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Journal articles on the topic 'Digital techniques'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Indra R Yoganapriya, P. "Pre-Processing Techniques for Digital Mammograms." International Journal of Science and Research (IJSR) 12, no. 2 (February 5, 2023): 647–51. http://dx.doi.org/10.21275/sr23206162028.

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2

Chahal, Prabhjot Kaur, Amritpal Singh, and Palwinder Singh. "Digital Watermarking Techniques." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 8 (November 27, 2013): 2903–9. http://dx.doi.org/10.24297/ijct.v11i8.3009.

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More the development of the multimedia, more the digitalization, the more is the access to internet. This fast rate of enhancement gives a sense of protection and authentication.Â Digital watermarking technology provides a strong solution to insecurity created by digitalization. In this paper, our focus is on the basic concepts of watermarking, their characterisation, their techniques. Extending more, we will elaborate one of the latest technique of watermarking named as â€œDiscrete Cosine Transformâ€ (DCT).

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3

Rajagopalan, S. K. "Digital Transmission Techniques." IETE Journal of Education 33, no. 1 (January 1992): 3–11. http://dx.doi.org/10.1080/09747338.1992.11436349.

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4

Challener, P. "Digital logic techniques." Microprocessors and Microsystems 9, no. 1 (January 1985): 34–35. http://dx.doi.org/10.1016/0141-9331(85)90222-4.

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5

Babatunde, R. S. "A Techniques for Face Recognition Systems." Advances in Multidisciplinary & Scientific Research Journal Publications 5, no. 1 (March 30, 2017): 95–108. http://dx.doi.org/10.22624/aims/digital/v5n1p20x.

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In this research, a comparison of the various techniques used for face recognition is shown in tabular format to give a precise overview of what different authors have already projected in this particular field. A systematic review of 40 journal articles pertaining to feature dimensionality reduction was carried out. The articles were reviewed to appraise the methodology and to identify the key parameters that were used for testing and evaluation. The dates of publication of the articles were between 2007 and 2015. Ten percent (10%) of the articles reported the training time for their system while twenty four percent (24%) reported their testing time. Sixty seven percent (67%) of the reviewed articles reported the image dimension used in the research. Also, only fourty eight percent (48%) of the reviewed articles compared their result with other existing methods. The main emphasis of this survey is to identify the major trade-offs of parameters and (or) metrics for evaluating the performance of the techniques employed in dimensionality reduction by existing face recognition systems. Findings from the review carried out showed that major performance metrics reported by vast amount of researchers in this review is recognition accuracy in which eighty six percent (86%) of the authors reported in their experiment. Keywords: Optimal Subset, High Dimension, Face Recognition, Biometrics, Feature Vector

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6

Kumar Saini, Mukesh, Arun Saini, and Sachin Gupta. "Digital Image Processing Techniques for Leukemia Detection." International Journal of Science and Research (IJSR) 13, no. 6 (June 5, 2024): 1710–19. http://dx.doi.org/10.21275/sr24627090927.

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7

Vatsenko, A. "Digital Forensics Techniques Overview." Bulletin of Science and Practice 6, no. 6 (June 15, 2020): 167–74. http://dx.doi.org/10.33619/2414-2948/55/21.

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This article discusses the important issue of the use of forensic technology in computer forensics. The basic techniques of computer forensics existing today, such as real-time tracking, sandboxing, data and password recovery, and so on, are examined. The advantages and disadvantages of existing methods are given and recommendations are made on the development of computer forensics techniques in the future. Conclusions are drawn up on the problem of using forensic technology in computer forensics.

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8

Dube, Avinash. "DIGITAL TECHNIQUES AND ART." International Journal of Research -GRANTHAALAYAH 7, no. 11 (November 30, 2019): 89–91. http://dx.doi.org/10.29121/granthaalayah.v7.i11.2019.3706.

