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A bibliometric study of image steganalysis
Saurabh Agarwal(사우랍 아가왈),Ki-Hyun Jung(정기현) 대한전자공학회 2021 대한전자공학회 학술대회 Vol.2021 No.6
Image steganography is performed to hide secret information into the image. Image steganalysis is applied to detect steganography. In this paper, a bibliometric study is carried out for image steganalysis from 2002 to 2020. A web of science database is used for bibliometric study. Image steganalysis articles are available in science citation index expanded, social sciences citation index, and emerging sources citation index on the web of science, where image steganalysis and image steganography analysis keywords are used.
A Short Bibliometric Analysis of Image Forgery and Forensics
Saurabh Agarwal(아가왈 사우랍),Ki-Hyun Jung(정기현) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
Social networking services frequently allow users to share digital images. With todays technology, altering an image is not difficult, and occasionally, malicious intention is used to accomplish these modifications. Deep fake images and videos are also generated using a generative adversarial network. Image forensics is applied to detect image forgery, image manipulations, and deep fake images. In this paper, a bibliometric study is carried out from the year 2005 to August 2022. The bibliometric analysis makes use of the Web of Science database. The ((digital) AND (image AND (forensic OR forgery OR manipulation)) OR (deep fake)) query is used for the bibliometric study. Articles on these keywords are found on the Web of Sciences science citation index expanded, conference proceeding citation index-science, the social sciences citation index, and the emerging sources citation index.
Forgery Detection Scheme Using Enhanced Markov Model and LBP Texture Operator in Low Quality Images
Saurabh Agarwal(아가왈 사우랍),Ki-Hyun Jung(정기현) 한국정보보호학회 2021 정보보호학회논문지 Vol.31 No.6
본 논문에서는 저품질 이미지에 적용된 미디언 필터링를 검출하는 기법을 제안하고자 한다. 이러한 미디언 필터링 검출은 이미지 포렌식 기법에 사용되고 있는 것으로 제안된 방법에서는 원본 이미지와 미디언 필터링된 이미지를 구분하기 위하여 공간 영역에서 통계적 특징 정보를 추출하고 확장시킨다. 확장된 특징 정보는 마르코프 모델을 사용하고 강인한 특징 집합을 생성하기 위하여 다중 방향 배열을 사용한다. 제안된 방법에서는 검출 정확도를 높이기 위하여 텍스처 연산자를 사용하고 SVM 분류기를 통하여 분류 모델을 훈련시킨다. 실험 결과에서는 JPEG 압축을 사용한 저품질 이미지에서 제안한 방법의 우수함을 보인다. Image forensic is performed to check image limpidness. In this paper, a robust scheme is discussed to detect median filtering in low quality images. Detection of median filtering assists in overall image forensic. Improved spatial statistical features are extracted from the image to classify pristine and median filtered images. Image array data is rescaled to enhance the spatial statistical information. Features are extracted using Markov model on enhanced spatial statistics. Multiple difference arrays are considered in different directions for robust feature set. Further, texture operator features are combined to increase the detection accuracy and SVM binary classifier is applied to train the classification model. Experimental results are promising for images of low quality JPEG compression.
Digital Image Forensics Using Hybrid Feature Set
Saurabh Agarwal(사우랍 아가왈),Ki-Hyun Jung(정기현) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8
Digital images are suitable representation of information since one image can depict lots of information. The changes in the image can be done easily with advance technology, sometimes these changes are performed with malicious purpose. In this paper, a robust technique for median filtering detection is proposed. The co—occurrences of difference pairs are calculated in spatial and frequency domain. The performance is evaluated on three diverse databases. The SVM classifier with linear kernel is utilized to classify non—filtered and median filtered images. The experimental analysis is performed to show the proposed method is better with various environment.
Pi-Calculus Based Formal Verification of Web Services Composition
Saurabh Agarwal,Koshel Agarwal 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.5
One of the advantages of web services is development of the software through composition of web services, which use existing web services as a component to create software on demand, for composition to be useful and valid in development of the software, web services composition need to be validated for correctness. In this paper, we have formally represented web services using Pi-Calculus. It is a kind of process algebra which can be used to model dynamic concurrent systems and behavior of web services composition is very close to it. For verification the tool MWB (Mobility Workbench) has been used.
