ADSL Router Forensics Part 2: Acquiring Evidence

The demand for high-speed Internet access is escalating high sales of ADSL routers. In-turn this has prompted individuals to attack and exploit the vulnerabilities in these devices. To respond to these threats, methods of acquisition and analysis are needed. The configuration data provides a wealth of information into the current state of the device. Hence, this data may be used to identify and interpret unlawful ways in which the device was used. This paper is centres around an empirical learning approach identifying techniques to address the device’s acquirable limitations taking into consideration that the owner may not willingly present login credentials to directly access the device. This paper demonstrates a procedural method of obtaining data of interest from ADSL routers. It further elaborates on the methods by detailing how to extract and understand this configuration data

ADSL Router Forensics Part 2: Acquiring Evidence

The demand for high-speed Internet access is escalating high sales of ADSL routers. In-turn this has prompted individuals to attack and exploit the vulnerabilities in these devices. To respond to these threats, methods of acquisition and analysis are needed. The configuration data provides a wealth of information into the current state of the device. Hence, this data may be used to identify and interpret unlawful ways in which the device was used. This paper is centres around an empirical learning approach identifying techniques to address the device’s acquirable limitations taking into consideration that the owner may not willingly present login credentials to directly access the device. This paper demonstrates a procedural method of obtaining data of interest from ADSL routers. It further elaborates on the methods by detailing how to extract and understand this configuration data

ADSL router forensics part 1: An introduction to a new source of electronic evidence

Currently there appears to be a lack of research in the area of developing tools, testing methodologies, and creating standards for ADSL router forensics. The paper examines a wide range of literature and introduces the concept of ADSL router forensics as a new and potential field of research for digital forensics investigators. It begins by examining why there is a need for router forensics by detailing some of the more common threats which consumers may experience while online. An outline will be provided discussing the feasibility, limitations and potential risks of router forensics. The paper will then examine one possible avenue for undertaking router forensics and how this applies to the Linksys WRT54g and finally portrays where the research will continue to hereafter

ADSL router forensics part 1: An introduction to a new source of electronic evidence

Currently there appears to be a lack of research in the area of developing tools, testing methodologies, and creating standards for ADSL router forensics. The paper examines a wide range of literature and introduces the concept of ADSL router forensics as a new and potential field of research for digital forensics investigators. It begins by examining why there is a need for router forensics by detailing some of the more common threats which consumers may experience while online. An outline will be provided discussing the feasibility, limitations and potential risks of router forensics. The paper will then examine one possible avenue for undertaking router forensics and how this applies to the Linksys WRT54g and finally portrays where the research will continue to hereafter

Novel framework for optimized digital forensic for mitigating complex image attacks

Digital Image Forensic is significantly becoming popular owing to the increasing usage of the images as a media of information propagation. However, owing to the presence of various image editing tools and softwares, there is also an increasing threats over image content security. Reviewing the existing approaches of identify the traces or artifacts states that there is a large scope of optimization to be implmentation to further enhance teh processing. Therfore, this paper presents a novel framework that performs cost effective optmization of digital forensic tehnqiue with an idea of accurately localizing teh area of tampering as well as offers a capability to mitigate the attacks of various form. The study outcome shows that propsoed system offers better outcome in contrast to existing system to a significant scale to prove that minor novelty in design attribute could induce better improvement with respect to accuracy as well as resilience toward all potential image threats

A forensics overview and analysis of USB flash memory devices

Current forensic tools for examination of embedded systems like mobile phones and PDAs mostly perform data extraction on a logical level and do not consider the type of storage media during data analysis. This report suggests different low level approaches for the forensic examination of flash memories and describes three lowlevel data acquisition methods for making full memory copies of flash memory devices. Results of a file system study in which USB memory sticks from 45 different make and models were used are presented. For different mobile phones, this paper shows how full memory copies of their flash memories can be made and which steps are needed to translate the extracted data into a format that can be understood by common forensic media analysis tools. Artefacts, caused by flash specific operations like block erasing and wear levelling, are discussed and directions are given for enhanced data recovery and analysis of data originating from flash memory

Forensic investigation of small-scale digital devices: a futuristic view

Small-scale digital devices like smartphones, smart toys, drones, gaming consoles, tablets, and other personal data assistants have now become ingrained constituents in our daily lives. These devices store massive amounts of data related to individual traits of users, their routine operations, medical histories, and financial information. At the same time, with continuously evolving technology, the diversity in operating systems, client storage localities, remote/cloud storages and backups, and encryption practices renders the forensic analysis task multi-faceted. This makes forensic investigators having to deal with an array of novel challenges. This study reviews the forensic frameworks and procedures used in investigating small-scale digital devices. While highlighting the challenges faced by digital forensics, we explore how cutting-edge technologies like Blockchain, Artificial Intelligence, Machine Learning, and Data Science may play a role in remedying concerns. The review aims to accumulate state-of-the-art and identify a futuristic approach for investigating SSDDs

Map My Murder: A Digital Forensic Study of Mobile Health and Fitness Applications

The ongoing popularity of health and fitness applications catalyzes the need for exploring forensic artifacts produced by them. Sensitive Personal Identifiable Information (PII) is requested by the applications during account creation. Augmenting that with ongoing user activities, such as the user’s walking paths, could potentially create exculpatory or inculpatory digital evidence. We conducted extensive manual analysis and explored forensic artifacts produced by (n = 13) popular Android mobile health and fitness applications. We also developed and implemented a tool that aided in the timely acquisition and identification of artifacts from the examined applications. Additionally, our work explored the type of data that may be collected from health and fitness web platforms, and Web Scraping mechanisms for data aggregation. The results clearly show that numerous artifacts may be recoverable, and that the tested web platforms pose serious privacy threats

Forensic investigation of small-scale digital devices: a futuristic view

Small-scale digital devices like smartphones, smart toys, drones, gaming consoles, tablets, and other personal data assistants have now become ingrained constituents in our daily lives. These devices store massive amounts of data related to individual traits of users, their routine operations, medical histories, and financial information. At the same time, with continuously evolving technology, the diversity in operating systems, client storage localities, remote/cloud storages and backups, and encryption practices renders the forensic analysis task multi-faceted. This makes forensic investigators having to deal with an array of novel challenges. This study reviews the forensic frameworks and procedures used in investigating small-scale digital devices. While highlighting the challenges faced by digital forensics, we explore how cutting-edge technologies like Blockchain, Artificial Intelligence, Machine Learning, and Data Science may play a role in remedying concerns. The review aims to accumulate state-of-the-art and identify a futuristic approach for investigating SSDDs