2016 International Conference on Computing, Analytics and Security Trends (CAST)最新文献

Big data architecture with mobile cloud in CDroid operating system for storing huge data CDroid操作系统中的移动云大数据架构，用于存储海量数据

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-19 DOI: 10.2139/SSRN.2968053

S. Koley, Sudarshan Nandy, Palash Dutta, Sudipto Dhar, Tapashri Sur

{"title":"Big data architecture with mobile cloud in CDroid operating system for storing huge data","authors":"S. Koley, Sudarshan Nandy, Palash Dutta, Sudipto Dhar, Tapashri Sur","doi":"10.2139/SSRN.2968053","DOIUrl":"https://doi.org/10.2139/SSRN.2968053","url":null,"abstract":"We are stepping frontward for an epoch of zeta bytes from Giga/Tera/Peta/Exa bytes in this era of computer science. The data storage in clouds is not the only preference as big data technology is obtainable for processing of both structured and unstructured data. Today a colossal sum of data is engendered by mobile phones (Smartphone) of both the composition types. For the sake of faster processing and elegant data utilization for gigantic quantity of data CDroid operating systems can be implemented with big data. Big data architecture is realized with mobile cloud for paramount deployment of wherewithal. The faster execution can be ended feasible for the make use of a new data centric architecture of MapReduce technology where as HDFS (Hadoop Distributed File System) also plays a big accountability in using data with dissimilar structures. As time advances the degree of data and information generated from smartphone augments and faster execution is call for the same. As per our research and development the only resolution for this mammoth amount of data is to put into practice Big data with CDroid scheme for best use of it. We believe this effort will budge a step ahead on the road to healthier civilization in close proximity to expectations.","PeriodicalId":217201,"journal":{"name":"2016 International Conference on Computing, Analytics and Security Trends (CAST)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132215369","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}

引用次数: 4

Literature search tool for the extraction of disease-associated genes using frequent itemset mining 文献检索工具，用于使用频繁项目集挖掘提取疾病相关基因

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7914985

Ansu Francis, K. Nazeer

引用次数: 1

A survey on IoT applications, security challenges and counter measures 物联网应用、安全挑战及应对措施调查

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7914983

A. Pawar, S. Ghumbre

{"title":"A survey on IoT applications, security challenges and counter measures","authors":"A. Pawar, S. Ghumbre","doi":"10.1109/CAST.2016.7914983","DOIUrl":"https://doi.org/10.1109/CAST.2016.7914983","url":null,"abstract":"Internet of Things (IoT) is a recent technology that permits the users to connect anywhere, anytime, anyplace and to anyone. In this paper, the various medical services of IoT such as Ambient Assisted Living (AAL), Internet of m-health, community healthcare, indirect emergency healthcare and embedded gateway configuration are surveyed. Further, the applications of IoT in sensing the glucose level, ECG monitoring, blood pressure monitoring, wheelchair management, medication management and rehabilitation system are analyzed. The analysis results show that the use of IoT in the medical field increases the quality of life, user experience, patient outcomes and real-time disease management. The introduction of medical IoT is not without security challenges. Hence, the security threats such as confidentiality, authentication, privacy, access control, trust, and policy enforcement are analyzed. The presence of these threats affect the performance of IoT, thus, the cryptographic algorithms like Advanced Encryption Standard (AES), Data Encryption Standard (DES) and Rivest-Shamir-Adleman (RSA) are used. The investigation on these techniques proves that the RSA provides better security than the AES and DES algorithms.","PeriodicalId":217201,"journal":{"name":"2016 International Conference on Computing, Analytics and Security Trends (CAST)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116908924","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}

