The Experts below are selected from a list of 108 Experts worldwide ranked by ideXlab platform
Shweta Jain - One of the best experts on this subject based on the ideXlab platform.
-
e witness preserve and prove Forensic Soundness of digital evidence
ACM IEEE International Conference on Mobile Computing and Networking, 2018Co-Authors: Priyanka Samanta, Shweta JainAbstract:In this demo we present E-Witness, a system that uses blockchain technology to prove the integrity and spatio-temporal properties of digital evidence captured through a smart-phone. The system consists of a smart-phone application that computes robust hash of pictures or videos taken from the phone camera, a location attestation service and a public blockchain which contains ledger entries to preserve the evidence file's hash and location certificate. The human witness can remain anonymous in this process. An investigator who receives the evidence (by any means) can verify the integrity and spatio-temporal claims of the evidence by querying the blockchain.
-
MobiCom - E-Witness: Preserve and Prove Forensic Soundness of Digital Evidence
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018Co-Authors: Priyanka Samanta, Shweta JainAbstract:In this demo we present E-Witness, a system that uses blockchain technology to prove the integrity and spatio-temporal properties of digital evidence captured through a smart-phone. The system consists of a smart-phone application that computes robust hash of pictures or videos taken from the phone camera, a location attestation service and a public blockchain which contains ledger entries to preserve the evidence file's hash and location certificate. The human witness can remain anonymous in this process. An investigator who receives the evidence (by any means) can verify the integrity and spatio-temporal claims of the evidence by querying the blockchain.
Priyanka Samanta - One of the best experts on this subject based on the ideXlab platform.
-
e witness preserve and prove Forensic Soundness of digital evidence
ACM IEEE International Conference on Mobile Computing and Networking, 2018Co-Authors: Priyanka Samanta, Shweta JainAbstract:In this demo we present E-Witness, a system that uses blockchain technology to prove the integrity and spatio-temporal properties of digital evidence captured through a smart-phone. The system consists of a smart-phone application that computes robust hash of pictures or videos taken from the phone camera, a location attestation service and a public blockchain which contains ledger entries to preserve the evidence file's hash and location certificate. The human witness can remain anonymous in this process. An investigator who receives the evidence (by any means) can verify the integrity and spatio-temporal claims of the evidence by querying the blockchain.
-
MobiCom - E-Witness: Preserve and Prove Forensic Soundness of Digital Evidence
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018Co-Authors: Priyanka Samanta, Shweta JainAbstract:In this demo we present E-Witness, a system that uses blockchain technology to prove the integrity and spatio-temporal properties of digital evidence captured through a smart-phone. The system consists of a smart-phone application that computes robust hash of pictures or videos taken from the phone camera, a location attestation service and a public blockchain which contains ledger entries to preserve the evidence file's hash and location certificate. The human witness can remain anonymous in this process. An investigator who receives the evidence (by any means) can verify the integrity and spatio-temporal claims of the evidence by querying the blockchain.
Kim-kwang Raymond Choo - One of the best experts on this subject based on the ideXlab platform.
-
A Forensically Sound Adversary Model for Mobile Devices
PLOS ONE, 2015Co-Authors: Quang Do, Ben Martini, Kim-kwang Raymond ChooAbstract:In this paper, we propose an adversary model to facilitate Forensic investigations of mobile devices (e.g. Android, iOS and Windows smartphones) that can be readily adapted to the latest mobile device technologies. This is essential given the ongoing and rapidly changing nature of mobile device technologies. An integral principle and significant constraint upon Forensic practitioners is that of Forensic Soundness. Our adversary model specifically considers and integrates the constraints of Forensic Soundness on the adversary, in our case, a Forensic practitioner. One construction of the adversary model is an evidence collection and analysis methodology for Android devices. Using the methodology with six popular cloud apps, we were successful in extracting various information of Forensic interest in both the external and internal storage of the mobile device.
-
A mapping of methodology stages to adversary capabilities, constraints and adherence to Forensic Soundness constraints.
2015Co-Authors: Ben Martini, Kim-kwang Raymond ChooAbstract:A mapping of methodology stages to adversary capabilities, constraints and adherence to Forensic Soundness constraints.
Quang Do - One of the best experts on this subject based on the ideXlab platform.
