الفهرس 
Thesis Motivation and Problem StatementOnly 14 pages are availabe for public view
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Abstract
he term Internet of Things (IoT) represents all communicating countless heterogeneous
devices that share data and resources via the internet. The speedy advance of IoT devices
proposes limitless benefits, but it also brings new challenges regarding security and
forensics. Likewise, IoT devices can generate a massive amount of data that desires
integrity and security during its handling and processing in an efficient way. IoT devices
and data can be vulnerable to various types of cyber-crimes at each IoT layer.
For combating these cyber-crimes in IoT infrastructure, IoT forensic term has shown up.
Sundry challenges face the IoT forensics that requires urgent solutions and mitigation
methods; digital evidence needs to be collected, preserved, analyzed, processed, and
reported in a trusted manner to be acceptable in the court of law. Preserving the evidence
unchanged or tampered with is the most critical challenge in digital forensics.
Authentication is another challenge facing digital forensics. Therefore, a novel blockchain-
based framework called Forensics Chain for Evidence Preservation System (FCEP) for
IoT-based Smart City Security is proposed. The proposed framework aims to integrate
blockchain with digital forensics in order to overcome the problems face forensic
investigators and enhance the security of preserving digital evidence. The experimental
results provided a Proof of Concept for forensic evidence preservation based on blockchain
and evaluated its performance.
There are about 770 million camera surveillance systems all over the world. Using these
systems in smart homes is very important to monitor the indoor and outdoor scene of the
home. With the existence of the new revolution of software techniques, tampering with the
videos became easier than ever. For retaining the integrity of the captured scenes, we
propose blockchain based face recognition framework for smart home security. The system
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has been practically implemented and the results have shown an easy to use, robust and
data integrity verification of the recorded videos. It also ensures interactive security
preservation for the home. the proposed system ensures the integrity of the captured videos,
ease to use and robustness.
Cancelable biometrics is a novel paradigm for securing biometrics that plays a pivotal role
in Cognitive Internet of Things (C-IoT) security. The face trait solves a lot of security
issues regarding authentication attacks especially in smart IoT-based applications. A new
authentication framework for cancelable face recognition biometrics is proposed. The
system has been practically implemented and the results have demonstrated that the
proposed cancelable biometric system gives a very reliable and secure performance for
securing the IoT applications.
Internet of Medical Things (IoMT) monitor and transmit sensitive health data, that may be
vulnerable to various attacks. Therefore, a novel healthcare system is proposed for home
monitoring and health data security. Our proposed system allows the integration of the
mobile application with blockchain technique for ensuring data security. The experimental
results show that the proposed system outperforms the compared related papers in
processing time, processing energy, memory usage.