scholarly journals Ext4 and XFS File System Forensic Framework Based on TSK

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2310
Author(s):  
Hyungchan Kim ◽  
Sungbum Kim ◽  
Yeonghun Shin ◽  
Wooyeon Jo ◽  
Seokjun Lee ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Processing Speed ◽  
Recovery Rate ◽  
File System ◽  
File Systems ◽  
The Internet ◽  
Forensic Investigation ◽  
Experimental Dataset ◽  
Iot Devices

Recently, the number of Internet of Things (IoT) devices, such as artificial intelligence (AI) speakers and smartwatches, using a Linux-based file system has increased. Moreover, these devices are connected to the Internet and generate vast amounts of data. To efficiently manage these generated data and improve the processing speed, the function is improved by updating the file system version or using new file systems, such as an Extended File System (XFS), B-tree file system (Btrfs), or Flash-Friendly File System (F2FS). However, in the process of updating the existing file system, the metadata structure may be changed or the analysis of the newly released file system may be insufficient, making it impossible for existing commercial tools to extract and restore deleted files. In an actual forensic investigation, when deleted files become unrecoverable, important clues may be missed, making it difficult to identify the culprit. Accordingly, a framework for extracting and recovering files based on The Sleuth Kit (TSK) is proposed by deriving the metadata changed in Ext4 file system journal checksum v3 and XFS file system v5. Thereafter, by comparing the accuracy and recovery rate of the proposed framework with existing commercial tools using the experimental dataset, we conclude that sustained research on file systems should be conducted from the perspective of forensics.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

scholarly journals Towards an Agent-Based Architecture using Deep Reinforcement Learning for Intelligent Internet of Things Applications.pdf

2020 ◽  
Author(s):  
Dhouha Ben Noureddine ◽  
Moez Krichen ◽  
Seifeddine Mechti ◽  
Tarik Nahhal ◽  
Wilfried Yves Hamilton Adoni
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Agent Technology ◽  
Smart Manufacturing ◽  
The Internet ◽  
Agent Based ◽  
Multi Agent ◽  
Iot Devices ◽  
Future Work ◽  
Share Information

Internet of Things (IoT) is composed of many IoT devices connected throughout the Internet, that collect and share information to represent the environment. IoT is currently restructuring the actual manufacturing to smart manufacturing. However, inherent characteristics of IoT lead to a number of titanic challenges such as decentralization, weak interoperability, security, etc. The artificial intelligence provides opportunities to address IoT’s challenges, e.g the agent technology. This paper presents first an overview of ML and discusses some related work. Then, we briefly present the classic IoT architecture. Then we introduce our proposed Intelligent IoT (IIoT) architecture. We next concentrate on introducing the approach using multi-agent DRL in IIoT. Finally, in this promising field, we outline the open directions of future work.

Advancing Artificial Intelligence-Enabled Cybersecurity for the Internet of Things

2021 ◽  
pp. 118-143
Author(s):  
Alper Kamil Demir ◽  
Shahid Alam
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Leading Edge ◽  
Digital Transformation ◽  
The Internet ◽  
New Wave ◽  
Transportation Energy ◽  
Different Types ◽  
Iot Devices ◽  
The Internet Of Things

Internet of things (IoT) has revolutionized digital transformation and is present in every sector including transportation, energy, retail, healthcare, agriculture, etc. While stepping into the new digital transformation, these sectors must contemplate the risks involved. The new wave of cyberattacks against IoT is posing a severe impediment in adopting this leading-edge technology. Artificial intelligence (AI) is playing a key role in preventing and mitigating some of the effects of these cyberattacks. This chapter discusses different types of threats and attacks against IoT devices and how AI is enabling the detection and prevention of these cyberattacks. It also presents some challenges faced by AI-enabled detection and prevention and provides some solutions and recommendations to these challenges. The authors believe that this chapter provides a favorable basis for the readers who intend to know more about AI-enabled technologies to detect and prevent cyberattacks against IoT and the motivation to advance the current research in this area.

scholarly journals Formalization in Digital Forensic Triage for Identification of Malicious IoT Devices

2019 ◽  
Vol 9 (1) ◽  
pp. 1699-1702
Keyword(s):  
Internet Of Things ◽  
Critical Issue ◽  
The Internet ◽  
Forensic Investigation ◽  
Formal Approach ◽  
Digital Forensic ◽  
Speed Up ◽  
Digital Investigation ◽  
Iot Devices ◽  
The Internet Of Things

