Live forensics of tools on android devices for email forensics

Email is one communication technology that can be used to exchange information, data, and etc. The development of email technology not only can be opened using a computer but can be opened using an smartphone. The most widely used smartphone in Indonesian society is Android. Within a row, the development technology of higher cybercrime such as email fraud catching cybercrime offenders need evidence to be submitted to a court, for obtain evidence can use tools like Wireshark and Networkminer to analyzing network traffic on live networks. Opportunity, we will do a comparison of the forensic tools it to acquire digital evidence. The subject of this research focused on Android-based email service to get as much digital evidence as possible on both tools. This process uses National Institute of Standards and Technology method. The results of this research that networkminer managed to get the receiving port, while in Wireshark not found

Cloud Forensics Investigations Relationship: A Model And Instrument

Cloud computing is one of the most important advances in computing in recent history. cybercrime has developed side by side and rapidly in recent years. Previous studies had confirmed the existing gap between cloud service providers (CSPs) and law enforcement agencies (LEAs), and LEAs cannot work without the cooperation of CSPs. Their relationship is influenced by legal, organisational and technical dimensions, which affect the investigations. Therefore, it is essential to enhance the cloud forensics relationship between LEAs and CSPs. This research addresses the need for a unified collaborative model to facilitate proper investigations and explore and evaluate existing different models involved in the relationship between Omani LEAs and local CSPs as a participant in investigations. Further, it proposes a validated research instrument that can be cloud forensics survey. It can also be used as an evaluation tool to identify, measure, and manage cloud forensic investigations

Scoping capacity to deliver practice learning for social work students in statutory mental health settings

This project aimed to explore and evaluate current provision and promote further developments of statutory practice learning opportunities in mental health settings, including Child and Adolescent Mental Health Services(CAMHS)

The Proficiency of Experts

Expert evidence plays a crucial role in civil and criminal litigation. Changes in the rules concerning expert admissibility, following the Supreme Court\u27s Daubert ruling, strengthened judicial review of the reliability and the validity of an expert\u27s methods. Judges and scholars, however, have neglected the threshold question for expert evidence: whether a person should be qualified as an expert in the first place. Judges traditionally focus on credentials or experience when qualifying experts without regard to whether those criteria are good proxies for true expertise. We argue that credentials and experience are often poor proxies for proficiency. Qualification of an expert presumes that the witness can perform in a particular domain with a proficiency that non-experts cannot achieve, yet many experts cannot provide empirical evidence that they do in fact perform at high levels of proficiency. To demonstrate the importance ofproficiency data, we collect and analyze two decades of proficiency testing of latent fingerprint examiners. In this important domain, we found surprisingly high rates of false positive identifications for the period 1995 to 2016. These data would qualify the claims of many fingerprint examiners regarding their near infallibility, but unfortunately, judges do not seek out such information. We survey the federal and state case law and show how judges typically accept expert credentials as a proxy for proficiency in lieu of direct proof of proficiency. Indeed, judges often reject parties\u27 attempts to obtain and introduce at trial empirical data on an expert\u27s actual proficiency. We argue that any expert who purports to give falsifiable opinions can be subjected to proficiency testing and that proficiency testing is the only objective means of assessing the accuracy and reliability ofexperts who rely on subjective judgments to formulate their opinions (so-called black-box experts ). Judges should use proficiency data to make expert qualification decisions when the data is available, should demand proof of proficiency before qualifying black-box experts, and should admit at trial proficiency data for any qualified expert. We seek to revitalize the standard for qualifying experts: expertise should equal proficiency

A Qualitative Study: Forensics Coaches’ Perceptions of Administrators’ Leadership Styles and the Impact Within Their Professional Learning Communities

