Relevant bibliographies by topics / Anti-computer forensics

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Anti-computer forensics'

Author: Grafiati
Published: 24 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Anti-computer forensics"

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Aziz, Benjamin, Clive Blackwell, and Shareeful Islam. "A Framework for Digital Forensics and Investigations." International Journal of Digital Crime and Forensics 5, no. 2 (April 2013): 1–22. http://dx.doi.org/10.4018/jdcf.2013040101.

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Digital forensics investigations are an important task for collecting evidence based on the artifacts left in computer systems for computer related crimes. The requirements of such investigations are often a neglected aspect in most of the existing models of digital investigations. Therefore, a formal and systematic approach is needed to provide a framework for modeling and reasoning about the requirements of digital investigations. In addition, anti-forensics situations make the forensic investigation process challenging by contaminating any stage of the investigation process, its requirements, or by destroying the evidence. Therefore, successful forensic investigations require understanding the possible anti-forensic issues during the investigation. In this paper, the authors present a new method for guiding digital forensics investigations considering the anti-forensics based on goal-driven requirements engineering methodologies, in particular KAOS. Methodologies like KAOS facilitate modeling and reasoning about goals, requirements and obstacles, as well as their operationalization and responsibility assignments. The authors believe that this new method will lead in the future to better management and organization of the various steps of forensics investigations in cyberspace as well as provide more robust grounds for reasoning about forensic evidence.
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Yang, Pengpeng, Daniele Baracchi, Rongrong Ni, Yao Zhao, Fabrizio Argenti, and Alessandro Piva. "A Survey of Deep Learning-Based Source Image Forensics." Journal of Imaging 6, no. 3 (March 4, 2020): 9. http://dx.doi.org/10.3390/jimaging6030009.

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Image source forensics is widely considered as one of the most effective ways to verify in a blind way digital image authenticity and integrity. In the last few years, many researchers have applied data-driven approaches to this task, inspired by the excellent performance obtained by those techniques on computer vision problems. In this survey, we present the most important data-driven algorithms that deal with the problem of image source forensics. To make order in this vast field, we have divided the area in five sub-topics: source camera identification, recaptured image forensic, computer graphics (CG) image forensic, GAN-generated image detection, and source social network identification. Moreover, we have included the works on anti-forensics and counter anti-forensics. For each of these tasks, we have highlighted advantages and limitations of the methods currently proposed in this promising and rich research field.
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Zhong, Xiu Yu, and Feng Zeng. "A New Approach of Computer Forensics Based on Steganalysis." Advanced Materials Research 631-632 (January 2013): 1385–89. http://dx.doi.org/10.4028/www.scientific.net/amr.631-632.1385.

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Criminals often destructed or hided evidence after making crime by computer, they hindered computer forensics by anti-forensics technology. A new approach of computer forensics based on steganalysis is proposed. The common anti-forensics technologies, such as steganography, data encryption delete evidence and make forensics invalid. In order to enhance the evidence efficiency, steganalysis is applied in the computer forensics to collect and transfer evidence. Simulation results show that steganography based on least significant bit (LSB) by java program embeds the text files into the BMP image files, which sizes are nearly invariable. Steganalysis restores the hidden information and provides convenient method for computer forensics.
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Chandran, Rahul, and Wei Q. Yan. "Attack Graph Analysis for Network Anti-Forensics." International Journal of Digital Crime and Forensics 6, no. 1 (January 2014): 28–50. http://dx.doi.org/10.4018/ijdcf.2014010103.

