A Review of Prospects and Challenges of Internet of Things

Yakubu, Osman; Adjei, Osei; Babu, C. Narendra

doi:10.5120/ijca2016909390

Cited by 11 publications

(8 citation statements)

References 21 publications

(34 reference statements)

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“…The first and probably the most essential part of any forensic examination is the search for evidence [29]. Hegarty et al [95] assert that identification in the IoT context is especially difficult, since in some cases the examiners do not even know where the investigated data is physically stored [96]. Even a simple task like finding the compromised IoT device and reconstructing the crime scene could be challenging.…”

Section: A Evidence Identificationmentioning

confidence: 99%

“…2) Device and Data Proliferation: The increasing number of interconnected devices and the amount of digital forensic data requiring analysis, has been discussed over many years [98]. A report conducted by the International Data Corporation (IDC) states that the estimated growth of data from 2005 to 2020 is expected to be 40.000 exabytes [96]. Hence, the traditional digital forensics tools are incapable of handling such tremendous increase in volume, variety and velocity [34].…”

Section: ) Scope Of the Compromise And Crime Scenementioning

confidence: 99%

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A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues

Stoyanova

Nikoloudakis

Panagiotakis

et al. 2020

IEEE Commun. Surv. Tutorials

540

238

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Today is the era of the Internet of Things (IoT). The recent advances in hardware and information technology have accelerated the deployment of billions of interconnected, smart and adaptive devices in critical infrastructures like health, transportation, environmental control, and home automation. Transferring data over a network without requiring any kind of human-to-computer or human-to-human interaction, brings reliability and convenience to consumers, but also opens a new world of opportunity for intruders, and introduces a whole set of unique and complicated questions to the field of Digital Forensics. Although IoT data could be a rich source of evidence, forensics professionals cope with diverse problems, starting from the huge variety of IoT devices and non-standard formats, to the multitenant cloud infrastructure and the resulting multi-jurisdictional litigations. A further challenge is the end-to-end encryption which represents a trade-off between users' right to privacy and the success of the forensics investigation. Due to its volatile nature, digital evidence has to be acquired and analyzed using validated tools and techniques that ensure the maintenance of the Chain of Custody. Therefore, the purpose of this paper is to identify and discuss the main issues involved in the complex process of IoT-based investigations, particularly all legal, privacy and cloud security challenges. Furthermore, this work provides an overview of the past and current theoretical models in the digital forensics science. Special attention is paid to frameworks that aim to extract data in a privacy-preserving manner or secure the evidence integrity using decentralized blockchain-based solutions. In addition, the present paper addresses the ongoing Forensics-as-a-Service (FaaS) paradigm, as well as some promising cross-cutting data reduction and forensics intelligence techniques. Finally, several other research trends and open issues are presented, with emphasis on the need for proactive Forensics Readiness strategies and generally agreed-upon standards.

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Section: A Evidence Identificationmentioning

confidence: 99%

Section: ) Scope Of the Compromise And Crime Scenementioning

confidence: 99%

A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues

Stoyanova

Nikoloudakis

Panagiotakis

et al. 2020

IEEE Commun. Surv. Tutorials

540

238

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“…Menurut Osman (Osman, Osei, & Narendra, 2016), masa depan internet adalah sebuah dunia baru berupa jaringan yang kuat dari perangkat smart yang secara independen dapat berkomunikasi satu sama lain dengan sedikit intervensi manusia, atau bahkan tanpa intervensi sama sekali. Imbas dari hal tersebut akan memunculkan teknologi baru bernama internet of things (IoT).…”

Section: Pendahuluanunclassified

Forensik Internet Of Things pada Device Level berbasis Embedded System

Haryanto

Riadi

2019

JTIIK

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Perangkat Internet of Things (IoT) merupakan perangkat cerdas yang memiliki interkoneksi dengan jaringan internet global. Investigasi kasus yang menyangkut perangkat IoT akan menjadi tantangan tersendiri bagi investigator forensik. Keberagaman jenis perangkat dan teknologi akan memunculkan tantangan baru bagi investigator forensik. Dalam penelitian ini dititikberatkan forensik di level internal device perangkat IoT. Belum banyak bahkan belum penulis temukan penelitian sejenis yang fokus dalam analisis forensik perangkat IoT pada level device. Penelitian yang sudah dilakukan sebelumnya lebih banyak pada level jaringan dan level cloud server perangkat IoT. Pada penelitian ini dibangun environment perangkat IoT berupa prototype smart home sebagai media penelitian dan kajian tentang forensik level device. Pada penelitian ini digunakan analisis model forensik yang meliputi collection, examination, analysis, dan reporting dalam investigasi forensik untuk menemukan bukti digital. Penelitian ini berhasil mengungkap benar-benar ada serangan berupa injeksi malware terhadap perangkat IoT yang memiliki sistem operasi Raspbian, Fedberry dan Ubuntu Mate. Pengungkapan fakta kasus mengalami kesulitan pada perangkat IoT yang memiliki sistem operasi Kali Linux. Ditemukan 1 IP Address komputer penyerang yang diduga kuat menanamkan malware dan mengganggu sistem kerja perangkat IoT.AbstractThe Internet of Things (IoT) is an smart device that has interconnection with global internet networks. Investigating cases involving IoT devices will be a challenge for forensic investigators. The diversity of types of equipment and technology will create new challenges for forensic investigators. In this study focused on forensics at the IoT device's internal device level, there have not been many similar research that focuses on forensic analysis of IoT devices at the device level. Previous research has been done more at the network level and cloud level of IoT device's. In this study an IoT environment was built a smart home prototype as a object for research and studies on forensic level devices. This study, using forensic model analysis which includes collection, examination, analysis, and reporting in finding digital evidence. This study successfully revealed that there was really an attack in the form of malware injection against IoT devices that have Raspbian, Fedberry and Ubuntu Mate operating systems. Disclosure of the fact that the case has difficulties with IoT devices that have the Kali Linux operating system. Found 1 IP Address of an attacker's computer that is allegedly strongly infusing malware and interfering with the work system of IoT devices.

