the authentication of the Internet of things (IoT). • Validating our proposed scheme via lightweight protocols. • Facilitating the mutual authentication for IoT endpoints to premise end-to-end security. • Showcasing the success of computation movement toward data sources in handling complicated services.

show abstract

“…In modern world mobile devices are indispensable in our everyday life, as their applications are exorbitant. Performing biometric authentication through mobile devices can provide a stronger mechanism for identity verification as the two authentication factors, "something you have" and "something you are," are combined [134]. The smartphone ecosystem can be built based on existing ecosystem that allows to define and enforce custom security policies which are necessary for IoT devices and ecosystem [64].…”

Section: B Rq2 How Mobile Computing Provides Security Options To Enmentioning

confidence: 99%

Security Analysis of IoT Devices by Using Mobile Computing: A Systematic Literature Review

et al. 2020

View full text Add to dashboard Cite

Internet of Things (IoT) devices are operating in various domains like healthcare environment, smart cities, smart homes, transportation, and smart grid system. These devices transmit a bulk of data through various sensors, actuators, transceivers, or other wearable devices. Data in the IoT environment is susceptible to many threats, attacks, and risks. Therefore, a robust security mechanism is indispensable to cope with attacks, vulnerabilities, security, and privacy challenges related to IoT. In this research, a systematic literature review has been conducted to analyze the security of IoT devices and to provide the countermeasures in response to security problems and challenges by using mobile computing. A comprehensive and in-depth security analysis of IoT devices has been made in light of mobile computing, which is a novel approach. Mobile computing's technological infrastructures such as smartphones, services, policies, strategies, and applications are employed to tackle and mitigate these potential security threats. In this paper, the security challenges and problems of IoT devices are identified by a systematic literature review. Then, mobile computing has been used to address these challenges by providing potential security measures and solutions. Hardware and software-based solutions furnished by mobile computing towards the IoT security challenges have been elaborated. To the best of our knowledge, this is the first attempt to analyze the security issues and challenges of IoT in light of mobile computing and it will open a gateway towards future research. INDEX TERMS Internet of Things devices, Security, Mobile Computing, Mobile applications, Smartphone. I. Research Questions Keywords What are the security problems and challenges faced by IoT devices in the network? Inclusion Criteria Research papers published in English language were included Primary studies i.e. original research papers were selected Research papers, book chapters or magazines relevant to our main topic were selected Research papers ranges in years from 2011 to 2019 were included for the studies Exclusion Criteria Papers written other than English language are not included Papers did not answer research questions or did not define the topic properly were excluded Gray papers were excluded Elimination of duplicated papers Research papers with less than three pages were removed

show abstract

Authentication and Authorization for Mobile IoT Devices Using Biofeatures: Recent Advances and Future Trends

Cited by 58 publications

References 105 publications

Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

A fast and scalable authentication scheme in IOT for smart living

Security Analysis of IoT Devices by Using Mobile Computing: A Systematic Literature Review

Contact Info

Product

Resources

About