引用次数: 71

Speech bandwidth extension using magnitude spectrum data hiding 使用幅度谱数据隐藏的语音带宽扩展

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7914941

N. Prasad, T. Kumar

{"title":"Speech bandwidth extension using magnitude spectrum data hiding","authors":"N. Prasad, T. Kumar","doi":"10.1109/CAST.2016.7914941","DOIUrl":"https://doi.org/10.1109/CAST.2016.7914941","url":null,"abstract":"Public telephone systems transmit speech across a limited frequency range, about 300–3400 Hz, called narrowband (NB) which results in a significant reduction of quality and intelligibility of speech. This paper proposes a fully backward compatible novel method for bandwidth extension of NB speech. The method uses magnitude spectrum data hiding technique to provide a perceptually better wideband speech signal. Code excited linear prediction (CELP) parameters are extracted from the down sampled frequency shifted version of the high frequency components of speech signal existing above NB, which are spread by using pseudo-noise codes, and are embedded in the low-amplitude high-frequency regions of the magnitude spectrum of NB speech signal. The embedded information is extracted at the receiving end to reconstruct the wideband speech signal. Theoretical and simulation analyses show that the proposed method is robust to quantization and channel noises. The log spectral distortion test clearly show that the reconstructed wideband signal gives a much better performance in terms of speech quality when compared to some of the existing speech bandwidth extension methods employing data hiding.","PeriodicalId":217201,"journal":{"name":"2016 International Conference on Computing, Analytics and Security Trends (CAST)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124828076","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}

引用次数: 2

Smart Healthcare Monitoring System based on Wireless Sensor Networks 基于无线传感器网络的智能医疗监测系统

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7915037

U. Gogate, J. Bakal

引用次数: 20

Applying Bayesian game theory to analyse cyber risks of bank transaction systems 应用贝叶斯博弈论分析银行交易系统的网络风险

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7914945

Pieter Van der Veeken, Stijn Van Schooten, Rhythima Shinde, M. Dunnewind, Jan van den Berg

引用次数: 4

Pattern co-occurrence matrix to reduce the low frequency problem and effective pattern discovery 模式共现矩阵减少低频问题，有效发现模式

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7914931

Rupali Gangarde

{"title":"Pattern co-occurrence matrix to reduce the low frequency problem and effective pattern discovery","authors":"Rupali Gangarde","doi":"10.1109/CAST.2016.7914931","DOIUrl":"https://doi.org/10.1109/CAST.2016.7914931","url":null,"abstract":"Useful information from a text document can be extracted using text mining techniques. Many text mining methods are generally uses term or keyword based approach. They all have advantages, but get stuck into the issue of synonymy: two terms have the same meaning and polysemy: one term has many meanings. So phrase based approaches are suggested, but they are not performing better than term based approaches. Instead of term based methods pattern mining methods are suggested, but there is still an open research issue of utilizing and modifying these discovered patterns. Pattern mining methods suffer from pattern misinterpretation and low frequency problem. This paper presents an effective technique to extract patterns that applies the pattern taxonomy model to get close sequential patterns. Pattern deploying process is used to reduce the pattern misinterpretation problem. Pattern co-occurrence matrix (PCM) is applied get the important relationship between close sequential patterns and removes patterns with zero co-occurrence weight. PCM and Inner Pattern Evolution process gives the benefit of reducing low frequency problem. This increases effectiveness of extracting interesting and accurate to the topic information.","PeriodicalId":217201,"journal":{"name":"2016 International Conference on Computing, Analytics and Security Trends (CAST)","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116417580","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}

引用次数: 0

Fuzzy logic based cluster head selection and data processing in Distributed Sensor Networks 基于模糊逻辑的分布式传感器网络簇头选择与数据处理

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7914981

L. B. Bhajantri, A. Sutagundar

{"title":"Fuzzy logic based cluster head selection and data processing in Distributed Sensor Networks","authors":"L. B. Bhajantri, A. Sutagundar","doi":"10.1109/CAST.2016.7914981","DOIUrl":"https://doi.org/10.1109/CAST.2016.7914981","url":null,"abstract":"Distributed Sensor Networks (DSNs) is a new generation of real time embedded systems with high computation. The energy and memory resources are being used in a wide variety of applications, where as traditional networking infrastructure is practically infeasible. In all applications of DSNs, expecting great number of distributed sensor nodes. The number of nodes are grouped into efficient clusters, instead of sending data by single node to sink node in DSNs. Clusters are used to perform following parameters in terms of scalability, load balancing, network lifetime, and etc. This paper proposes a fuzzy logic based clustering and data processing in DSNs. This approach incorporates energy level of each node, bandwidth, and link efficiency. The objective of the proposed work is to improve the performance of network in terms of energy consumption, throughput, time for cluster head selection, number of alive nodes, and network lifetime. The simulation result shows that the proposed approach perform better than LEACH protocol that utilizes minimum energy, latency for cluster formation, and reduce communication overhead in DSNs.","PeriodicalId":217201,"journal":{"name":"2016 International Conference on Computing, Analytics and Security Trends (CAST)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122672341","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}

