Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514228
N. Bilandi, H. Verma, N. Kumar
An ad hoc network is a dynamic topology network having no centralized control or base station. In such a network, routing is a challenging task due to frequently changes in network topology and resource constraints. Many routing protocols have been proposed to overcome various challenges of routing in ad hoc networks. Each routing protocol has some advantages and disadvantages in various situations. So, it is difficult for a group of user's to choose a particular routing protocol for a particular requirement. In this performance analysis paper, we compare six existing well known routing protocols based on user's point of view. The protocols are AODV, DSR, LAR, OLSR, STAR and ZRP. This paper, presents its usefulness by providing comparative analysis of the protocols with the important routing parameters. The parameters are packet delivery ratio, throughput, end-to-end delay, battery power consumption, average hop count for a connection, packet drop due to retransmission limit and average jitter for received packets. We analyze the protocols in a most realistic ad hoc network scenario using simulation. Comparative study of the protocols using the routing parameters is useful to make a decision about a protocol by an analyzer or user that, which protocol is suitable for particular requirements.
{"title":"Comparative analysis of ad hoc routing protocols based on user's point of view","authors":"N. Bilandi, H. Verma, N. Kumar","doi":"10.1109/IADCC.2013.6514228","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514228","url":null,"abstract":"An ad hoc network is a dynamic topology network having no centralized control or base station. In such a network, routing is a challenging task due to frequently changes in network topology and resource constraints. Many routing protocols have been proposed to overcome various challenges of routing in ad hoc networks. Each routing protocol has some advantages and disadvantages in various situations. So, it is difficult for a group of user's to choose a particular routing protocol for a particular requirement. In this performance analysis paper, we compare six existing well known routing protocols based on user's point of view. The protocols are AODV, DSR, LAR, OLSR, STAR and ZRP. This paper, presents its usefulness by providing comparative analysis of the protocols with the important routing parameters. The parameters are packet delivery ratio, throughput, end-to-end delay, battery power consumption, average hop count for a connection, packet drop due to retransmission limit and average jitter for received packets. We analyze the protocols in a most realistic ad hoc network scenario using simulation. Comparative study of the protocols using the routing parameters is useful to make a decision about a protocol by an analyzer or user that, which protocol is suitable for particular requirements.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128434201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514218
Komal Barhate, C. Jaidhar
In today's technology, new attacks are emerging day by day which makes the systems insecure even the system wrapped with number of security measures. Intrusion Detection System (IDS) is used to detect the intrusion. Its prime function is to detect the intrusion and respond in timely manner. In other words, IDS function is limited to detection as well as response. The IDS is unable to capture the state of the system when an intrusion is detected. Hence, it fails to preserve the evidences against the attack in original form. To maintain the completeness and reliability of evidence for later examination, new security strategy is very much needed. In this research work, automated Digital Forensic Technique with Intrusion Detection System is proposed. Once an IDS detects an intrusion, it sends an alert message to administrator followed by invoke the digital forensic tool to capture the state of the system. Captured image can be used as evidence in the court of law to prove the damage.
{"title":"Automated digital forensic technique with intrusion detection systems","authors":"Komal Barhate, C. Jaidhar","doi":"10.1109/IADCC.2013.6514218","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514218","url":null,"abstract":"In today's technology, new attacks are emerging day by day which makes the systems insecure even the system wrapped with number of security measures. Intrusion Detection System (IDS) is used to detect the intrusion. Its prime function is to detect the intrusion and respond in timely manner. In other words, IDS function is limited to detection as well as response. The IDS is unable to capture the state of the system when an intrusion is detected. Hence, it fails to preserve the evidences against the attack in original form. To maintain the completeness and reliability of evidence for later examination, new security strategy is very much needed. In this research work, automated Digital Forensic Technique with Intrusion Detection System is proposed. Once an IDS detects an intrusion, it sends an alert message to administrator followed by invoke the digital forensic tool to capture the state of the system. Captured image can be used as evidence in the court of law to prove the damage.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130206803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514449
S. Pandit, Ghanshyam Singh
Due to the fixed spectrum allocation policy, bandwidth has become one of the scarcest resources for the wireless communications. Therefore, various advanced application, which is very useful in the development of communication system, cannot be used. Currently, the wireless network systems suffer from insufficient bandwidth utilization. However, the licensed users or primary users (PUs) do not use their spectrum all the time. So, to enhance the efficiency of bandwidth usage, the concept of Cognitive Radio (CR) also called secondary user (SU) has emerged as a new design paradigm. By detecting the spectrum holes in PU band as long as they cause no intolerable interference to licensed users, we can make a new dynamic bandwidth sharing strategy between primary and secondary users based on the economic factors, so that the bandwidth utilization and users satisfaction can be enhanced dramatically. We have proposed a simulation model, which allocates free bandwidth of PUs to SUs with an aim to minimize overall bandwidth allocation cost. To share the bandwidth of the primary user with secondary user's, we have developed an algorithm to minimize the cost of the bandwidth.
