Intelligent agents defending for an IoT world: A review

Coulter, Rory; Pan, Lei

doi:10.1016/j.cose.2017.11.014

Cited by 37 publications

(11 citation statements)

References 55 publications

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“…Although this is the case, unregulated mobile devices will continue to grow because, like Internet interfaces would ever be accessible alongside open phones. wherever a user may find themselves [4] .…”

Section: Users Of Mobile Devicesmentioning

confidence: 99%

The Role of Smartphone in The Future of Technology

Sharma¹

2021

SJRIT

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Section: Users Of Mobile Devicesmentioning

confidence: 99%

The Role of Smartphone in The Future of Technology

Sharma¹

2021

SJRIT

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“…Although source code with vulnerability is rare, future research may investigate many compiled executable programs in the binary code with known vulnerabilities subject to license agreement and legal conditions [16]. With the help of federated learning, Low-power IoT devices like Raspberry Pi and smartphones could play a significant role in training deep learning models like CNNs or AutoEncoders [8], [25]. Last but not least, detecting security vulnerabilities from emerging blockchain applications is becoming a promising topic [53].…”

Section: B Application Scopementioning

confidence: 99%

Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey

et al. 2020

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Exploitable vulnerabilities in software have attracted tremendous attention in recent years because of their potentially high severity impact on computer security and information safety. Many vulnerability detection methods have been proposed to aid code inspection. Among these methods, there is a line of studies that apply machine learning techniques and achieve promising results. This paper reviews 22 recent studies that adopt deep learning to detect vulnerabilities, aiming to show how they utilize state-ofthe-art neural techniques to capture possible vulnerable code patterns. Among reviewed studies, we identify four game changers that significantly impact the domain of deep learning-based vulnerability detection and provide detailed reviews of the insights, ideas, and concepts that the game changers have brought to this field of interest. Based on the four identified game changers, we review the remaining studies, presenting their approaches and solutions which either build on or extend the game changers, and sharing our views on the future research trends. We also highlight the challenges faced in this field and discuss potential research directions. We hope to motivate the readers to conduct further research in this developing but fast-growing field.INDEX TERMS deep learning, vulnerability detection.

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“…Agent-based systems provide a solution to these challenges. They provides autonomy, proactive, and reactive features in the IoT devices [15][16][17].…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Approach towards the Design and Implementation of Virtual Network Based on Controller in Future IoT Applications

et al. 2020

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The Internet of Things refers (IoT) to the billions of physical devices around the globe that are connected to the Internet, collecting and sharing data. The overall Internet of Things market is projected to be worth more than 50.6 billion U.S. dollars in 2020. IoT devices possess low processing capabilities, limited memory, limited storage, and minimal network protocol support. With the help of cloud computing technology, we can overcome the limited resources of IoT devices. A lot of research has been conducted on IoT device virtualization to facilitate remote access and control. The concept of virtualization in IoT is to provide a virtual representation of physical devices in the form of virtual objects. IoT devices are more likely to be accessed and communicate through virtual objects in the near future. In this paper, we present the design and implementation of building a virtual IoT network for a smart home. The virtual network is based on virtual objects and IoT controller. We derived the concept from Software Defined Network (SDN) and separated the control plane and data plane in the virtual IoT network. This enhanced the rapid development of diverse applications on top of the virtualization layer by establishing a dynamic end-to-end connection between IoT devices. This article briefly explains the design and development of the virtual network. Results achieved during experiments and performance analysis show that IoT controller enhances the capabilities of a virtual network by dynamically controlling the traffic congestion, handling mapping requests, and routing mechanisms.

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Intelligent agents defending for an IoT world: A review

Cited by 37 publications

References 55 publications

The Role of Smartphone in The Future of Technology

The Role of Smartphone in The Future of Technology

Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey

A Novel Approach towards the Design and Implementation of Virtual Network Based on Controller in Future IoT Applications

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