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Modern age is a digital age. Digitalization is improving the things in all sectors. In electronics digital instruments are replacing conventional analog instruments giving precession and accuracy. Teaching learning methods are greatly improved due to incorporation of digital technology. Life style of common people is also changing due to digital tranjections, online shopping, online banking etc. The field of art and painting is also influenced by digital techniques available now a day. With emergence of new tools and techniques the art of painting is gaining new shapes. Digital technical skills provide a wide platform for imagination of artists. There are pros and cons of each aspects but it is true that art always connect students with their own culture as well as with the wider world. Visual art always improve learners critical thinking.

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9

Jaiswal, Abhilasha. "DIGITAL TECHNIQUES OF PAINTING." International Journal of Research -GRANTHAALAYAH 7, no. 11 (November 30, 2019): 150–53. http://dx.doi.org/10.29121/granthaalayah.v7.i11.2019.3727.

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As technology is evolving gradually from the ages, the human way of living and different types of arts have also influenced. In these days the old energy consuming process has got extent and a creative fusion of the two worlds of art and technology is prevailing. Inspiringly, the background medium of this force which is fast developing into an indispensable asset is the digital age of computer. It’s effect on the human life can be said to have secured unusual style in past 20th century, where the computer as a machine which uses codes and binary digits computerized to keep and achieve facts provided, were used in various ways to process easier the functions of particular absolutely necessary machines in human attempts to achieve a goal, until then it was done manually or by some other means.

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10

Abdul Majeed Haleem, Alyaa, and Nadia Mohammed. "Digital Information Hiding Techniques." AL-Rafidain Journal of Computer Sciences and Mathematics 7, no. 3 (December 30, 2010): 109–20. http://dx.doi.org/10.33899/csmj.2010.163916.

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11

NAKAMURA, YUTAKA. "RADIONUCLIDE DIGITAL IMAGING TECHNIQUES." Japanese Journal of Radiological Technology 45, no. 11 (1989): 1780–84. http://dx.doi.org/10.6009/jjrt.kj00001359090.

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12

Sundareshan, B. "Digital Modulation—Baseband Techniques." IETE Journal of Education 33, no. 1 (January 1992): 35–44. http://dx.doi.org/10.1080/09747338.1992.11436355.

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13

Bhatnagar, R. C., and B. Sundareshan. "Digital Modulation—Bandpass Techniques." IETE Journal of Education 33, no. 1 (January 1992): 45–56. http://dx.doi.org/10.1080/09747338.1992.11436356.

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14

Monaghan, Mark J. "Digital techniques in echocardiography." International Journal of Cardiology 22, no. 2 (February 1989): 275–76. http://dx.doi.org/10.1016/0167-5273(89)90082-x.

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15

., Gomathi K. V. "DIGITAL IMAGE COMPRESSION TECHNIQUES." International Journal of Research in Engineering and Technology 03, no. 10 (October 25, 2014): 285–90. http://dx.doi.org/10.15623/ijret.2014.0310044.

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16

Vaman, D. R., C. V. Chakravarthy, and Ioannis S. Dedes. "Digital Speech Interpolation Techniques." IETE Journal of Research 36, no. 5-6 (September 1990): 337–44. http://dx.doi.org/10.1080/03772063.1990.11436904.

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17

Zou, W. Y. "Digital HDTV compression techniques." IEEE Transactions on Broadcasting 37, no. 4 (1991): 131–33. http://dx.doi.org/10.1109/11.106198.

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18

McNeil, A. J. S., and P. J. Mitchell. "Digital techniques in electrochemistry." Surface Technology 25, no. 3 (July 1985): 195–215. http://dx.doi.org/10.1016/0376-4583(85)90136-0.

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19

Adedibu, O., and M. E. Adeshipo. "A Review of Anomaly Detection Techniques for Intrusion Detection." Advances in Multidisciplinary & Scientific Research Journal Publication 6, no. 4 (December 31, 2018): 1–10. http://dx.doi.org/10.22624/aims/digital/v6n4p1.

