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 multi-tenant 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.

/pdf/a-survey-on-the-internet-of-things-iot-forensics-challenges-3w6jzejgc2.pdf

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

Thank you for downloading modern operating systems. As you may know, people have look hundreds times for their favorite readings like this modern operating systems, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some harmful bugs inside their desktop computer. modern operating systems is available in our book collection an online access to it is set as public so you can get it instantly. Our books collection spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the modern operating systems is universally compatible with any devices to read.

Modern Operating Systems

Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges

The rise of ransomware and emerging security challenges in the Internet of Things

As the Internet of Things (IoT) continues to proliferate, diagnosing incorrect behavior within increasinglyautomated homes becomes considerably more difficult. Devices and apps may be chained together in long sequences of triggeraction rules to the point that from an observable symptom (e.g., an unlocked door) it may be impossible to identify the distantly removed root cause (e.g., a malicious app). This is because, at present, IoT audit logs are siloed on individual devices, and hence cannot be used to reconstruct the causal relationships of complex workflows. In this work, we present ProvThings, a platform-centric approach to centralized auditing in the Internet of Things. ProvThings performs efficient automated instrumentation of IoT apps and device APIs in order to generate data provenance that provides a holistic explanation of system activities, including malicious behaviors. We prototype ProvThings for the Samsung SmartThings platform, and benchmark the efficacy of our approach against a corpus of 26 IoT attacks. Through the introduction of a selective code instrumentation optimization, we demonstrate in evaluation that ProvThings imposes just 5% overhead on physical IoT devices while enabling real time querying of system behaviors, and further consider how ProvThings can be leveraged to meet the needs of a variety of stakeholders in the IoT ecosystem.

/pdf/fear-and-logging-in-the-internet-of-things-2eor16vcs3.pdf

Fear and Logging in the Internet of Things.

The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. Typically, internet of things (IoT) is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine communications (M2M) and covers a variety of protocols, domains, and applications. The interconnection of these embedded devices including smart objects, is expected to usher in automation in nearly all fields, while also enabling advanced applications like a Smart Grid. The main research challenge in Internet of things (IoT) for the forensic investigators is based size of the objects of forensic interest, relevancy, blurry network boundaries and edgeless networks, especially on method for conducting the investigation. The aim of this paper is to identify the best approach by designing a novel model to conduct the investigation situations for digital forensic professionals and experts. There was existing research works which introduce models for identifying the objects of forensics interest in investigations, but there were no rigorous testing for accepting the approach. Currently in this work, an integrated model is designed based on triage model and 1-2-3 zone model for volatile based data preservation.

Internet of Things(IoT) digital forensic investigation model: Top-down forensic approach methodology

Summary With the proliferation of the digital crime around the world, numerous digital forensic investigation models already being develop .In fact many of the digital forensic investigation model focus on technical implementation of the investigation process as most of it develop by traditional forensic expert and technologist. As an outcome of this problem most of the digital forensic practitioners focus on technical aspect and forget the core concept of digital forensic investigation model .In this paper we are introducing a new digital forensic model which will be capture a full scope of an investigation process based on Malaysia Cyber Law .The proposed model is also compared with the existing model which currently available and being apply in the investigation process.

/pdf/digital-forensic-model-based-on-malaysian-investigation-3e7dk5uwy2.pdf

Digital Forensic Model Based On Malaysian Investigation Process

The paper aims to identify behavioural theories that influence information security policies compliance behaviour A systematic review of empirical studies from eleven online databases (ACM digital library, Emerald Insight, IEEE Xplore digital library, Springer link, Science direct, Scopus, Web of Science, Oxford academic journals, SAGE journals, Taylor & Francis and Wiley online library) are conducted This review identified 29 studies met its criterion for inclusion The investigated theories were extracted and analysed Total of 19 theories have been identified and studied concerning to security policy compliance behaviour The result indicated that the most established theories in information security compliance behaviour studies are the Theory of Planned Behavior and Protection Motivation theory Meanwhile, General Deterrence Theory, Neutralization theory, Social Bond Theory / Social Control Theory are used moderately in this research area Less explored theories are namely Self Determination Theory, Knowledge, Attitude, and Behavior, Social Cognitive Theory, Involvement Theory, Health belief model, Theory of Interpersonal Behavior, Extended Parallel Processing Model, Organisational Control Theory, Psychological Reactance Theory, Norm Activation Theory, Organizational Behaviour Theory, Cognitive Evaluation Theory and Extended Job Demands-Resources The results from this review may guide the development and evaluation of theories promoting information security compliance behaviours This will further contribute in the development of an integrated theory of information security compliance behaviour

https://robots.iopscience.iop.org/article/10.1088/1742-6596/1551/1/012005/pdf

Systematic Literature Review of Information Security Compliance Behaviour Theories

With the proliferation of the digital crime around the world, numerous digital forensic investigation models are already being developed. In fact, many of the digital forensic investigation models focus on technical implementation of the investigation process as most of it were developed by traditional forensic expert and technologist. As an outcome of this problem, most of the digital forensic practitioners focus on technical aspect and forget the core concept of digital forensic investigation model. In this paper, we are introducing a new digital forensic investigation model which will capture a full scope of an investigation process based on Malaysian cyber law. The proposed model is also compared with the existing model which is currently available and being applied in the investigation process.

Integrated computer forensic investigation model based on Malaysian standards

This paper is devoted to design and implement a complete security platform for USB flash disks due to the popularity of this device in exchanging data, it is a complete system security solution as it concerns the thumb drive due to the manipulation of I/O operation not the file system.  USB flash disks have been the major threat for computer system beside the internet threats where viruses can spread from computer to computer or from computer to network. USB complete security system presented by this paper is composed of three essential elements: kernel filter driver which will be installed in USB device driver stack to intercept all exchanged packets and send it to encryption unit, kernel level encryption/decryption unit and configuration unit. In contrary to most USB security modules the system presented by this paper will store only the round number of the key generator with the encrypted data. Round number will be coded using MD5 algorithm to increase the immunity of attacking data stored in the flash disks. Keywords: USB protection, kernel driver, device stack, encryption/decryption, filter driver, MD5.

Sundresan Perumal

Papers

Internet of Things(IoT) digital forensic investigation model: Top-down forensic approach methodology

Digital Forensic Model Based On Malaysian Investigation Process

Systematic Literature Review of Information Security Compliance Behaviour Theories

Integrated computer forensic investigation model based on Malaysian standards

Complete Security Package for USB Thumb Drive