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5th International Conference on Communication Systems and Network Technologies (CSNT)

作者： Mohite, Monali P. Ardhapurkar, S. B. YCCE Dept Comp Technol Nagpur Maharashtra India

ISBN: (纸本)9781479917976

Nowadays, Cloud computing is receiving more and more attention from the information and communication technology industry recently. Thus, From the demand of cloud users digital forensics in cloud computing are a raw expanse of study linked to the increasing use of information processing governance, internet and digital computer storage devices in numerous criminal actions in both traditional and Hi-Tech. The digital forensics, including handle, conduct of, study, and document digital evidence in a court of law. Digital forensic tool in a cloud computing environment is a big demand from forensic investigator. Thus, in the process of digital forensics, it is needed to create an image of the original digital data without damage and to show that the computer evidence existed at the specific time. The evidences are then analyzed by the forensic investigator. After the proof is examined, it is obliged to make a report to embrace it as legitimately successful confirmation in the law court. To give an advanced crime scene investigation benefit on cloud environment, a cloud based computer forensic tool is proposed in this paper. To probe the evidence multiple features are provided in this tool like data recovery, sorting, indexing, hex viewer, data bookmarking.

关键词： computer forensic Cloud Computing Digital Evidence forensic Investigation

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Design and Implementation of a Cloud Based computer forensic Tool

Design and Implementation of a Cloud Based Computer Forensic...

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International Conference on Communication Systems and Network Technologies

作者： Monali P. Mohite S. B. Ardhapurkar Department of Computer Technology Y.C.C.E Nagpur India Department of Computer Technology Y.C.C.E. Nagpur India

ISBN: (纸本)9781479917983

Nowadays, Cloud computing is receiving more and more attention from the information and communication technology industry recently. Thus, From the demand of cloud users digital forensics in cloud computing are a raw expanse of study linked to the increasing use of information processing governance, internet and digital computer storage devices in numerous criminal actions in both traditional and Hi-Tech. The digital forensics, including handle, conduct of, study, and document digital evidence in a court of law. Digital forensic tool in a cloud computing environment is a big demand from forensic investigator. Thus, in the process of digital forensics, it is needed to create an image of the original digital data without damage and to show that the computer evidence existed at the specific time. The evidences are then analyzed by the forensic investigator. After the proof is examined, it is obliged to make a report to embrace it as legitimately successful confirmation in the law court. To give an advanced crime scene investigation benefit on cloud environment, a cloud based computer forensic tool is proposed in this *** probe the evidence multiple features are provided in this tool like data recovery, sorting, indexing, hex viewer, data bookmarking.

关键词： computer forensic Cloud Computing Digital Evidence forensic Investigation

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Current Status and Development Trend of Research of computer forensic

Current Status and Development Trend of Research of Computer...

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4th International Conference on Frontiers of Manufacturing and Design Science (ICFMD 2013)

作者： Fu ZhongYong Zhao ZhenZhou Beijing Coll Polit & Law Dept Informat Technol Beijing 100024 Peoples R China

ISBN: (纸本)9783037859926

With the popularity of computer and network technology, information security problem is increasingly highlighted, and the computer related crime phenomenon more and more. computer forensics to protect information security and to crack down on computer crime provides scientific methods and means, can provide evidence of the court need. This paper first gives the definition of computer forensics, and then introduces the features of computer evidence, principles and classification of computer forensics, finally describes the research status of computer forensics, points out the problems existing in the computer forensics and its development trend is forecasted.

