Digital Forensics for IoT and WSNs

Karabiyik, Umit; Akkaya, Kemal

doi:10.1007/978-3-319-92384-0_6

Cited by 22 publications

(13 citation statements)

References 54 publications

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“…WSNs node is not fundamentally secure [12]. They are deployed in the event prone area: either into the event or near to the event.…”

Section: Securitymentioning

confidence: 99%

Challenges of WSNs in IoT

Kundaliya¹

2021

Wireless Sensor Networks - Design, Deployment and Applications

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IoT and WSNs are the prime moving force for technology in the current world. WSNs unfold their capacity day by day in almost every aspect of life. IoT enables to integrate the different devices and makes it possible to communicate with each other. It makes life easier and upgrades the application’s usage to the next level. The integration of WSNs with IoT will help to reach apical of the usage of applications. The combination of WSNs and IoT will open up new doors in almost all the possible fields however the amalgamation of both the technology needs careful consideration about bringing the both on same level. The IoT is considered a mighty giant with enormous power and capability. On the other side, WSNs are miniature having limited resources but the tremendous capability to penetrate in almost every aspect of life. WSN’s limited resources are the main concern while integrating it with the IoT. The integration will make it possible to access the sensor node from any part of the world. It implies that now the sensor node is open for any heterogeneous internet user in the world. It will cause a security issue. Moreover, the topology and addressing of WSNs are different from the normal internet which needs to be addressed during the integrations. And there are other challenges too which we discussed in depth in this chapter.

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“…WSNs node is not fundamentally secure [12]. They are deployed in the event prone area: either into the event or near to the event.…”

Section: Securitymentioning

confidence: 99%

Challenges of WSNs in IoT

Kundaliya¹

2021

Wireless Sensor Networks - Design, Deployment and Applications

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“…For instance, identifying all connected networks and internal/external access points. On the other side, research by (Karabiyik & Akkaya, 2019) has discussed challenges and potential evidence sources in IoT. The categorized expected sources of evidence in IoT fall into several logs of data (i.e., network, web, cloud, and sensor), which mostly require some reconstruction of these recovered metadata.…”

Section: Literature Reviewmentioning

confidence: 99%

A Forensic Analysis of Home Automation Devices (FAHAD) Model: Kasa Smart Light Bulb and Eufy Floodlight Camera as Case Studies

Salamh

2021

Int. j. cyber forensics adv. threat investig.

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The adoption of Internet of Things (IoT) devices is rapidly increasing with the advancement of network technology, these devices carry sensitive data that require adherence to minimum security practices. The adoption of smart devices to migrate homeowners from traditional homes to smart homes has been noticeable. These smart devices share value with and are of potential interest to digital forensic investigators, as well. Therefore, in this paper, we conduct comprehensive security and forensic analysis to contribute to both fields—targeting a security enhancement of the selected IoT devices and assisting the current IoT forensics approaches. Our work follows several techniques such as forensic analysis of identifiable information, including connected devices and sensor data. Furthermore, we perform security assessment exploring insecure communication protocols, plain text credentials, and sensitive information. This will include reverse engineering some binary files and manual analysis techniques. The analysis includes a data-set of home automation devices provided by the VTO labs: (1) the eufy floodlight camera, and (2) the Kasa smart light bulb. The main goal of the technical experiment in this research is to support the proposed model.

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“…In [21] we see a review of current techniques and their approaches, which essentially decomposes the problem into three areas: device; network; and, cloud. IoTDots [1] focuses on the data capture and analysis, and is an important tool in the capture of data from devices and the subsequent reconstruction of events.…”

Section: Cyber Physical System Forensic Readinessmentioning

confidence: 99%