Results 21 to 30 of about 464 (136)
Digital forensics challenges and readiness for
WIREs Forensic Science, 2023 AbstractThe development of sixth‐generation (6G) wireless communication technology is expected to provide super high‐speed data transmission, and advanced network performance than the current fifth‐generation (5G) and be fully functional by the 2030s. This development will have a significant impact and add improvements to digital extended reality (XR),
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Forensic investigation of P2P cloud storage services and backbone for IoT networks: BitTorrent Sync as a case study [PDF]
Computers & Electrical Engineering, 2017 Cloud computing has been regarded as the technology enabler for the Internet of Things (IoT). To ensure the most effective collection of IoT-based evidence, it is vital for forensic practitioners to possess a contemporary understanding of the artefacts from different cloud services.
Yee-Yang Teing +3 more
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IEEE Open Journal of the Communications SocietyThe proliferation of the Internet of Things (IoT) systems has fueled a surge in cybercrime, particularly through advanced persistent threats, such as botnets and ransomware, posing challenges for centralized Digital Forensics (DF) solutions in tracking ...
Hania Mohamed +4 more
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EMITTER International Journal of Engineering Technology, 2023 An exponential increase in number of attacks in IoT Networks makes it essential to formulate attack-level mitigation strategies. This paper proposes design of a scalable Kernel-level Forensic layer that assists in improving real-time evidence analysis performance to assist in efficient pattern analysis of the collected data samples.
Seema Shukla +2 more
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IoT forensic: Optimizing Raspberry Pi for investigation on the smart home network
IOP Conference Series: Materials Science and Engineering, 2019 Abstract Cybercrimes can occur by utilizing existing technology, and any such crime leaves a trace on the system, i.e. data digital evidence. Therefore, it takes a scientific way to analyze the digital evidence on the forensic of such cybercrime. Raspberry Pi is one of the systems that can be developed and functioned as a device used for
N Widiyasono +3 more
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Towards Developing Network Forensic Mechanism for Botnet Activities in the IoT Based on Machine Learning Techniques [PDF]
, 2018 The IoT is a network of interconnected everyday objects called things that have been augmented with a small measure of computing capabilities. Lately, the IoT has been affected by a variety of different botnet activities. As botnets have been the cause of serious security risks and financial damage over the years, existing Network forensic techniques ...
Nickolaos Koroniotis +3 more
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Forensik Internet Of Things pada Device Level berbasis Embedded System
Jurnal Teknologi Informasi dan Ilmu Komputer, 2019 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.
Eri Haryanto, Imam Riadi
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Energy Science &Engineering, EarlyView.By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
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A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Applied AI Letters, Volume 7, Issue 2, June 2026.This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
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Research on Digital Forensics Analyzing Heterogeneous Internet of Things Incident Investigations
Applied SciencesIn the landscape of the Fourth Industrial Revolution, the integration of the Internet of Things (IoT) in smart-home technology presents intricate challenges for digital forensics.
Dong-Hyuk Shin +3 more
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