关键词： computer forensic electronic evidence computer crime information security

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Analysis of Digital Information in Storage Devices Using Supervised and Unsupervised Natural Language Processing Techniques

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FUTURE INTERNET 2023年第5期15卷 155-155页

作者： Hernandez, Luis Alberto Martinez Orozco, Ana Lucila Sandoval Villalba, Luis Javier Garcia Univ Complutense Madrid UCM Fac Comp Sci & Engn Dept Software Engn & Artificial Intelligence DISI Grp Anal Secur & Syst GASS Off 431Calle Prof Jose Garcia Santesmases 9Ciud Madrid 28040 Spain

Due to the advancement of technology, cybercrime has increased considerably, making digital forensics essential for any organisation. One of the most critical challenges is to analyse and classify the information on devices, identifying the relevant and valuable data for a specific purpose. This phase of the forensic process is one of the most complex and time-consuming, and requires expert analysts to avoid overlooking data relevant to the investigation. Although tools exist today that can automate this process, they will depend on how tightly their parameters are tuned to the case study, and many lack support for complex scenarios where language barriers play an important role. Recent advances in machine learning allow the creation of new architectures to significantly increase the performance of information analysis and perform the intelligent search process automatically, reducing analysis time and identifying relationships between files based on initial parameters. In this paper, we present a bibliographic review of artificial intelligence algorithms that allow an exhaustive analysis of multimedia information contained in removable devices in a forensic process, using natural language processing and natural language understanding techniques for the automatic classification of documents in seized devices. Finally, some of the open challenges technology developers face when generating tools that use artificial intelligence techniques to analyse the information contained in documents on seized devices are reviewed.

关键词： artificial intelligence digital information computer forensic entity extraction entity recognition storage devices text processing

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Hadoop-based analytic framework for cyber forensics

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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2018年第15期31卷 e3772-e3772页

作者： Chhabra, Gurpal Singh Singh, Varinderpal Singh, Maninder Thapar Univ Comp Sci & Engn Dept Patiala Punjab India

With an exponential increase in the data size and complexity of various documents to be investigated, existing methods of network forensics are found not much efficient with respect to accuracy and detection ratio. The existing techniques for network forensic analysis exhibit inherent limitations while processing a huge volume, variety, and velocity of data. It makes network forensic a time-consuming and resource-consuming task. To balance time taken and output delivered, these existing techniques put a limit on the amount of data under analysis, which results in a polynomial time complexity of these solutions. So to mitigate these issues, in this paper, we propose an effective framework to overcome the limitation to handle large volume, variety, and velocity of data. An architectural setup that consists of MapReduce framework on top of Hadoop Distributed File System environment is proposed in this paper. The proposed framework demonstrates its capability to handle issues of storage and processing of big data using cloud computing. Also, in the proposed framework, supervised machine learning (random forest-based decision tree) algorithm has been implemented to demonstrate better sensitivity. To train and validate the model, online available data set from CAIDA is taken and university network traffic samples, with increasing size, has been taken for experiment. Results thus obtained confirm the superiority of the proposed framework in network forensics, with an average accuracy of 99.34% (malicious and nonmalicious traffic).

关键词： Big Data computer forensic DDoS attack Hadoop ICMP flooding machine learning network forensic framework random forest Smurf attack

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Selective deletion of non-relevant data

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DIGITAL INVESTIGATION 2017年 20卷 S92-S98页

作者： Zoubek, Christian Sack, Konstantin Tech Hsch Nurnberg Georg Simon Ohm Dept Comp Sci Nurnberg Germany Friedrich Alexander Univ Erlangen Nurnberg FAU Dept Comp Sci Erlangen Germany

In crime investigation, especially in computer crime investigations, seizure and analysis of digital evidence is a de facto standard procedure. To prevent alterations on the original digital evidence a so called (bitwise) image is created. In this image all data contained on the digital evidence is stored, even nonrelevant content or content with the risk of associated privacy violations. In countries with an elaborate protection of private personal or confidential data, this data has to be securely deleted from the image. Facing the rising request for a selective deleting functionality, common problems, limitations and requirements for a tool selectively deleting non-relevant data are outlined in this paper. For demonstration purposes, a prototype as a plugin for the Digital forensics Framework (DFF) was implemented. The design of the implementation, some considerations as well as a comparison between a commercial tool and the evaluation of the implemented wiping strategy are presented. c 2017 The Author(s). Published by Elsevier Ltd on behalf of DFRWS.