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20

Zhang, J. F. "VLSI Testing: Digital and Mixed Analogue/Digital Techniques." Measurement Science and Technology 10, no. 12 (December 1, 1999): 1357. http://dx.doi.org/10.1088/0957-0233/10/12/502.

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21

Dan, Man Kan, and Dr T. Meyappan. "WATERMARKING TECHNIQUES." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 3 (June 30, 2012): 122–24. http://dx.doi.org/10.24297/ijct.v2i3c.2709.

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Embedding a hidden stream of bits in a file is called Digital watermarking. The file could be an image, audio, video or text. Nowadays, a digital watermarking has many applications such as broadcast monitoring, owner identification, proof of ownership, transaction tracking, content authentication, copy control, device control and file reconstruction. It is intended to complement cryptographic processes. It is a visible or preferably invisible, identification code that is permanently embedded in the data and remains present within the data after any decryption process. The focus of this paper will detail digital watermarking for multimedia applications and covered by definition of digital watermarking, purpose, techniques and types of watermarking attacks briefly discussed.

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22

Joshua, Wemegah. "A Review of Various Data Security Techniques in Wireless Communication Systems." Advances in Multidisciplinary and scientific Research Journal Publication 10 (November 30, 2022): 15–24. http://dx.doi.org/10.22624/aims/digital/v10n4p3.

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Sensitive data is constantly being transmitted particularly over wireless communication systems due to how convenient this wireless communication systems are. However, these communication systems are generally weak in terms of privacy protection and security as a whole. This is because anyone within the perimeter of a wireless network can attempt hacking into the network without physically connecting to it. This paper will focus on the two most common data security techniques in wireless communication systems – steganography and cryptography. Steganography is the practice of hiding information in another message or physical item such that its presence cannot be detected by human examination. Cryptography on the other hand is the science of encrypting information in a way that unintended recipients cannot interpret and then decrypting the said message back into plaintext. Keywords: Cryptography, Data Encryption, Data Decryption, Steganography, Wireless Communication

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23

Anosike, Joseph Ugonna, and Uchenna Petronilla Ogoke. "A Comparative Analysis on the Model Adequacy of Four Transformation Techniques." Advances in Multidisciplinary and scientific Research Journal Publication 10, no. 3 (September 30, 2022): 137–47. http://dx.doi.org/10.22624/aims/digital/v10n1p10x.

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ABSTRACT This study compared four different transformation techniques by applying a simple linear regression on raw and transformed data. The R2 of each model was obtained and a test on the significance of these R2 was carried out. Also, the rxy(coefficient of correlation) were also obtained. The data used is a secondary data consisting of 53years (1964-2016) of the infant mortality rate in Nigeria (https://www.ceicdata.com/en/nigeria/health-statistics/ng-mortality-rate-infant-per-1000-live-births). The rxy were also compared and the results, 95.8%, 95.8%, 96.2%, 93.0%, and 92.9% respectively. The R2 obtained for the raw data, logarithm, square-root, square and inverse are as follows: 91.8%, 91.7%, 92.5%, 86.6% and 86.4% respectively. However, the R2 obtained for the raw data, logarithm, square-root, square and inverse compete favourably but the performance of inverse transformation suits the data most in terms of model accuracy. Key Words: Transformation, Raw data, logarithm, square-root, square, inverse

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24

Ugonna, Anosike Joseph, and Uchenna Petronilla Ogoke. "A Comparative Analysis on the Model Adequacy of Four Transformation Techniques." Advances in Multidisciplinary and scientific Research Journal Publication 10 (September 30, 2022): 137–47. http://dx.doi.org/10.22624/aims/digital/v10n1p9.