( Ashish Agarwal ),( Saurabh Kedia ),( Saransh Jain ),( Vipin Gupta ),( Sawan Bopanna ),( Dawesh P Yadav ),( Sandeep Goyal ),( Venigalla Pratap Mouli ),( Rajan Dhingra ),( Govind Makharia ),( Vineet A 대한장연구학회 2018 Intestinal Research Vol.16 No.4
Background/Aims: The data on the risk of tuberculosis (TB) reactivation with infliximab (IFX) in patients with inflammatory bowel disease (IBD) from TB endemic countries, like India, is limited. The risk of TB reactivation on IFX and its predictors in patients with IBD was assessed. Methods: This retrospective review included consecutive patients with IBD who received IFX, and were on follow-up from January 2005 to November 2017. The data was recorded on age/disease duration, indications for IFX, screening for latent tuberculosis (LTB) before IFX, response to IFX, incidence and duration when TB developed after IFX, and type of TB (pulmonary [PTB]/extra-pulmonary [EPTB]/disseminated). Results: Of 69 patients (22 ulcerative colitis/47 Crohn’s disease; mean age, 35.6±14.5 years; 50.7% males; median follow-up duration after IFX, 19 months [interquartile range, 5.5-48.7 months]), primary non-response at 8 weeks and secondary loss of response at 26 and 52 weeks were seen in 14.5%, 6% and 15% patients respectively. Prior to IFX, all patients were screened for LTB, 8 (11.6%) developed active TB (disseminated, 62.5%; EPTB, 25%; PTB, 12.5%) after a median of 19 weeks (interquartile range, 14.0-84.5 weeks) of IFX. Of these 8 patients’ none had LTB, even when 7 of 8 were additionally screened with contrast-enhanced chest tomography. Though not statistically significant, more patients with Crohn’s disease than ulcerative colitis (14.9% vs. 4.5%, P=0.21), and those with past history of TB (25% vs. 9.8%, P=0.21), developed TB. Age, gender, disease duration, or extraintestinal manifestations could not predict TB reactivation. Conclusions: There is an extremely high rate of TB with IFX in Indian patients with IBD. Current screening techniques are ineffective and it is difficult to predict TB after IFX. (Intest Res 2018;16:588-598)
( Sanchit Sharma ),( Arti Gupta ),( Saurabh Kedia ),( Samagra Agarwal ),( Namrata Singh ),( Sandeep Goyal ),( Saransh Jain ),( Vipin Gupta ),( Pabitra Sahu ),( Sudheer Kumar Vuyyuru ),( Bhaskar Kante 대한장연구학회 2021 Intestinal Research Vol.19 No.3
Background/Aims: Exclusive enteral nutrition (EEN), an established modality for pediatric Crohn’s disease (CD) is seldomly utilized in adults. The present study reports the outcome of EEN in adult CD patients at a tertiary care hospital in India. Methods: This was a retrospective analysis of CD patients who received EEN as a sole modality/adjunct to other treatment. The primary and secondary outcomes changed in Crohn’s Disease Activity Index (CDAI), and clinical response (decline in CDAI >70), respectively, at 4 and 8 weeks. Subgroup analysis evaluated response across different phenotypes, EEN formulations and prior treatment. Linear mixed effect model was created to assess the predictors of EEN response. Results: Thirty-one CD patients received EEN over median duration of 4 weeks (range, 2-6 weeks). CDAI showed a significant improvement post EEN at 4 (baseline 290 [260-320] vs. 240 [180-280], P=0.001) and 8 weeks (baseline 290 [260-320] vs. 186 [160-240], P=0.001), respectively. The cumulative clinical response rates at 4 and 8 weeks were 37.3% and 80.4% respectively. The clinical response rates at 8 weeks across B1 (n=4), B2 (n=18), and B3 (n=9) phenotypes were 50%, 78.8%, and 100% respectively (log-rank test, P=0.093). The response rates at 8 weeks with polymeric (n=8) and semi-elemental diet (n=23) were 75% and 82.6% respectively (log-rank test, P=0.49). Baseline CDAI (odds ratio, 1.008; 95% confidence interval, 1.002-1.017; P=0.046) predicted response to EEN. Conclusions: EEN was effective in inducing clinical response across different phenotypes of CD. Baseline disease activity remained the most important predictor of clinical response to EEN. (Intest Res 2021;19:291-300)