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The development of technology in computer networks has boosted the percentage of cyber-attacks today. Hackers are now able to penetrate even the strongest IDS and firewalls. With the help of anti-forensic techniques, attackers defend themselves, from being tracked by destroying and distorting evidences. To detect and prevent network attacks, the main modus of operandi in network forensics is the successful implementation and analysis of attack graph from gathered evidences. This paper conveys the main concepts of attack graphs, requirements for modeling and implementation of graphs. It also contributes the aspect of incorporation of anti-forensic techniques in attack graph which will help in analysis of the diverse possibilities of attack path deviations and thus aids in recommendation of various defense strategies for better security. To the best of our knowledge, this is the first time network anti-forensics has been fully discussed and the attack graphs are employed to analyze the network attacks. The experimental analysis of anti-forensic techniques using attack graphs were conducted in the proposed test-bed which helped to evaluate the model proposed and suggests preventive measures for the improvement of security of the networks.
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Dahbur, Kamal, and Bassil Mohammad. "Toward Understanding the Challenges and Countermeasures in Computer Anti-Forensics." International Journal of Cloud Applications and Computing 1, no. 3 (July 2011): 22–35. http://dx.doi.org/10.4018/ijcac.2011070103.

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The term computer anti-forensics (CAF) generally refers to a set of tactical and technical measures intended to circumvent the efforts and objectives of the field of computer and network forensics (CF). Many scientific techniques, procedures, and technological tools have evolved and effectively applied in the field of CF to assist scientists and investigators in acquiring and analyzing digital evidence for the purpose of solving cases that involve the use or misuse of computer systems. CAF has emerged as a CF counterpart that plants obstacles throughout the path of computer investigations. The purpose of this paper is to highlight the challenges introduced by anti-forensics, explore various CAF mechanisms, tools, and techniques, provide a coherent classification for them, and discuss their effectiveness. Moreover, the authors discuss the challenges in implementing effective countermeasures against these techniques. A set of recommendations are presented with future research opportunities.
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Jing Peng, Can Wang, and Hu Wu. "A Novel File-Concealing Method for Computer Anti-Forensics." Journal of Convergence Information Technology 8, no. 6 (March 31, 2013): 1203–10. http://dx.doi.org/10.4156/jcit.vol8.issue6.143.

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Chen, Hu. "Dilemmas in Digital Forensics for Computer Equipment Security and Maintenance in Remote Ships." Advanced Materials Research 490-495 (March 2012): 1382–86. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1382.

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As remote ships have equipped a large number of computer equipments, the maintenance of such equipments confronts a great challenge. Since some embedded devices among them may be hacked by attackers or disabled by Byzantine failure, to discover the attacking originality and fault source present foremost importance. In this article, we discuss digital investigation and forensics as a general viewpoint. We point out some dilemmas that hinder the development of digital forensics, some of which may be fundamental problems. We propose to expand the concept of digital forensics to a wider scope so as to include digital investigation for information instead of only evidence. We also argue that the fostering of novel contributions should be relied on technical experts instead of law experts as emerging new techniques always result in new digital crimes. We promote the divorce between the technical experts who focus on the contribution of technologies, and legal authorities who are responsible to bridge the gap between technologies and standard/formalization. Digital forensics methods are encouraged to be publicly available, but the contributors should be aware of the possibility of anti-forensics.
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Castillo Camacho, Ivan, and Kai Wang. "A Comprehensive Review of Deep-Learning-Based Methods for Image Forensics." Journal of Imaging 7, no. 4 (April 3, 2021): 69. http://dx.doi.org/10.3390/jimaging7040069.

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Seeing is not believing anymore. Different techniques have brought to our fingertips the ability to modify an image. As the difficulty of using such techniques decreases, lowering the necessity of specialized knowledge has been the focus for companies who create and sell these tools. Furthermore, image forgeries are presently so realistic that it becomes difficult for the naked eye to differentiate between fake and real media. This can bring different problems, from misleading public opinion to the usage of doctored proof in court. For these reasons, it is important to have tools that can help us discern the truth. This paper presents a comprehensive literature review of the image forensics techniques with a special focus on deep-learning-based methods. In this review, we cover a broad range of image forensics problems including the detection of routine image manipulations, detection of intentional image falsifications, camera identification, classification of computer graphics images and detection of emerging Deepfake images. With this review it can be observed that even if image forgeries are becoming easy to create, there are several options to detect each kind of them. A review of different image databases and an overview of anti-forensic methods are also presented. Finally, we suggest some future working directions that the research community could consider to tackle in a more effective way the spread of doctored images.
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Sihwail, Rami, Khairuddin Omar, Khairul Zainol Ariffin, and Sanad Al Afghani. "Malware Detection Approach Based on Artifacts in Memory Image and Dynamic Analysis." Applied Sciences 9, no. 18 (September 5, 2019): 3680. http://dx.doi.org/10.3390/app9183680.