{"title":"Spectrum sharing in Cognitive Radio using game theory","authors":"S. Pandit, Ghanshyam Singh","doi":"10.1109/IADCC.2013.6514449","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514449","url":null,"abstract":"Due to the fixed spectrum allocation policy, bandwidth has become one of the scarcest resources for the wireless communications. Therefore, various advanced application, which is very useful in the development of communication system, cannot be used. Currently, the wireless network systems suffer from insufficient bandwidth utilization. However, the licensed users or primary users (PUs) do not use their spectrum all the time. So, to enhance the efficiency of bandwidth usage, the concept of Cognitive Radio (CR) also called secondary user (SU) has emerged as a new design paradigm. By detecting the spectrum holes in PU band as long as they cause no intolerable interference to licensed users, we can make a new dynamic bandwidth sharing strategy between primary and secondary users based on the economic factors, so that the bandwidth utilization and users satisfaction can be enhanced dramatically. We have proposed a simulation model, which allocates free bandwidth of PUs to SUs with an aim to minimize overall bandwidth allocation cost. To share the bandwidth of the primary user with secondary user's, we have developed an algorithm to minimize the cost of the bandwidth.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128851481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514332
A. Kumbhar, A. Kulkarni, U. Sutar
In healthcare applications, there is tremendous growth in using the computer assistance for effective and fast diagnostic. There are various modalities such as Magnetic resonance imaging (MRI), computed tomography (CT), digital mammography, and others, to provide an insight of subject's body, noninvasively in order to facilitate diagnostic stakeholders to take decision in diagnosis. Being an important step of imaging systems in diagnostic, MRI imaging has been active area for researchers in computational intelligence and image processing. One of the most important problems in image processing and analysis is segmentation and same is true for biomedical imaging. The main objective of segmentation is separating the pixels associated with different types of tissues like white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). In this paper, we attempted to optimize the feature set constructed from more than three different types of features. It is well-known fact that, long feature vector representation can be boosting the performance. However, irrelevant feature elements from the long feature vector can become hurdle in convergence of classifier. The optimization feature vector is accomplished using genetic algorithm (GA) with an objective function of maximizing the sum of precision and recall. In addition to the elimination of the feature elements, some elements were also weighted to reduce their effect in the feature matching score. This overall process can also be considered as “fusion of features” for MRI segmentation.
