An Object Based Decision Support Protocol for Multi- Constraint Agile Digital Forensics Investigation

Q4 Mathematics
T. M. Bhraguram, Dr. P.S Rajakumar, Dr. N. Kanya
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Abstract

The recent scenarios expressing live digital forensics and its applications in security domain with multiple constraint-based analysis. Many digital forensic tools available in the market helps to make a good analysis of various digital forensic situations but the awareness of the situation-based decision making is still an unsolvable issue in many critical forensic cases. As the digital forensic domain increases its scope to various business and computer related industries, leading market investors and the employees are much aware about the digital crimes and its prevention. Here in this article, we proposed a new protocol which can help the decision making of sensitive digital forensic cases by the involvement of various constraint-based evaluation. A multi constraint operational system proposed here for live digital forensic and the decision support system takes an object parameter while the decision-making procedure is implemented. Thus, the protocol introduced here may carry a set of rules where the object formation and decision support constraints bind together and it may reply on the digital forensic tool integration. The characteristics of this protocol is mainly distributed for situation awareness criterion evaluation and modelled to limit the amount of data retrieval and its acquisition. categorical acquisition of digital evidences through time, duration, devices involved, wings of affect, cause of the target, hacker/attacker/affected user, kind of attack are the constraints to be solved through this prototype. The focus of this prototype is for dynamic digital forensics instead classic forensics conducted on switched off devices. This protocol supports the standard organizational formats to follow the forensic procedures in which a detailed recommendations and documentation from various organizations. The standardized formats of National Institute of Standards and Technology (NIST), International Standards Organization (ISO), Global Professional Information Community (AIIM) and American Society for Testing and Materials (now ASTM International) into considered while developing this protocol.
基于对象的多约束敏捷数字取证调查决策支持协议
最近的应用场景表达了实时数字取证及其在安全领域的应用,以及基于多种约束条件的分析。市场上的许多数字取证工具有助于对各种数字取证情况进行良好的分析,但在许多关键的取证案例中,基于情况的决策意识仍然是一个无法解决的问题。随着数字取证领域在各种商业和计算机相关行业的应用范围不断扩大,市场上的主要投资者和员工对数字犯罪及其预防有了更高的认识。在这篇文章中,我们提出了一种新的协议,通过各种基于约束的评估,可以帮助敏感数字取证案件的决策制定。本文针对实时数字取证提出了一个多约束运行系统,决策支持系统在执行决策程序时需要一个对象参数。因此,这里介绍的协议可以携带一套规则,将对象形成和决策支持约束绑定在一起,并可对数字取证工具集成进行回复。通过时间、持续时间、涉及设备、影响范围、目标原因、黑客/攻击者/受影响用户、攻击类型等分类获取数字证据,是本原型要解决的制约因素。本原型的重点是动态数字取证,而不是在关闭设备上进行传统取证。本协议支持标准组织格式,以遵循各组织的详细建议和文件中的取证程序。在制定本协议时,考虑了国家标准与技术研究院(NIST)、国际标准化组织(ISO)、全球专业信息社区(AIIM)和美国材料与试验协会(现为 ASTM International)的标准化格式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.30
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