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The need to detect malware before it harms computers, mobile phones and other electronic devices has caught the attention of researchers and the anti-malware industry for many years. To protect users from malware attacks, anti-virus software products are downloaded on the computer. The anti-virus mainly uses signature-based techniques to detect malware. However, this technique fails to detect malware that uses packing, encryption or obfuscation techniques. It also fails to detect unseen (new) ones. This paper proposes an integrated malware detection approach that applies memory forensics to extract malicious artifacts from memory and combines them to features extracted during the execution of malware in a dynamic analysis. Pre-modeling techniques were also applied for feature engineering before training and testing the data set on the machine learning models. The experimental results show a significant improvement in both detection accuracy rate and false positive rate, 98.5% and 1.7% respectively, by applying the support vector machine. The results verify that our integrated analysis approach outperforms other analysis methods. In addition, the proposed approach overcomes the limitation of single path file execution in dynamic analysis by adding more relevant memory artifacts that can reveal the real intention of malicious files.
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Berghel, Hal. "Hiding data, forensics, and anti-forensics." Communications of the ACM 50, no. 4 (April 2007): 15–20. http://dx.doi.org/10.1145/1232743.1232761.

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Dissertations / Theses on the topic "Anti-computer forensics"

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Bade, Hans, and Oscar Hedlund. "Anti-Forensik : Anti-forensiska metoder på mobila enheter." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37701.

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Mobiltelefoner har blivit grundläggande för extrahering av digitala artefakter i fo-rensiska utredningar. Androids Linuxbaserade operativsystem medför större möj-ligheter för anti-forensiska metoder, detta gör att kunskap om anti-forensik äressentiell för dagens IT-forensiska utredare. I denna studie belyses effekten avanti-forensik i Androidbaserade mobila enheter samt så upplyses det om dagensanti-forensiska attack metoder mot forensiska verktyg. Genom experiment så vi-sas det hur man kan förhindra ett forensisk verktyg från att extrahera data medanvändning av ett simpelt script.
Mobile phones have become essential for the extraction of digital artifacts in foren-sic investigations. Android’s Linux-based operating systems bring greater potentialfor anti-forensic methods, which means that knowledge of anti-forensics is essen-tial to today’s IT forensic investigators. In this study, the effect of anti-forensicson Android-based mobile devices is highlighted, as well as revealing today’s anti-forensic attack methods against forensic tools. By experiment, it is shown how toprevent a forensic tool from extracting data by using a simple script.
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Etow, Tambue Ramine. "IMPACT OF ANTI-FORENSICS TECHNIQUES ON DIGITAL FORENSICS INVESTIGATION." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97116.

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Computer crimes have become very complex in terms of investigation and prosecution. This is mainly because forensic investigations are based on artifacts left oncomputers and other digital devices. In recent times, perpetrators of computer crimesare getting abreast of the digital forensics dynamics hence, capacitated to use someanti-forensics measures and techniques to obfuscate the investigation processes.Incases where such techniques are employed, it becomes extremely difficult, expensive and time consuming to carry out an effective investigation. This might causea digital forensics expert to abandon the investigation in a pessimistic manner.ThisProject work serves to practically demonstrate how numerous anti-forensics can bedeployed by the criminals to derail the smooth processes of digital forensic investigation with main focus on data hiding and encryption techniques, later a comparativestudy of the effectiveness of some selected digital forensics tools in analyzing andreporting shreds of evidence will be conducted.
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Tagesson, Samuel. "Anti-forensik mot minnesforensik : En litteraturstudie om anti-forensiska metoder mot minnesdumpning och minnesanalys." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17818.