{"title":"Fusion of multiple features in Magnetic resonant image segmentation using genetic algorithm","authors":"A. Kumbhar, A. Kulkarni, U. Sutar","doi":"10.1109/IADCC.2013.6514332","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514332","url":null,"abstract":"In healthcare applications, there is tremendous growth in using the computer assistance for effective and fast diagnostic. There are various modalities such as Magnetic resonance imaging (MRI), computed tomography (CT), digital mammography, and others, to provide an insight of subject's body, noninvasively in order to facilitate diagnostic stakeholders to take decision in diagnosis. Being an important step of imaging systems in diagnostic, MRI imaging has been active area for researchers in computational intelligence and image processing. One of the most important problems in image processing and analysis is segmentation and same is true for biomedical imaging. The main objective of segmentation is separating the pixels associated with different types of tissues like white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). In this paper, we attempted to optimize the feature set constructed from more than three different types of features. It is well-known fact that, long feature vector representation can be boosting the performance. However, irrelevant feature elements from the long feature vector can become hurdle in convergence of classifier. The optimization feature vector is accomplished using genetic algorithm (GA) with an objective function of maximizing the sum of precision and recall. In addition to the elimination of the feature elements, some elements were also weighted to reduce their effect in the feature matching score. This overall process can also be considered as “fusion of features” for MRI segmentation.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121815090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514351
S. Gupta, R. K. Tripathi
Flexible AC Transmission Systems (FACTS) devices have been used in power systems since the 1970s for the improvement of its dynamic performance. Among these devices, Static Synchronous Compensator (STATCOM) is a shunt connected FACTS device, which is capable of providing reactive power compensation to the power system. STATCOM is a multiple input and multiple output system. In this paper, the CSC based STATCOM is controlled by the pole placement. But the best constant values for pole placement controller's parameters are laboriously obtained through trial and error, although time consuming. So the genetic algorithm (GA) is employed to find the best values for pole placement controller's parameters in a very short time. These methods are tested in MATLAB, and their results are obtained. The simulation results show an improvement in input-output response of CSC-STATCOM.
{"title":"A pole placement controller for CSC based STATCOM with genetic algorithm","authors":"S. Gupta, R. K. Tripathi","doi":"10.1109/IADCC.2013.6514351","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514351","url":null,"abstract":"Flexible AC Transmission Systems (FACTS) devices have been used in power systems since the 1970s for the improvement of its dynamic performance. Among these devices, Static Synchronous Compensator (STATCOM) is a shunt connected FACTS device, which is capable of providing reactive power compensation to the power system. STATCOM is a multiple input and multiple output system. In this paper, the CSC based STATCOM is controlled by the pole placement. But the best constant values for pole placement controller's parameters are laboriously obtained through trial and error, although time consuming. So the genetic algorithm (GA) is employed to find the best values for pole placement controller's parameters in a very short time. These methods are tested in MATLAB, and their results are obtained. The simulation results show an improvement in input-output response of CSC-STATCOM.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122289198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514465
R. Kushwah, S. Akashe
In this paper, we included designing of low power tunable analog circuits using double gate (DG) MOSFET, where the front gate output is changed by control voltage on the back gate. The DG devices can be used to improve the performance and reduce the power dissipation when front gate and back gate both are independently controlled. In this paper, we included the analysis of the analog tunable circuits such as CMOS Amplifier pair, Schmitt Trigger circuit and Operational trans-conductance Amplifier. Gain, phase and output response of analog tunable circuits have been illustrated in the paper. These circuit blocks are used for low-noise high-performance integrated circuits for analog and mixed-signal applications. The simulation results are predicted by Cadence Virtuoso Tool in 45nm complementary metal oxide semiconductor (CMOS) Technology.
{"title":"Design and analysis of tunable analog circuit using double gate MOSFET at 45nm CMOS technology","authors":"R. Kushwah, S. Akashe","doi":"10.1109/IADCC.2013.6514465","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514465","url":null,"abstract":"In this paper, we included designing of low power tunable analog circuits using double gate (DG) MOSFET, where the front gate output is changed by control voltage on the back gate. The DG devices can be used to improve the performance and reduce the power dissipation when front gate and back gate both are independently controlled. In this paper, we included the analysis of the analog tunable circuits such as CMOS Amplifier pair, Schmitt Trigger circuit and Operational trans-conductance Amplifier. Gain, phase and output response of analog tunable circuits have been illustrated in the paper. These circuit blocks are used for low-noise high-performance integrated circuits for analog and mixed-signal applications. The simulation results are predicted by Cadence Virtuoso Tool in 45nm complementary metal oxide semiconductor (CMOS) Technology.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126645558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514421
M. Potey, Dhanashri A. Patel, P. K. Sinha
Query log is the pouch of valuable information that records user's search queries and related actions on the internet. By mining the recorded information, it is possible to exploit the user's underlying goals, preferences, interests, search behaviors and implicit feedback. The wealth of mined information can be used in many applications such as query log analysis, query recommendation, query reformulation, query intent identification and many more to improve performance of search engine by providing more relevant results. Over the past decade, there has been tremendous work done for improving search engine results to flourish the users for searching. This paper reviews and compares some of the available methods to give an insight into the area of query log processing for information retrieval. Our approach classifies web query intent based on knowledge extraction from query log analysis.