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This study compared four different transformation techniques by applying a simple linear regression on raw and transformed data. The R2 of each model was obtained and a test on the significance of these R2 was carried out. Also, the rxy(coefficient of correlation) were also obtained. The data used is a secondary data consisting of 53years (1964-2016) of the infant mortality rate in Nigeria (https://www.ceicdata.com/en/nigeria/health-statistics/ng-mortality-rate-infant-per-1000-live-births). The rxy were also compared and the results, 95.8%, 95.8%, 96.2%, 93.0%, and 92.9% respectively. The R2 obtained for the raw data, logarithm, square-root, square and inverse are as follows: 91.8%, 91.7%, 92.5%, 86.6% and 86.4% respectively. However, the R2 obtained for the raw data, logarithm, square-root, square and inverse compete favourably but the performance of inverse transformation suits the data most in terms of model accuracy. Key Words: Transformation, Raw data, logarithm, square-root, square, inverse A Comparative Analysis on the Model Adequacy of Four Transformation Techniques

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25

Vijaya, C. "Digital Modulation & Detection Techniques Using FRFT Basis Functions." Bonfring International Journal of Research in Communication Engineering 6, Special Issue (November 30, 2016): 44–47. http://dx.doi.org/10.9756/bijrce.8198.

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26

Kulkarni, Pooja, Shraddha Bhise, and Sadhana Khot. "Review of Digital Watermarking Techniques." International Journal of Computer Applications 109, no. 16 (January 16, 2015): 40–44. http://dx.doi.org/10.5120/19275-1029.

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27

Karavasilev, Tony. "Securing Sensitive Digital Data Techniques." IOSR Journal of Computer Engineering 19, no. 03 (June 2017): 53–66. http://dx.doi.org/10.9790/0661-1903055366.

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28

Will, Rachel L. "Digital Techniques in Historic Preservation." Technology|Architecture + Design 6, no. 1 (January 2, 2022): 15–20. http://dx.doi.org/10.1080/24751448.2022.2040298.

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29

Gohokar, V. V. "Simulation of Digital Modulation Techniques." IETE Journal of Education 53, no. 1 (January 2012): 5–8. http://dx.doi.org/10.1080/09747338.2012.10876089.

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30

Bobinsky, E. "Digital modulation techniques [Book Review]." IEEE Communications Magazine 39, no. 6 (June 2001): 24–28. http://dx.doi.org/10.1109/mcom.2001.925668.

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31

Shukla, Deepti, and Nirupama Tiwari. "Survey on Digital Watermarking Techniques." International Journal of Signal Processing, Image Processing and Pattern Recognition 8, no. 9 (September 30, 2015): 121–26. http://dx.doi.org/10.14257/ijsip.2015.8.9.12.

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32

Shukla, Deepti, Nirupama Tiwari, and Deepika Dubey. "Surevey on Digital Watermarking Techniques." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 1 (January 31, 2016): 239–44. http://dx.doi.org/10.14257/ijsip.2016.9.1.23.

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33

Thompson, David L. "An Introduction to Digital Techniques." Electronic Systems News 1986, no. 3 (1986): 34. http://dx.doi.org/10.1049/esn.1986.0083.

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34

Hartmann, H., and E. Steiner. "Synchronization Techniques for Digital Networks." IEEE Journal on Selected Areas in Communications 4, no. 4 (July 1986): 506–13. http://dx.doi.org/10.1109/jsac.1986.1146360.

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35

Rossing, Thomas D. "Digital techniques for sound recording." Physics Teacher 32, no. 8 (November 1994): 458–64. http://dx.doi.org/10.1119/1.2344080.

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36

Gammon, LM. "Macro Techniques and Digital-Microscopy." Microscopy and Microanalysis 12, S02 (July 31, 2006): 1682–83. http://dx.doi.org/10.1017/s1431927606061332.

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37

Hurst, S. L., D. M. Miller, and J. C. Muzio. "Spectral techniques in digital logic." Signal Processing 9, no. 2 (September 1985): 138. http://dx.doi.org/10.1016/0165-1684(85)90052-0.

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38

Moon, Jared L., Carl A. Kihm, Daniel A. Perez, Leslie B. Dowling, and David C. Alder. "Digital Arthrodesis: Current Fixation Techniques." Clinics in Podiatric Medicine and Surgery 28, no. 4 (October 2011): 769–83. http://dx.doi.org/10.1016/j.cpm.2011.07.003.