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IT-forensiker möter många svårigheter i sitt arbete med att inhämta och analysera data. Brottslingar använder mer och mer anti-forensiska metoder för att gömma bevis som kan användas emot dem. En vanligt förekommande anti-forensisk metod är kryptering. För att IT-forensiker skall kunna komma åt den krypterade informationen kan krypteringsnyckeln hittas i minnet på datorn. Vilket gör att datorns minne blir värdefullt att hämta och analysera. Däremot finns det flera anti-forensiska metoder som en förbrytare kan använda för att förhindra att minnet hämtas eller analyseras. Denna studie utför en systematisk litteraturstudie för att identifiera de aktuella anti-forensiska metoder mot minnesanalys och minnesdumpning på Windows system. Flera metoder tas upp där bland annat operativsystemet modifieras eller inbyggda säkerhetsfunktioner på CPUn används för att förhindra att information hämtas eller analyseras från minnet.
IT forensics face many difficulties in their work of obtaining and analyzing data. Criminals are using more and more anti-forensic methods to hide evidence that can be used against them. One common anti-forensic method is encryption. In order for IT forensics to access the encrypted information, the encryption key can be found in the memory of the computer. This makes the computer's memory valuable to retrieved and analyze. However, there are several anti-forensic methods that a criminal can use to prevent the memory from being retrieved or analyzed. This study performs a systematic literature study to identify the current anti-forensic methods against memory analysis and memory dumping on Windows system. Several methods are addressed where, among other things, the operating system is modified or built-in security functions on the CPU are used to prevent information being retrieved or analyzed from memory.
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Jacobsson, Emma, and Wistad Ebba Andersson. "Digital bevisning : En definition." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44963.

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The digitalization of society has contributed to a more convenient lifestyle for the Swedishpopulation. Our everyday life includes digital technology that saves information about us and our actions from digital devices. Collected digital information can be admissible as evidence in a legal process. Despite the increase in crimes involving IT, Sweden seems to lack an official description for the concept of digital evidence. The purpose of this report is to propound two definitions: one for the general public and one more suitable for specific technical usage by people in the field. This report focuses on three different areas which together contribute to a holistic approach to gaining the basic knowledge and understanding of what digital evidence is. These areas include the value of digital evidence in a court decision, how anti-computer forensics can affect its extraction, and the legitimacy of digital evidence. To explore the various areas, employees within the police authority have answered questions based on their professional roles. The participants work as either investigators, preliminary investigation leaders, IT-computer forensic scientists, or prosecutors. The participants' answers have, together with literature, contributed to the definition of the concept of digital evidence and to the creation of a basic understanding of the subject of digital evidence.
Digitaliseringen av samhället har bidragit till en enklare vardag för den svenskabefolkningen. Denna vardag består till stor del av digital teknik som sparar information om oss och våra handlingar från digitala enheter. Insamlad digital information kan användas som bevismaterial i en rättsprocess. Trots den kraftfulla ökningen av IT-brott verkar Sverige sakna en officiell vedertagen beskrivning för begreppet digital bevisning. Arbetets syfte har varit att föreslå två definitioner; en för lekmän och en som lämpar sig för tekniskt kunniga. Arbetet fördjupar sig inom tre områden och bidrar därmed till ett helhetsperspektiv för att få en förståelse för vad digital bevisning är. Problemområdena innefattar den digitala bevisningens värde i ett domstolsbeslut, hur anti-forensik påverkar utvinningen och legitimiteten av digitala bevis. För att få en större förståelse för utmaningarna inom de angivna problemområdena har ett antal anställda inom polismyndigheten fått svara på frågor som riktar sig till deras arbetsuppgifter. Deltagarna som har blivit tillfrågade arbetar som utredare, förundersökningsledare, IT-forensiker och åklagare. Deltagarnas svar har tillsammans med tidigare forskning skapat utgångspunkten för att definiera begreppet digital bevisning och skapa en mera gedigen förståelse för digitala bevis.
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Daniels, Jason M. "Forensic and Anti-Forensic Techniques for OLE2-Formatted Documents." DigitalCommons@USU, 2008. https://digitalcommons.usu.edu/etd/141.