The purpose of this qualitative interpretive study was to explore class 5/A-6/A forensics coaches\u27 perceptions of administrators\u27 leadership styles and their impact on their professional learning communities in northeast Texas. This study was conducted through open-ended, semi-structured interviews to explore forensics coaches\u27 perceptions of administrators\u27 leadership styles and the impact within their professional learning communities. The problem that drove this study was that within schools where there may be only 1 or possibly 2 highly qualified teachers hired to teach non-core subjects, the opportunity for discourse regarding student learning, shared work-related problems, student achievement, challenges, and best practices are limited. Forensics coaches work behind closed doors, rarely collaborating with colleagues about ways to enhance coaching and teaching practices improving student success. The sample population was high school forensics coaches in Texas with 3 or more years of coaching experience in class 5/A-6/A university scholastic league. The findings indicated a preference for off-site professional learning environments, as well as a desire for administrators to apply multiple styles of leadership depending on the context. The results suggested that administrators consider implementing various modes of leadership styles within their leadership practices focused on forensics coaches\u27 professional development and strategies of leadership to provide adequate provisions to improve forensics coaches\u27 job performance. Keywords: forensics coaches, full-range leadership model, transformationa

A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response

In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and Machine Learning (ML) stands as a transformative technology, poised to amplify the efficiency and precision of digital forensics investigations. However, the use of ML and AI in digital forensics is still in its nascent stages. As a result, this paper gives a thorough and in-depth analysis that goes beyond a simple survey and review. The goal is to look closely at how AI and ML techniques are used in digital forensics and incident response. This research explores cutting-edge research initiatives that cross domains such as data collection and recovery, the intricate reconstruction of cybercrime timelines, robust big data analysis, pattern recognition, safeguarding the chain of custody, and orchestrating responsive strategies to hacking incidents. This endeavour digs far beneath the surface to unearth the intricate ways AI-driven methodologies are shaping these crucial facets of digital forensics practice. While the promise of AI in digital forensics is evident, the challenges arising from increasing database sizes and evolving criminal tactics necessitate ongoing collaborative research and refinement within the digital forensics profession. This study examines the contributions, limitations, and gaps in the existing research, shedding light on the potential and limitations of AI and ML techniques. By exploring these different research areas, we highlight the critical need for strategic planning, continual research, and development to unlock AI's full potential in digital forensics and incident response. Ultimately, this paper underscores the significance of AI and ML integration in digital forensics, offering insights into their benefits, drawbacks, and broader implications for tackling modern cyber threats

Information Pooling Bias in Collaborative Cyber Forensics

abstract: Cyber threats are growing in number and sophistication making it important to continually study and improve all dimensions of cyber defense. Human teamwork in cyber defense analysis has been overlooked even though it has been identified as an important predictor of cyber defense performance. Also, to detect advanced forms of threats effective information sharing and collaboration between the cyber defense analysts becomes imperative. Therefore, through this dissertation work, I took a cognitive engineering approach to investigate and improve cyber defense teamwork. The approach involved investigating a plausible team-level bias called the information pooling bias in cyber defense analyst teams conducting the detection task that is part of forensics analysis through human-in-the-loop experimentation. The approach also involved developing agent-based models based on the experimental results to explore the cognitive underpinnings of this bias in human analysts. A prototype collaborative visualization tool was developed by considering the plausible cognitive limitations contributing to the bias to investigate whether a cognitive engineering-driven visualization tool can help mitigate the bias in comparison to off-the-shelf tools. It was found that participant teams conducting the collaborative detection tasks as part of forensics analysis, experience the information pooling bias affecting their performance. Results indicate that cognitive friendly visualizations can help mitigate the effect of this bias in cyber defense analysts. Agent-based modeling produced insights on internal cognitive processes that might be contributing to this bias which could be leveraged in building future visualizations. This work has multiple implications including the development of new knowledge about the science of cyber defense teamwork, a demonstration of the advantage of developing tools using a cognitive engineering approach, a demonstration of the advantage of using a hybrid cognitive engineering methodology to study teams in general and finally, a demonstration of the effect of effective teamwork on cyber defense performance.Dissertation/ThesisDoctoral Dissertation Applied Psychology 201