{"title":"A survey of query log processing techniques and evaluation of web query intent identification","authors":"M. Potey, Dhanashri A. Patel, P. K. Sinha","doi":"10.1109/IADCC.2013.6514421","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514421","url":null,"abstract":"Query log is the pouch of valuable information that records user's search queries and related actions on the internet. By mining the recorded information, it is possible to exploit the user's underlying goals, preferences, interests, search behaviors and implicit feedback. The wealth of mined information can be used in many applications such as query log analysis, query recommendation, query reformulation, query intent identification and many more to improve performance of search engine by providing more relevant results. Over the past decade, there has been tremendous work done for improving search engine results to flourish the users for searching. This paper reviews and compares some of the available methods to give an insight into the area of query log processing for information retrieval. Our approach classifies web query intent based on knowledge extraction from query log analysis.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126864188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514456
R. S. Pippal, C. Jaidhar, S. Tapaswi
The goal of this paper is to design a mutual authentication scheme that supports secure data service migration among multiple registered devices (like PC, Laptop, Smartphone, etc.) so that each user can use the most suitable device whenever he/she feels. Authentication based on single factor depends on user's knowledge of some secret i.e. a password or a PIN. However, it is not secure enough. Two factor authentication is one which can be used as strong authentication scheme. This paper proposes mutual authentication scheme for session transfer among registered devices using smart card. Its security relies on the hardness of solving discrete logarithm problem and one way hash function. Random nonce is employed as a replacement for timestamp so as to avoid the cost of implementing clock synchronization between user and the server. Security analysis proves that this scheme is immune to the presented attacks and provides essential security features.
{"title":"A novel smart card mutual authentication scheme for session transfer among registered devices","authors":"R. S. Pippal, C. Jaidhar, S. Tapaswi","doi":"10.1109/IADCC.2013.6514456","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514456","url":null,"abstract":"The goal of this paper is to design a mutual authentication scheme that supports secure data service migration among multiple registered devices (like PC, Laptop, Smartphone, etc.) so that each user can use the most suitable device whenever he/she feels. Authentication based on single factor depends on user's knowledge of some secret i.e. a password or a PIN. However, it is not secure enough. Two factor authentication is one which can be used as strong authentication scheme. This paper proposes mutual authentication scheme for session transfer among registered devices using smart card. Its security relies on the hardness of solving discrete logarithm problem and one way hash function. Random nonce is employed as a replacement for timestamp so as to avoid the cost of implementing clock synchronization between user and the server. Security analysis proves that this scheme is immune to the presented attacks and provides essential security features.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129152883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514386
V. Vijaya Kishore, R. V. S. Satyanarayana
Several lung diseases are diagnosed detecting patterns of lung tissue in various medical imaging obtained from MRI, CT, US and DICOM. In recent years many image processing procedures are widely used on medical images to detect lung patterns at an early and treatment stages. Several approaches to lung segmentation combine geometric and intensity models to enhance local anatomical structure. When the lung images are added with noise, two difficulties are primarily associated with the detection of nodules; the detection of nodules that are adjacent to vessels or the chest wall corrupted and having very similar intensity; and the detection of nodules that are non-spherical in shape due to noise. In such cases, intensity thresholding or model based methods might fail to identify those nodules. Edges characterize boundaries and are hence of fundamental importance in image processing. Image edge detection significantly reduces the amount of data by filtering and preserving the important structural attributes. So understanding of edge detecting algorithms is necessary. In this paper Morphology based Region of interest segmentation combined with watershed transform of DICOM lung image is performed and comparative analysis in noisy environment such as Gaussian, Salt & Pepper, Poisson and speckle is performed. The ROI lung area blood vessels and nodules from the major lung portion are extracted using different edge detection filters such as Average, Gaussian, Laplacian, Sobel, Prewitt, Unsharp and LoG in presence of noise. The results are helpful to study and analyse the influence of noise on the DICOM images while extracting region of interest and to know how effectively the operators are able to detect, overcoming the impact of different noise. The evaluation process is based on parameters from which decision for the choice can be made.