引用次数: 5

ECG based authentication using Autocorrelation and Artificial Neural Networks 基于心电的自相关和人工神经网络认证

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7914973

D. M, Ashish Jain, Moulyashree S.C, Aaneesh Melkot, Manjula A.V

{"title":"ECG based authentication using Autocorrelation and Artificial Neural Networks","authors":"D. M, Ashish Jain, Moulyashree S.C, Aaneesh Melkot, Manjula A.V","doi":"10.1109/CAST.2016.7914973","DOIUrl":"https://doi.org/10.1109/CAST.2016.7914973","url":null,"abstract":"Biometrics refers to metrics or parameters related to human characteristics. Several Biometric security systems and authentication proceduresare already in use ranging from fingerprint scanners to facial recognition software. Even with the rapid advancement of these security systems, they are still susceptible to frauds. The proposed ECG based authentication (ECGA) could prove to be highly secure and cost effective, if employed correctly. This is a non-invasive technique. The Electrocardiogram (ECG) obtained is unique to different individuals i.e., no two persons have same cardiac rhythm. ECGA aims to exploit this fact to provide unique security identity to all the individuals which is used for authentication process. A new authentication strategy is being employed here, where Time domain ECG signal processing is performed involving filtering, peak detection, ECG waveform segmentation, autocorrelation and amplitude normalization. Further the processed signal is fed to the Neural Networks, powers of Neural Networks are harnessed to create a supervised system that can identify individuals by matching the real time sample to the template present in the template database. This project results on a small dataset and proves that ECG appears to be a viable trait for real-world biometric scenarios.","PeriodicalId":217201,"journal":{"name":"2016 International Conference on Computing, Analytics and Security Trends (CAST)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122913780","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}

引用次数: 2

Protego: A passive intrusion detection system for Android smartphones Protego:针对Android智能手机的被动入侵检测系统

2016 International Conference on Computing, Analytics and Security Trends (CAST) Pub Date : 2016-12-01 DOI: 10.1109/CAST.2016.7914972

P. Joshi, Chani Jindal, Mukti Chowkwale, Rohan Shethia, S. Shaikh, Dhaval Ved

{"title":"Protego: A passive intrusion detection system for Android smartphones","authors":"P. Joshi, Chani Jindal, Mukti Chowkwale, Rohan Shethia, S. Shaikh, Dhaval Ved","doi":"10.1109/CAST.2016.7914972","DOIUrl":"https://doi.org/10.1109/CAST.2016.7914972","url":null,"abstract":"With the proliferation of smartphones, the security threats have correspondingly increased. Although some form of security mechanisms like authentication and encryption have been provided on platforms such as Android, these alone cannot mitigate all the forms of threats. Thus, the need for an intrusion detection system for smartphones has become immensely important. In this project, we capitalize on earlier approaches of host-based intrusion detection systems and behavior-based intrusion detection systems for Android smartphones to design and implement a host-based, behavior-based passive intrusion detection system, Protego, for Android smartphones. There are two versions - static and dynamic, each with its own novel approach. The static version of Protego improves predictive performance by implementing feature reduction, thus increasing classifier accuracy significantly. The novelty of dynamic approach is that it analyzes live traffic with a minimum delay (in the order of milliseconds). This opens up a variety of use cases for our system, especially in the business world where information security on smartphones is of utmost importance. We have illustrated this by also extending Protego to devise a solution for BYOD (bring your own device), a growing trend in the corporate world, by using the IDS to detect other malicious activities like peer-to-peer traffic from torrent clients.","PeriodicalId":217201,"journal":{"name":"2016 International Conference on Computing, Analytics and Security Trends (CAST)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114598978","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}

引用次数: 4