-
Digital Forensics in the cloud era: the decline of passwords and the need for legal reform
Trends and issues in crime and criminal justice, 2016Co-Authors: Ben Martini, Quang DoAbstract:Online and cloud computing services are increasingly prevalent to the point where, for many people, they are integral to communication in their daily lives. From a criminal justice perspective, this makes them key sources of evidence for prosecuting both traditional and online crime (Quick, Martini & Choo 2014). However, the successful prosecution of individuals who commit crimes involving electronic evidence relies upon two major factors. The first is appropriately resourced law enforcement agencies and Forensic practitioners who are able to collect, analyse and present the evidence (Quick and Choo 2014); the second is a legislative framework that facilitates the collection of evidence in the modern era, particularly where much of the relevant electronic evidence may be stored beyond the jurisdiction of the investigating law enforcement agency, and the nation's borders generally (Choo 2010, 2014). Given the relatively recent advent and changing face of cloud computing technologies, and their widespread use, it is important to discuss these factors when looking at the challenges of collecting evidence from cloud computing systems in the current statutory environment, and the technical challenges of authentication in Forensic collection-particularly as cloud service providers continue to enhance the security of their services.This paper first discusses the various provisions for search and seizure of evidence available to Australian law enforcement agencies. It then focuses on the increasing emphasis placed on the security of online services in recent times and the effect this has had on authentication. Where digital Forensics are used to collect evidence of a crime within a law enforcement agency's physical jurisdiction, it is common practice to take a physical bit-stream image of the storage in the devices to be Forensically analysed. The methods used to collect this image do not generally require authentication, as the process requires physical control of the device. In the online environment users-and, generally, Forensic practitioners-do not have physical access to the storage devices hosting their data.There is still a need, however, for a copy of the electronic evidence to be analysed and, ultimately, presented.It has become relatively common for Forensic practitioners, particularly those outside the jurisdiction of the cloud service provider, to obtain copies of electronic evidence using similar technical means as the user (eg a client-visible application programming interface or API). There is some doubt as to the Forensic Soundness of this process, particularly in terms of the lack of preservation measurements such as cryptographic hashes (which act as a unique identifier) matching for the source and the Forensic image (an identical duplicate of the data source), and the increased potential for contamination, depending on the software tools used. As such, the most appropriate means of undertaking such a collection remain undetermined.Regardless of the tools or methods used, most online services require authentication for every data access request. This relies on the practitioner gaining access to the user's credentials. These credentials have traditionally been a username and password, and law enforcement agencies have developed various methods, such as extracting them from application caches, to obtain them from suspects or their devices. As service providers improve the security of their services, however, there are fewer avenues available for collecting these credentials. This is at least in part due to the increase in tokenbased authentication systems in contemporary apps. A token-based system typically requires the user's credentials only once, at initial logon. These credentials are then used to obtain one or more tokens that are used for future authentication as required. This is discussed in greater detail in the Authentication systems section of this paper.To ensure law enforcement are able to maintain and, optimally, improve their current capabilities in evidence collection from online and cloud services, they must clearly understand the operation of contemporary authentication systems. …
-
A Forensically Sound Adversary Model for Mobile Devices
PLOS ONE, 2015Co-Authors: Quang Do, Ben Martini, Kim-kwang Raymond ChooAbstract:In this paper, we propose an adversary model to facilitate Forensic investigations of mobile devices (e.g. Android, iOS and Windows smartphones) that can be readily adapted to the latest mobile device technologies. This is essential given the ongoing and rapidly changing nature of mobile device technologies. An integral principle and significant constraint upon Forensic practitioners is that of Forensic Soundness. Our adversary model specifically considers and integrates the constraints of Forensic Soundness on the adversary, in our case, a Forensic practitioner. One construction of the adversary model is an evidence collection and analysis methodology for Android devices. Using the methodology with six popular cloud apps, we were successful in extracting various information of Forensic interest in both the external and internal storage of the mobile device.
Mariana Roccaro - One of the best experts on this subject based on the ideXlab platform.
-
The reliability and Forensic Soundness of the equine shin circumference measurement in living animals versus post‑mortem examination.
Veterinaria italiana, 2018Co-Authors: Angelo Peli, Mariana RoccaroAbstract:Catastrophic injuries in racehorses mostly involve the metacarpal region. Although many studies describe fractures of equine limbs, few examine the relationship between bone morphometrics and musculoskeletal problems in racing horses. And yet, according to the regulation of some Italian traditional races, the shin circumference represents a qualifying prerequisite for horses to be admitted to races. This study aims to evaluate the conformity of the shin circumference measurement in living animals and in post‑mortem examinations, in order to evaluate the Forensic reliability of these measurements. The right and left distal forelimbs from 11 horses of 5 different breeds were examined. The shin circumference was measured at 3 time points: in the living animal before slaughter/euthanasia, 5 hours post‑mortem, and after 14‑days of cold storage. The isolated limbs were also weighed in both of the post‑mortem examinations. In the examined sample, the mean shin circumference was 24.0 ± 2.4 cm in living animals, 22.9 ± 2.5 cm 5 hours post‑mortem, and 22.4 ± 2.3 cm after 14‑days of cold storage, with a highly significant difference between these measurements (P < 0.001). There was also a significant decrease in the limbs' weight between the 2 post‑mortem examinations (P < 0.001). According to our findings, the post‑mortem measurement significantly underestimates the in vivo dimensions of the shin circumference, even when performed a few hours after death; the Forensic Soundness of this parameter is therefore limited.
-
the reliability and Forensic Soundness of the equine shin circumference measurement in living animals versus post mortem examination
Veterinaria Italiana, 2018Co-Authors: Angelo Peli, Mariana RoccaroAbstract:Catastrophic injuries in racehorses mostly involve the metacarpal region. Although many studies describe fractures of equine limbs, few examine the relationship between bone morphometrics and musculoskeletal problems in racing horses. And yet, according to the regulation of some Italian traditional races, the shin circumference represents a qualifying prerequisite for horses to be admitted to races. This study aims to evaluate the conformity of the shin circumference measurement in living animals and in post‑mortem examinations, in order to evaluate the Forensic reliability of these measurements. The right and left distal forelimbs from 11 horses of 5 different breeds were examined. The shin circumference was measured at 3 time points: in the living animal before slaughter/euthanasia, 5 hours post‑mortem, and after 14‑days of cold storage. The isolated limbs were also weighed in both of the post‑mortem examinations. In the examined sample, the mean shin circumference was 24.0 ± 2.4 cm in living animals, 22.9 ± 2.5 cm 5 hours post‑mortem, and 22.4 ± 2.3 cm after 14‑days of cold storage, with a highly significant difference between these measurements (P < 0.001). There was also a significant decrease in the limbs' weight between the 2 post‑mortem examinations (P < 0.001). According to our findings, the post‑mortem measurement significantly underestimates the in vivo dimensions of the shin circumference, even when performed a few hours after death; the Forensic Soundness of this parameter is therefore limited.