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39

D’Angelantonio, Albert M., Kaitlin A. Nelson-Rinaldi, Jade Barnard, and Frank Oware. "Master Techniques in Digital Arthrodesis." Clinics in Podiatric Medicine and Surgery 29, no. 1 (January 2012): 21–40. http://dx.doi.org/10.1016/j.cpm.2011.10.002.

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40

Alina, Ziv, and Ofer Amrani. "On Digital Post-Distortion Techniques." IEEE Transactions on Signal Processing 64, no. 3 (February 2016): 603–14. http://dx.doi.org/10.1109/tsp.2015.2477806.

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41

Kim, Myung K., Lingfeng Yu, and Christopher J. Mann. "Interference techniques in digital holography." Journal of Optics A: Pure and Applied Optics 8, no. 7 (June 8, 2006): S518—S523. http://dx.doi.org/10.1088/1464-4258/8/7/s33.

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42

Stone, Jenny L., Robert L. Peterson, and John E. Wolf. "Digital imaging techniques in dermatology." Journal of the American Academy of Dermatology 23, no. 5 (November 1990): 913–17. http://dx.doi.org/10.1016/0190-9622(90)70314-8.

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43

Kawai, Naoki. "Fundamental Techniques for Digital TV Broadcasting; (11). Multiplex and Transmission Techniques for Digital Broadcasting." Journal of the Institute of Television Engineers of Japan 48, no. 11 (1994): 1447–53. http://dx.doi.org/10.3169/itej1978.48.1447.

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44

Babatunde, R. S. "A Systematic Review of Feature Dimensionality Reduction Techniques for Face Recognition Systems." Advances in Multidisciplinary & Scientific Research Journal Publications 5, no. 1 (March 30, 2017): 95–108. http://dx.doi.org/10.22624/aims/digital/v5n1p20.

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In this research, a comparison of the various techniques used for face recognition is shown in tabular format to give a precise overview of what different authors have already projected in this particular field. A systematic review of 40 journal articles pertaining to feature dimensionality reduction was carried out. The articles were reviewed to appraise the methodology and to identify the key parameters that were used for testing and evaluation. The dates of publication of the articles were between 2007 and 2015. Ten percent (10%) of the articles reported the training time for their system while twenty four percent (24%) reported their testing time. Sixty seven percent (67%) of the reviewed articles reported the image dimension used in the research. Also, only fourty eight percent (48%) of the reviewed articles compared their result with other existing methods. The main emphasis of this survey is to identify the major trade-offs of parameters and (or) metrics for evaluating the performance of the techniques employed in dimensionality reduction by existing face recognition systems. Findings from the review carried out showed that major performance metrics reported by vast amount of researchers in this review is recognition accuracy in which eighty six percent (86%) of the authors reported in their experiment. Keywords: Optimal Subset, High Dimension, Face Recognition, Biometrics, Feature Vector

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45

Li, Yue. "A Survey of Digital Forensic Techniques for Digital Libraries." International Journal of Digital Library Systems 2, no. 3 (2011): 49–66. http://dx.doi.org/10.4018/jdls.2011070106.

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46

Van Roekel, James L. "Digital creativity: Techniques for digital media and the Internet." Journal of the American Society for Information Science and Technology 54, no. 4 (2003): 357–58. http://dx.doi.org/10.1002/asi.10205.

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47

Khairunnisak, Khairunnisak, and Wahyu Widodo. "Digital Forensic Tools And Techniques For Handling Digital Evidence." Jurnal RESISTOR (Rekayasa Sistem Komputer) 6, no. 1 (April 30, 2023): 1–11. http://dx.doi.org/10.31598/jurnalresistor.v6i1.1266.