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“…The protocol is designed in a way that provides permissions to prevent eavesdropping, manipulating or forging massages for server and client applications. DTLS protocol is located in the transport layer security (TLS) 35 protocol and this protocol provides equivalent security guarantees (Iglesias et al, 2017) 36 . Since some of the IOT devices are placed in the environments in which power supply is not accessible, only have little energy to execute planed capabilities and heavy security instructions can discharge devices' sources (Yang et al, 2017) 37 .…”

Section:  An Overview Of the Research Backgroundmentioning

confidence: 99%

“…The first kind is among the smart devices and the IOT devices, sensors and home appliances and the second kind is among the smart devices and tools control centers. The first data flow can be run among the wireless connections like LowPAN, Zigbee and 33 Internet Protocol Version 34 Babovic, Protic&Milutinovic 35 Transport Layer Security 36 Iglesias, Orive&Urbieta 37 Yang, Wu, Yin & Zhao 38 Navas, Lagos, Toutain&Vijayasan 39 Chavan, K.Nighot Z-wave. The second data flow cab be run using cellular communications or through internet.…”

Section:  An Overview Of the Research Backgroundmentioning

confidence: 99%

The Effect of Using COAP Protocol on Reducing Energy Consumption in Smart Houses (Case Study: Uromieh Culture House)

DehghaniKohnehshahri¹,

Kargar²,

Soleimani-Roozbahani³

2018

IJANA

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Over the past few years, protocols, implementations, and optimal uses and the use of internet of things have grown dramatically. Among the communication protocols, the COAP is the most distinctive one. The protocol, has the ability of better and lighter performance in restricted resource networks and devices. There are a lot of implementations about COAP each has its own features and supplies. So, selecting the factors having effects on improvement of COAP protocol and also the implementation method suitable for the features of each of these supplies is important. So, optimal communication protocol which reduces traffic load is highly important and is now, of the main challenges in the IOT industry and smart houses which, in recent years, has attracted many researchers' attention. This study provides some features and an analytical comparison of many variables influencing the optimal performance of COAP. The present study has been conducted to answer the main question of the study: does the use of COAP have any effects on reducing energy consumption in the smart houses? The study has been conducted in the Uromieh Culture House and while studying the effective factors or important variables in improving the COAP performance, has tested the accuracy or inaccuracy of the hypotheses such as the main hypothesis of the study that there is a meaningful and positive relationship between using the COAP protocol and reducing energy consumption in organizations. Finally, a new approach will be introduced in this research causing improvement in the COAP efficiency. Then, its performance will be analyzed regarding reducing in energy consumption, delay in sending data, reducing memory and CPU consumption, the amount of information transmitted in each communication, firmness in failure and technological innovation. The present study aims at identifying the effect of using the COAP protocol on reducing energy consumption in the smart houses, Uromieh Culture House and ranking the factors influencing the implementation of performance improvement based on the smart houses. The paradigm of the present study is interpretive. In terms of purpose, the present study is of applied kind, in terms of data collection is of pluralistic one, in terms of procedure is of field and library one, in terms of data analysis method is a descriptive study and finally, in terms of time is a crosssectional one. The statistical sample of the present study's statistical society includes 49 people of the staff of the Uromieh Culture House who participate in the study as experts and professionals in IOT and new and emerging technologies of the smart houses fields. The results of data analysis show that the most effective factor in implementing the COAP protocol successfully on reducing energy consumption in the smart houses is to reduce energy consumption and the innovative technology factor has the least effect on successful implementation of the protocol.

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A Review of Prospects and Challenges of Internet of Things

Cited by 11 publications

References 21 publications

A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues

A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues

Forensik Internet Of Things pada Device Level berbasis Embedded System

The Effect of Using COAP Protocol on Reducing Energy Consumption in Smart Houses (Case Study: Uromieh Culture House)

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