Evidence In Forensic Analysis Research Articles

Comparative study of male and female human hair: A microscopic analysis.

The outer cuticle, middle cortex, and inner medulla make up hair, which is an epidermal outgrowth. Hair is resilient under harsh natural conditions, thus it is frequently collected at crime scenes, making human hair analysis important in the forensic sciences field. It aids in the formation of a triangle connecting a crime scene, a victim, and a culprit. The aim of this study is to observe the microscopic structure of male and female human hair. Samples of hair specimens from males and females were collected. The materials used were ethanol to degrease and a stereomicroscope to observe the structural differences between the male and female hair samples. The comparison between male and female hair is done on the grounds of color, shaft profiles, the proximal and distal ends of the hair, cuticle, and surface texture, and the other found characters. This study of comparison between male and female hair specimens revealed that the hair color at the distal end is found to be brown for females while it is completely black in that of males, and the surface texture of males is found to have some irregularities while there are no irregularities in female. This study can be concluded that the structural comparison between male and female hair specimens can be used as evidence for forensic analysis at crime scenes.

Forensic Analysis of Braking Classification Based on Acceleration, Jerk, and Velocity Data

Nowadays, four-wheeled vehicles are equipped with an event data recorder (EDR) device to record sensors data. With advances in-memory technology, EDR provides evidence for forensic analysis after an accident happens, that uses information technology to facilitate forensic analysis to provide complete and valuable results using digital investigations. Several types of research have been conducted to reconstruct accidents from forensic data and Fuzzy Logic is an alternative method for classifying crash data taken from the accelerometer due to less complexity of implementation. Vehicle braking data is one of the most important evidence for digital investigation, since braking is a complex process determined by many factors, such as the condition of the vehicle, road construction, and the driver’s physiological condition. However, the existing digital investigation still process vehicle speed, deceleration, and varia- tion time of deceleration (known as a jerk) in separated manner to determine braking distance, driver response time, and braking category. The problem identified in this paper is how to use deceleration, velocity, and jerk to categorize the braking evidence forensic analysis. In this paper, forensic analysis is limited to produce forensic evident of braking events based on the collected data. The contribution of this paper is to propose a braking detection model by combining acceleration, speed, and jerk data into a Fuzzy Inference System. As a result, a forensic analysis of braking data can better understand the braking maneuvers, which can be further developed to identify the cause of the accident and provide recommendations on which actions to include in future analyses.

Forensic DNA Banding Patterns

Understanding how DNA banding patterns in a gel can aid in the conviction or exoneration of suspects and be utilized for positive identification of biological fathers in paternity cases can be intimidating. In reality, the logistics and technology used in such cases are rather straightforward. This exercise is designed for use in high school environments as a stand-alone paper lab and as a primer to an actual wet-lab experience, if available. Upon conclusion of the experience, students will have confidence in understanding how DNA fingerprinting can constitute strong evidence in forensic analysis.

Identification of User Ownership in Digital Forensic using Data Mining Technique

As existing technology used by criminal rapidly changes and growing, digital forensics is also growing and important fields of research for current intelligence, law enforcement and military organizations today. As huge information is stored in digital form, the need and ability to analyze and process this information for relevant evidence has grown in complexity. During criminal activities crime committed use digital devices, forensic examiners have to adopt practical frameworks and methods to recover data for analysis which can comprise as evidence. Data Preparation/ Generation, Data warehousing and Data Mining, are the three essential features involved in the investigation process. The purpose of data mining technique is to find the valuable relationships between data items. This paper proposes an approach for preparation, generation, storing and analyzing of data, retrieved from digital devices which pose as evidence in forensic analysis. Attribute classification model has been presented to categorized user files. The data mining tools has been used to identify user ownership and validating the reliability of the pre-processed data. This work proposes a practical framework for digital forensics on hard drives.

A Data Mining Approach for Data Generation and Analysis for Digital Forensic Application

With the rapid advancements in information and communication technology in the world, crimes committed are becoming technically intensive. When crimes committed use digital devices, forensic examiners have to adopt practical frameworks and methods to recover data for analysis which can pose as evidence. Data Generation, Data Warehousing and Data Mining, are the three essential features involved in the investigation process. This paper proposes a unique way of generating, storing and analyzing data, retrieved from digital devices which pose as evidence in forensic analysis. A statistical approach is used in validating the reliability of the pre-processed data. This work proposes a practical framework for digital forensics on flash drives.