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Common office documents provide significant opportunity for forensic and anti-forensic work. The Object Linking and Embedding 2 (OLE2) specification used primarily by Microsoft’s Office Suite contains unused or dead space regions that can be over written to hide covert channels of communication. This thesis describes a technique to detect those covert channels and also describes a different method of encoding that lowers the probability of detection. The algorithm developed, called OleDetection, is based on the use of kurtosis and byte frequency distribution statistics to accurately identify OLE2 documents with covert channels. OleDetection is able to correctly identify 99.97 percent of documents with covert channel and only a false positive rate 0.65 percent. The improved encoding scheme encodes the covert channel with patterns found in unmodified dead space regions. This anti-forensic technique allows the covert channel to masquerade as normal data, lowering the ability probability for any detection tool to is able to detect its presence.
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Books on the topic "Anti-computer forensics"

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Phishing Exposed. Syngress, 2005.

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Book chapters on the topic "Anti-computer forensics"

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Pajek, Przemyslaw, and Elias Pimenidis. "Computer Anti-forensics Methods and Their Impact on Computer Forensic Investigation." In Global Security, Safety, and Sustainability, 145–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04062-7_16.

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Bhardwaj, Dinesh, Chothmal Kumawat, and Vinod Pankajakshan. "A Method for Detecting JPEG Anti-forensics." In Communications in Computer and Information Science, 190–97. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0020-2_17.

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Ding, Ning, Dawu Gu, and Zhiqiang Liu. "Disguisable Symmetric Encryption Schemes for an Anti-forensics Purpose." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 241–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23602-0_23.

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Gupta, Deepak, and Babu M. Mehtre. "Mozilla Firefox Browsing Artifacts in 3 Different Anti-forensics Modes." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 247–51. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14289-0_17.

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Dahbur, Kamal, and Bassil Mohammad. "Toward Understanding the Challenges and Countermeasures in Computer Anti-Forensics." In Cloud Computing Advancements in Design, Implementation, and Technologies, 176–89. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-1879-4.ch013.

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The term computer anti-forensics (CAF) generally refers to a set of tactical and technical measures intended to circumvent the efforts and objectives of the field of computer and network forensics (CF). Many scientific techniques, procedures, and technological tools have evolved and effectively applied in the field of CF to assist scientists and investigators in acquiring and analyzing digital evidence for the purpose of solving cases that involve the use or misuse of computer systems. CAF has emerged as a CF counterpart that plants obstacles throughout the path of computer investigations. The purpose of this paper is to highlight the challenges introduced by anti-forensics, explore various CAF mechanisms, tools, and techniques, provide a coherent classification for them, and discuss their effectiveness. Moreover, the authors discuss the challenges in implementing effective countermeasures against these techniques. A set of recommendations are presented with future research opportunities.
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Shelke, Priya Makarand, and Rajesh Shardanand Prasad. "Tradeoffs Between Forensics and Anti-Forensics of Digital Images." In Computer Vision, 2124–38. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5204-8.ch093.

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Over past few years, we are the spectators of the evolution in the field of information technology, telecommunication and networking. Due to the advancement of smart phones, easy and inexpensive access to the internet and popularity of social networking, capture and use of digital images has increased drastically. Image processing techniques are getting developed at rapidly and at the same time easy to use image tampering soft-wares are also getting readily available. If tampered images are misused, big troubles having deep moral, ethical and lawful allegations may arise. Due to high potential of visual media and the ease in their capture, distribution and storage, we rarely find a field where digital visual data is not used. The value of image as evidence of event must be carefully assessed and it is a call for from different fields of applications. Therefore, in this age of fantasy, image authentication has become an issue of utmost importance.
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"Attack Graphs with Anti-Forensics Tool - in Forensics Examination." In International Conference on Computer Research and Development, 5th (ICCRD 2013), 137–42. ASME Press, 2013. http://dx.doi.org/10.1115/1.860182_ch23.

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Conference papers on the topic "Anti-computer forensics"

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Hausknecht, K., and S. Gruicic. "Anti-computer forensics." In 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2017. http://dx.doi.org/10.23919/mipro.2017.7973612.

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nLeng, Jing, and Tonghong Li. "Research on Computer System Information Hiding Anti-Forensic Technology." In 8th International Conference on Social Network, Communication and Education (SNCE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/snce-18.2018.12.

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