{"title":"Performance evaluation of edge detectors - morphology based ROI segmentation and nodule detection from DICOM lung images in the noisy environment","authors":"V. Vijaya Kishore, R. V. S. Satyanarayana","doi":"10.1109/IADCC.2013.6514386","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514386","url":null,"abstract":"Several lung diseases are diagnosed detecting patterns of lung tissue in various medical imaging obtained from MRI, CT, US and DICOM. In recent years many image processing procedures are widely used on medical images to detect lung patterns at an early and treatment stages. Several approaches to lung segmentation combine geometric and intensity models to enhance local anatomical structure. When the lung images are added with noise, two difficulties are primarily associated with the detection of nodules; the detection of nodules that are adjacent to vessels or the chest wall corrupted and having very similar intensity; and the detection of nodules that are non-spherical in shape due to noise. In such cases, intensity thresholding or model based methods might fail to identify those nodules. Edges characterize boundaries and are hence of fundamental importance in image processing. Image edge detection significantly reduces the amount of data by filtering and preserving the important structural attributes. So understanding of edge detecting algorithms is necessary. In this paper Morphology based Region of interest segmentation combined with watershed transform of DICOM lung image is performed and comparative analysis in noisy environment such as Gaussian, Salt & Pepper, Poisson and speckle is performed. The ROI lung area blood vessels and nodules from the major lung portion are extracted using different edge detection filters such as Average, Gaussian, Laplacian, Sobel, Prewitt, Unsharp and LoG in presence of noise. The results are helpful to study and analyse the influence of noise on the DICOM images while extracting region of interest and to know how effectively the operators are able to detect, overcoming the impact of different noise. The evaluation process is based on parameters from which decision for the choice can be made.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132288974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-13DOI: 10.1109/IADCC.2013.6514312
P. Patel, U. Singh
One of the challenges in detection of data theft is the difficulty to distinguish copy operation from other type of access operations. Existing work in this area focuses on the stochastic model of filesystem behaviour to identify emergent patterns in MAC timestamps unique to copying. Such an approach produces lot of false positives because of the fact that patterns emerging due to copying are similar to other access operations like searching a file in folder, compressing a folder and scanning a folder by antivirus software. This paper proposes a technique that can be used to distinguish copy operation from other type of operations so that forensic analyst can concentrate on more relevant artefacts. The paper describes fuzzy inference system based technique that gives a confidence value to each cluster generated by stochastic forensic approach. Experimental results have shown that the false positives that are generated by the stochastic forensic approach can be filtered using the cluster confidence of our technique.
{"title":"Detection of data theft using fuzzy inference system","authors":"P. Patel, U. Singh","doi":"10.1109/IADCC.2013.6514312","DOIUrl":"https://doi.org/10.1109/IADCC.2013.6514312","url":null,"abstract":"One of the challenges in detection of data theft is the difficulty to distinguish copy operation from other type of access operations. Existing work in this area focuses on the stochastic model of filesystem behaviour to identify emergent patterns in MAC timestamps unique to copying. Such an approach produces lot of false positives because of the fact that patterns emerging due to copying are similar to other access operations like searching a file in folder, compressing a folder and scanning a folder by antivirus software. This paper proposes a technique that can be used to distinguish copy operation from other type of operations so that forensic analyst can concentrate on more relevant artefacts. The paper describes fuzzy inference system based technique that gives a confidence value to each cluster generated by stochastic forensic approach. Experimental results have shown that the false positives that are generated by the stochastic forensic approach can be filtered using the cluster confidence of our technique.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127003361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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