Blind Detection of Copy-Move Forgery in Digital Audio Forensics

Imran, Muhammad; Ali, Zulfiqar; Bakhsh, Sheikh Tahir; Akram, Sheeraz

doi:10.1109/access.2017.2717842

Cited by 58 publications

(28 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Barang bukti yang diajukan dipersidangan harus terjamin untuk mencegah gangguan bukti, khususnya barang bukti digital [5]. Demi memenuhi keuntungan beberapa orang dipengadilan rekaman percakapan dari barang bukti audio sering sekali dilakukan manipulasi atau pengeditan [6]. Dalam beberapa kasus, audio menjadi barang bukti yang sering menjadi perdebatan khususnya dalam mengukur dan mendeteksi keakuratan suara.…”

Section: Pendahuluanunclassified

Penggabungan Metode Itakura Saito Distance dan Backpropagation Neural Network untuk Peningkatan Akurasi Suara pada Audio Forensik

Wicaksono¹,

Adinandra

Prayudi

2020

Jurnal Informatika

View full text Add to dashboard Cite

Audio merupakan salah satu barang bukti digital yang digunakan dalam cybercrime. Seringkali bahwa bukti audio ini membawa peran krusial untuk mengungkapkan adanya kasus kejahatan sehingga diperlukan proses analisis audio forensic. Audio tersebut berisi rekaman suara seseorang yang memiliki karakter dengan pengucapan kosakata yang berbeda-beda, pengucapan yang tidak jelas, dan memiliki banyak noise. Perlu adanya penanganan yang sesuai Standart Operational Procedure (SOP) audio forensics. Tahapan dalam melakukan audio forensic pada Digital Forensic Analyst Team Pusat Laboratorium Forensik (DFAT) PUSLABFOR terdiri dari 4 tahapan yakni Acquisition, Audio Enhancement, Decoding, dan Voice Recognition. Dalam penelitian ini akan dibahas mengenai analisis audio menggunakan metode speech processing yaitu Itakura Saito Distance dan metode jaringan syaraf tiruan yaitu Backpropagation Neural Network dengan tujuan memperkuat hasil akurasi identik suatu barang bukti rekaman suara. Jika metode ini dikaloborasikan akan memperkuat tingkat akurasi dan argument yang diperoleh dari proses analisa, khususnya dalam penanganan audio forensic. Akurasi itu sendiri diukur dari nilai kedekatan frekuensi atau spectrum antara rekaman suara asli dengan rekaman suara pembanding. Hasil pengujian yang dilakukan pada 4 rekaman suara asli (unknown) dan 4 rekaman suara pembanding (known) dengan lebih dari 20 kosakata menunjukan akurasi tertinggi yang identik lebih dari 95%.

show abstract

Section: Pendahuluanunclassified

Penggabungan Metode Itakura Saito Distance dan Backpropagation Neural Network untuk Peningkatan Akurasi Suara pada Audio Forensik

Wicaksono¹,

Adinandra

Prayudi

2020

Jurnal Informatika

View full text Add to dashboard Cite

show abstract

“…Meanwhile, research [24] used a noise measuring method using the difference in the loudness and proposed an algorithm which enables a robot to estimate the location of the target. The mobile robot was able to generate the coordinates of a sound source with its sensor and estimated the approximate bearing of the source by finding the direction while distinguishing four experimental areas distinguished by using a sound source tracking device.…”

Section: Comparison With Other Systemmentioning

confidence: 99%

“…This method exhibited 3-10% higher accuracy than the existing Threshold-based method. There were many instances of performing performance evaluations in a limited environment in the existing research [24][25][26][27][28] as it estimated the direction by using specialized equipment such as microphone array, etc. However, such a method has a problem when applying it to an actual household, so that another method which can be conveniently used at home with the common smartphones is often used.…”

Section: Comparison With Other Systemmentioning

confidence: 99%

Digital Forensics System Using PLC for Inter-Floor Noise Measurement: Detailing PLC-Based Android Solution Replacing CCTV-based Solution

Choo

2019

Electronics

View full text Add to dashboard Cite

The neighborly dispute arising from the inter-floor noises has been increasing for the past two decades in Korean apartments or multi-unit houses sometimes leading to a serious consequence. Although there have been some attempts to resolve such a dispute, one of the underlying problems has to be solved first. That is, in addition to identifying the cause for the noise, it is necessary to prove who has actually suffered from the noise itself. Now that many of such a dispute is being settled at the civil court, producing objective evidence has become important. Therefore, digital forensics which is being widely used at the crime scenes by the police or other anti-crime organizations to collect evidences scientifically has begun to receive attention for the purpose of measuring noise levels. This technique has evolved in recent years following the rapid development in IT and ICT technologies but its problem is that such a technique has to be performed by the experts due to its complicated system so that those who need to measure the noise level usually outsource this work spending quite a sum. Thus, this study introduces a digital forensic system design which allows the user to effectively measure the inter-floor or neighborly noises directly and conveniently without much cost. The relevant system elements have been implemented with Java Android.

show abstract

“…Security related problems of wearable IoT devices have been investigated by comparing the production techniques of the manufacturers with respect to security and privacy [73]. An automatic authentication system for identifying and recognising the forgery is audio devices is performed in some devices [74,75].…”

Section: Related Workmentioning

confidence: 99%

Mélange of IoT and Ransomware

2019

IJITEE

View full text Add to dashboard Cite

The use of IoT devices are increasing rapidly. Since it integrates lots of devices, it provides lots of benefits to the users. Large companies also have started using it for coordination between the people and machines. However, Security is a major issue faced by IoT network. Trust is something that is necessary between the devices, which means that the data is transmitted without any tests to the trusted devices. IoT devices have very less security features since upgrades and patches are virtually non-existent. This makes it vulnerable to various attacks like Ransomware. Hackers will simply be able to take control of an IoT device and demand ransom for letting it go. This may get problematic especially in household devices. It is necessary to identify a solution for this this since IoT is still in the budding stage. Hence this work will analyse various available attacks in IoT and provide solutions to combat the ransomware.

show abstract

Blind Detection of Copy-Move Forgery in Digital Audio Forensics

Cited by 58 publications

References 25 publications

Penggabungan Metode Itakura Saito Distance dan Backpropagation Neural Network untuk Peningkatan Akurasi Suara pada Audio Forensik

Penggabungan Metode Itakura Saito Distance dan Backpropagation Neural Network untuk Peningkatan Akurasi Suara pada Audio Forensik

Digital Forensics System Using PLC for Inter-Floor Noise Measurement: Detailing PLC-Based Android Solution Replacing CCTV-based Solution

Mélange of IoT and Ransomware

Contact Info

Product

Resources

About