Considering the large number of devices connected to the Internet of Things(IoT), identifying malicious devices for the purpose of “search & seizure” remainsa critical issue for digital investigators. Consequently, the need for techniques that automatically identify malicious devices can speed up the process of digital investigation. However, few conceptual approaches were proposed to identify malicious devices during IoT forensic investigation. To overcome that, a formal approach is proposed to automatically triage and fingerprint IoT Malicious devices with their respective states. It is expected that with the proposed formal approach, investigators can simply identify malicious devices, their states as well as determine the scope of investigation.

scholarly journals Towards an Agent-Based Architecture using Deep Reinforcement Learning for Intelligent Internet of Things Applications.pdf

2020 ◽  
Author(s):  
Dhouha Ben Noureddine ◽  
Moez Krichen ◽  
Seifeddine Mechti ◽  
Tarik Nahhal ◽  
Wilfried Yves Hamilton Adoni
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Agent Technology ◽  
Smart Manufacturing ◽  
The Internet ◽  
Agent Based ◽  
Multi Agent ◽  
Iot Devices ◽  
Future Work ◽  
Share Information

Internet of Things (IoT) is composed of many IoT devices connected throughout the Internet, that collect and share information to represent the environment. IoT is currently restructuring the actual manufacturing to smart manufacturing. However, inherent characteristics of IoT lead to a number of titanic challenges such as decentralization, weak interoperability, security, etc. The artificial intelligence provides opportunities to address IoT’s challenges, e.g the agent technology. This paper presents first an overview of ML and discusses some related work. Then, we briefly present the classic IoT architecture. Then we introduce our proposed Intelligent IoT (IIoT) architecture. We next concentrate on introducing the approach using multi-agent DRL in IIoT. Finally, in this promising field, we outline the open directions of future work.

Bringing Security to The Smallest Embedded Systems

2017 ◽  
Author(s):  
JOSEPH YIU
Keyword(s):  
Internet Of Things ◽  
Embedded Systems ◽  
Low Cost ◽  
Security Requirements ◽  
The Internet ◽  
Security Measures ◽  
Significant Challenge ◽  
Iot Devices

The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are not connected to the Internet, and many microcontrollers are deemed to be cheap and simple. With the growth of IoT (Internet of Things), security in low cost microcontrollers moved toward the spotlight and the security requirements of these IoT devices are now just as critical as high-end systems due to:

scholarly journals Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges

Network ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 28-49
Author(s):  
Ehsan Ahvar ◽  
Shohreh Ahvar ◽  
Syed Mohsan Raza ◽  
Jose Manuel Sanchez Vilchez ◽  
Gyu Myoung Lee
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Mobile Networks ◽  
The Other ◽  
The Internet ◽  
Hybrid Cloud ◽  
Next Generation ◽  
Delay Constraints ◽  
Mission Critical ◽  
Iot Devices

In recent years, the number of objects connected to the internet have significantly increased. Increasing the number of connected devices to the internet is transforming today’s Internet of Things (IoT) into massive IoT of the future. It is predicted that, in a few years, a high communication and computation capacity will be required to meet the demands of massive IoT devices and applications requiring data sharing and processing. 5G and beyond mobile networks are expected to fulfill a part of these requirements by providing a data rate of up to terabits per second. It will be a key enabler to support massive IoT and emerging mission critical applications with strict delay constraints. On the other hand, the next generation of software-defined networking (SDN) with emerging cloudrelated technologies (e.g., fog and edge computing) can play an important role in supporting and implementing the above-mentioned applications. This paper sets out the potential opportunities and important challenges that must be addressed in considering options for using SDN in hybrid cloud-fog systems to support 5G and beyond-enabled applications.

Development of algorithms for controlling and analyzing data of sugar beet storage processes based on the internet of things and artificial intelligence

2021 ◽  
Author(s):  
A.S. Travov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Sugar Beet ◽  
The Internet ◽  
Storage Process ◽  
The Internet Of Things ◽  
Storage Processes

This article provides an overview of the decision to improve the field storage of sugar beet. The purpose of development is to preserve the crop. Methods of monitoring volumes of piles and microclimate inside them are considered. The method for obtaining data on volumes of piles and the further use thereof for optimizing the storage process is described.

Sign in / Sign up

Export Citation Format

Share Document