关键词： Digital forensic Image Wiping Private personal data computer forensic Selective deletion

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Selective deletion of non-relevant data 4

Selective deletion of non-relevant data

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4th Annual DFRWS Europe Conference

作者： Zoubek, Christian Sack, Konstantin Tech Hsch Nurnberg Georg Simon Ohm Dept Comp Sci Nurnberg Germany Friedrich Alexander Univ Erlangen Nurnberg FAU Dept Comp Sci Erlangen Germany

关键词： Digital forensic Image Wiping Private personal data computer forensic Selective deletion

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Qualitative and Quantitative Analysis of Cloud Based Digital forensic Tool 10

Qualitative and Quantitative Analysis of Cloud Based Digital...

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10th International Conference on Intelligent Systems and Control (ISCO)

作者： Mohite, Monali P. Deshmukh, Jyoti Y. Gulve, Pallavi R. JSPMs BSIOTR Dept Comp Engn Pune Maharashtra India

ISBN: (纸本)9781467378079

Digital evidence stored on digital devices play an important role in a wide range of types of crime, including murder, computer intrusion, espionage, extortion and child pornography in proof of a fact about what did or did not happen. However, digital information is fragile because it can be easily modified, copied, stored or destroyed. All digital evidence will be analyzed to determine the type of information stored in digital devices. The field of Digital forensics is highly dependent on Tools with more features. In our work Cloud Based Digital forensic Tool (CBDFT) is developed for acquisition, preservation, analysis and presentation of digital evidence. In this paper to measure the functionality of various forensic tools, we have compared the results generated by CBDFT with other available tools like FTK, Encase, Recover my files, Recuva, Blade, and forensic Imager. These tools were examined in a fixed scenario to show the differences and capabilities of each tool.

关键词： computer forensic Cloud Computing Digital Evidence forensic Investigation

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The Development of an Images Detection System Based on Extracting the Colour Gradient Co-occurrence Matrix Features 9

The Development of an Images Detection System Based on Extra...

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9th International Conference on Developments in eSystems Engineering (DeSE)

作者： Aljarf, Ahd Amin, Saad Filippas, John Shuttelworth, James Coventry Univ Fac Engn & Comp Comp Dept Coventry W Midlands England

ISBN: (纸本)9781509054879

Many steganalysis methods have been introduced in the literature. These methods were developed to combat specific steganography techniques and to detect specific image formats. However, no single steganalysis method or tool can detect all types of steganography and support all available image formats. This paper proposes a detection system based on the colour gradient co-occurrence matrix (CGCM). Varieties of statistical features were extracted from the CGCM. The system was developed to detect RGB stego images with 24-bit depth. An image-data base was created to test and train the system. The stego images included in the data-base were created using commonly-used steganography method, which is Least Significant Bit (LSB). The size of hidden files plays an important role in terms of detection. Therefore, to improve the proposed system's detection capacity, different sizes of hidden files have been considered. The proposed detection system was trained and tested to distinguish stego images from clean ones using the discriminant analysis (DA) and multilayer neural network (MLP) classification methods. The paper presents the ability of the proposed system which achieved effective performance in terms of detecting stego images.

关键词： Image Steganography Images Steganalysis Stego Images Security Image Processing computer forensic

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Utilizing Virtualization Technology in computer forensic

Utilizing Virtualization Technology in Computer Forensic

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2011 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS 2011)

作者： Liming Cai1,Bo Jin1,Jing Sha1,Xi Xie2 1.Key Laboratory of Information Network Security,Ministry of Public Security,People’s Republic of China The 3rd Research Institute of Ministry of Public Security Shanghai,China2.The Administrative Centre for China's Agenda 21 Beijing,China

In this paper we firstly introduce the conventional process of computer *** we discuss the great advantage of virtualization *** we propose to utilize virtualization technology in computer *** an example scenario is d... 详细信息

关键词： computer forensic virtualization techonology Virtual Machine(VM)

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