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The development of information security issues in many sectors makes the skill of mastering digital forensic highly needed. Digital forensic is recently used not only to support legal proceedings but also to investigate many incidents like digital data manipulation, site hacking, and terrorism. In mastering the skill of digital forensic, investigators should have knowledge about the techniques and tools that will be used. This research is proposed to help investigators in enhancing and developing their skills in revealing the content of digital evidence with the result reviews from each area in the forensic field. The review in this study is based on the focus of the forensic area by giving detailed information about the functions, limitations, and advantages as well as the specific techniques of forensics that leads to the techniques of live forensic or static forensic. This research also discusses the non-technical things that affect the performance of forensic investigation including operational activities, investigated activities, and legal elements. Thus, the result of this research is expected to be beneficial for helping investigators in determining the appropriate tools to investigate the digital evidence. The further research can develop the activities of anti-forensics that can hinder the investigation processes.

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48

Rhisheekesan, Abhishek, Dennis Thomas, Vaishnav Raj K, Gadha T, Pradeep A. V, Jijo Pulickiyil Ulahannan, and Sajeev Damodarakurup. "Review on digital holography techniques using digital micromirror device." Optics and Lasers in Engineering 177 (June 2024): 108120. http://dx.doi.org/10.1016/j.optlaseng.2024.108120.

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49

Jimoh, Hammed O., and Mubarak O. Ahmed. "Analyzing Network Time Protocol (NTP) Based Amplification DDoS Attack and its Mitigation Techniques." Advances in Multidisciplinary & Scientific Research Journal Publications 12, no. 2 (May 2024): 17–24. http://dx.doi.org/10.22624/aims/digital/v11n2p2x.

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Network Time Protocol amplification attack is a form of distributed denial-of-service (DDoS) attack in which an attacker exploits or sends a request to a vulnerable NTP server by using their IP address to flood a targeted network or server with an overwhelming volume of User Datagram Protocol (UDP) traffic. In the past, the techniques that involved reflecting traffic off NTP servers to the victim, with the attacker hiding their identity by spoofing the source IP address were carried out using mainly Domain Name Server (DNS) servers but the use of vulnerable NTP servers as reflectors in DDoS attacks has gain lot of popularity since 2014, and this is as a result of the realization of high amplification scale that NTP servers can provide. This type of reflector attack maximized the use of the amplification factor of NTP servers to magnify the attack bandwidth, making it particularly disruptive and difficult to mitigate. Since NTP amplification is not a popularly known attack and there has not been much thorough research on it, this paper explores a holistic overview of NTP amplification attacks, how NTP is used for DDoS attacks, and the overall method that can be used to mitigate such attacks. Keywords: Distributed Denial-of-Service (DDoS) attack, DNS servers, NTP servers

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50

Jimoh, Hammed O., and Mubarak O. Ahmed. "Analyzing Network Time Protocol (NTP) Based Amplification DDoS Attack and its Mitigation Techniques." Advances in Multidisciplinary & Scientific Research Journal Publications 12, no. 2 (May 2024): 17–36. http://dx.doi.org/10.22624/aims/digital/v11n2p2.

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Network Time Protocol amplification attack is a form of distributed denial-of-service (DDoS) attack in which an attacker exploits or sends a request to a vulnerable NTP server by using their IP address to flood a targeted network or server with an overwhelming volume of User Datagram Protocol (UDP) traffic. In the past, the techniques that involved reflecting traffic off NTP servers to the victim, with the attacker hiding their identity by spoofing the source IP address were carried out using mainly Domain Name Server (DNS) servers but the use of vulnerable NTP servers as reflectors in DDoS attacks has gain lot of popularity since 2014, and this is as a result of the realization of high amplification scale that NTP servers can provide. This type of reflector attack maximized the use of the amplification factor of NTP servers to magnify the attack bandwidth, making it particularly disruptive and difficult to mitigate. Since NTP amplification is not a popularly known attack and there has not been much thorough research on it, this paper explores a holistic overview of NTP amplification attacks, how NTP is used for DDoS attacks, and the overall method that can be used to mitigate such attacks. Keywords: Distributed Denial-of-Service (DDoS) attack, DNS servers, NTP servers

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