g-RAT | A Novel Graphical Randomized Authentication Technique for Consumer Smart Devices

Khan, Mudassar Ali; Din, Ikram Ud; Ullah, Sultan; Khan, Muhammad Khurram; Guizani, Mohsen; Awan, Kamran Ahmad

doi:10.1109/tce.2019.2895715

Cited by 26 publications

(15 citation statements)

References 22 publications

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“…A similar swipe-based authentication technique [35] is proposed where a user touches the screen for authentication. In contrast to existing approaches, rather than providing users with a simple 3×3 grid, image icons are given inside the grid.…”

Section: ) Graphical Randomized Authentication Technique (Grat)mentioning

confidence: 99%

Doodle-Based Authentication Technique Using Augmented Reality

et al. 2020

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The emergence of augmented reality (AR) and virtual reality (VR) has revolutionized the trends in computing devices and modern technologies drastically. With this revolution, there is a need to extend existing architectures of security to serve as the key protective feature in all computing devices. In this experimental study, the aim is to develop a novel authentication technique with a fusion of graphical doodle password approach and AR environments. The mash-up of both doodle passwords and AR in a 3D space gives a promising direction to set off to a modern, more usable, and satisfying authentication techniques. The proposed approach works on real-time size and coordinate matching of doodles in an AR environment for the authentication of users. The creation of doodle passwords in an AR space is carried on by touchgesture-recognition on a smartphone. The usability and usefulness of the proposed technique is evaluated by conducting an extensive survey, based on tasks and user experience assessments. The randomizedpost-test-only study model is used to conduct experimentation that is also followed by the analysis of security parameters with the help of confusion matrix. The obtained results predict the use of AR during the authentication process more satisfying for users, where the proposed technique is useful, usable, and secure in comparison to the existing authentication approaches. This paper also highlights the importance of research needed for the utilization of modern techniques during the creation of security frameworks.

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Section: ) Graphical Randomized Authentication Technique (Grat)mentioning

confidence: 99%

Doodle-Based Authentication Technique Using Augmented Reality

et al. 2020

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“…A SERIOUS concentration has been made in the vehicular ad hoc network (VANET) technology [1], [2] since 1990s, and especially in the last decade, many advancements have been seen. Internet of Things (IoT) has been deployed (and being deployed) in various domains, such as agriculture [3], [4], healthcare [5]- [8], cloud computing [9], [10], edge computing [11], smart cities [12]- [14], smart homes [15], etc [16], [17]. However, VANETs in combination with IoT is a familiar research topic and has attracted attention from the research community at large [18].…”

Section: Introductionmentioning

confidence: 99%

Left-Right-Front Caching Strategy for Vehicular Networks in ICN-Based Internet of Things

et al. 2021

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In Vehicular Ad-hoc Networks (VANET), vehicles act like mobile nodes for fetching, sharing, and disseminating important information related to vehicle safety, warning messages, emergency events, and passenger infotainment. Due to continuous information sharing of vehicles with their surrounding nodes, Road Side Units (RSUs), and infrastructures, the existing host-centric IP-based network cannot fulfill the requirements of VANETs. Therefore, Information Centric Networking (ICN) architectures are the introduced to comprehensively address the problems of Internet of Things (IoT)-based VANETs, known as VANET-IoT. This paper introduces a new ICN-based proactive left-right-front (LRF) caching strategy for VANETs, which maximizes the performance of VANETs by placing content proactively at the right nodes. The proposed strategy also provides a mechanism for the timely dissemination of safety-related messages. LRF is compared with other caching strategies in the NS-3 simulator, which outperforms those schemes in terms of cache utilization, hop ratios, and resolved interest ratios with respect to 100 MB, 500 MB, and 1 GB cache sizes.

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“…In [63], a generic IoT trust architecture is proposed that integrates trust into all these layers as an integral component to manage security. IoT faces several security challenges [36], e.g., authentication [3,31,37,38], access control [47,60], trust management in cross domain along with smart edge nodes [6,7,9,11,33], security management in IoT equipped with VANET nodes [10,27,35,45], policy enforcement [54], secure middleware [13], and confidentiality [50].…”

Section: Introductionmentioning

confidence: 99%

EdgeTrust - A Lightweight Data-centric Trust Management Approach for Green Internet of Edge Things

Awan

Din

Almogren

et al. 2021

Preprint

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Internet of Things (IoT) is bringing revolution into today’s world where devices in our surroundings become smart and perform daily-life activities and operations with more precision. The architecture of IoT is heterogeneous as it provides autonomy to nodes that they can communicate among other nodes and can also exchange information at any period. Due to the heterogeneous environment, IoT faces numerous security and privacy challenges, and one of the most significant challenges is the identification of malicious and compromised nodes. In this article, we have proposed a Machine Learning-based trust management approach for edge nodes. The proposed approach is a lightweight process to evaluate trust because edge nodes cannot perform complex computations. To evaluate trust, the proposed mechanism utilizes the knowledge and experience component of trust where knowledge is further based on several parameters. To eliminate the triumphant execution of good and bad-mouthing attacks, the proposed approach utilizes edge clouds, i.e., local data centers, to collect recommendations to evaluate indirect and aggregated trust. The trustworthiness of nodes is ranked between a certain limit where only those that satisfy the threshold value can participate in the network. To validate the performance of a proposed approach we have performed an extensive simulation in comparison with the existing approaches and the result shows the effectiveness of the proposed approach against several potential attacks.

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g-RAT | A Novel Graphical Randomized Authentication Technique for Consumer Smart Devices

Cited by 26 publications

References 22 publications

Doodle-Based Authentication Technique Using Augmented Reality

Doodle-Based Authentication Technique Using Augmented Reality

Left-Right-Front Caching Strategy for Vehicular Networks in ICN-Based Internet of Things

EdgeTrust - A Lightweight Data-centric Trust Management Approach for Green Internet of Edge Things

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