2015 7th Conference on Information and Knowledge Technology (IKT)最新文献

The More the Safe, the Less the Unsafe: An efficient method to unauthenticated packets detection in WSNs 越安全越不安全:无线传感器网络中一种有效的未经认证报文检测方法

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-10-05 DOI: 10.1109/IKT.2015.7288771

M. Kamarei, Amir Hossein Nasrollah Barati, A. Patooghy, M. Fazeli

{"title":"The More the Safe, the Less the Unsafe: An efficient method to unauthenticated packets detection in WSNs","authors":"M. Kamarei, Amir Hossein Nasrollah Barati, A. Patooghy, M. Fazeli","doi":"10.1109/IKT.2015.7288771","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288771","url":null,"abstract":"This paper proposes an efficient method to unauthenticated packets detection in Wireless Sensor Networks (WSNs). Unauthenticated packets are broadcasted within the network by attacker nodes to increase in the network energy consumption as well as the network congestion. Proposed method uses the More the Safe, the Less the Unsafe, MSLU, policy to unauthenticated packets detection. Based on MSLU policy, if after each event occurrence several sensor nodes report it to a base station, then this event occurrence report with high probably is an authenticated event. On the other hand, unauthenticated packets with high probably are made and injected within the network by an attacker node. In the more the safe, the less the unsafe policy, sensor nodes do not tend to relay packets that have been made by a node. WSNs are event-driven networks with many to one traffic pattern. Of course, WSNs are very redundant, so each point within the network is covered by more than one sensor node. Since, the more the safe, the less the unsafe policy, considers an occurred event must be reported by several sensor nodes. Simulation results that have been implemented via NS-2 simulator show that the proposed method detects more than 85% unauthenticated packets in average.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122731002","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: 1

A secure watermark embedding approach based on chaotic map for image tamper detection 一种基于混沌映射的安全水印嵌入方法用于图像篡改检测

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-10-05 DOI: 10.1109/IKT.2015.7288809

M. Barani, Milad Yousefi Valandar, P. Ayubi

引用次数: 11

A new band selection method for hyperspectral images based on constrained optimization 基于约束优化的高光谱图像波段选择新方法

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-10-05 DOI: 10.1109/IKT.2015.7288779

Elahe Gharaati, Mehdi Nasri

引用次数: 6

Intelligent classification of ECG signals to distinguish between pre and on-music states 智能分类心电信号，区分音乐前和音乐后的状态

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-10-05 DOI: 10.1109/IKT.2015.7288790

Soheila Hajizadeh, A. Abbasi, Atefeh Goshvarpour

{"title":"Intelligent classification of ECG signals to distinguish between pre and on-music states","authors":"Soheila Hajizadeh, A. Abbasi, Atefeh Goshvarpour","doi":"10.1109/IKT.2015.7288790","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288790","url":null,"abstract":"In this work, the classification of heart signals affected by music is investigated. The nonlinear and chaotic nature of ECG signals makes it desirable to develop and apply an intelligent mechanism for efficient signal classification. Afterwards, extracting the recognizable and functional features plays a significant role in classification accuracy. Empirical mode decomposition (EMD), as an adaptive mathematical analysis is applied to decompose the signals into a sum of components each called an intrinsic mode function (IMF). IMF values are applied to determine whether the changes in signal features are experimentally significant due to the music. The performance of two practical classification methods is reported to determine the most efficient input-output relationship between music and heart signals. Experimental results over 62 cases, validates the generalization capability of the proposed method and perform acceptable values of MSE for the classification process. Elman recurrent neural network (ERNN) performed most effectively in classifying the maximum frequency (MaxFreq) and sample entropy (SampEn) of IMF (2). However, results reflect the considerable potential of feed-forward neural network (FFNN) for the classification of maximum amplitude of FFT (MaxFFT) and MaxFreq of IMF (1).","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116653578","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: 3

A new method for evaluating cloud computing user behavior trust 一种新的云计算用户行为信任评估方法

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288735

Seyedeh Bahare Hosseini, Aida Shojaee, N. Agheli

{"title":"A new method for evaluating cloud computing user behavior trust","authors":"Seyedeh Bahare Hosseini, Aida Shojaee, N. Agheli","doi":"10.1109/IKT.2015.7288735","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288735","url":null,"abstract":"Cloud computing is a model for networking universal, easy and on demand access to a set of computing resources that can be quickly interfering with minimum labor, or require the service provider to be provisioned. One of the issues discussed in cloud computing, is user behavior trust in cloud services. For trusted services and users' satisfaction in the context of cloud computing behavior trust of each user should be assessed. Cloud computing subscribers, including members, local organizations and distributed resources should built trustworthy relationships among entities which are linked together. Relationships are based on trust. In this paper we proposed a new method for user behavior trust evaluation that considers user's identification code and mac address to prevent the registration of members with multiple user names and makes available the information of user behavior trust in other cloud computing environments. Also, in calculating the amount of user behavior trust assigns a negative score for repeated disruptive behaviors. This method rely on the user behavior from the perspective of service providers in the 6-step measures and considers the new scores of user, behavior scores rated in the past, the scores of the other entities and scores of other cloud computing provider's to the user. Principles are presented for calculating scores and total confidence to the end user is obtained as a score. The method helps identify malicious users and negative behaviors. Finally we compare proposed model with other models of user behavior evaluation that use principles and show the effectiveness of model in detecting malicious behavior and users.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123217105","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: 16

Novel resource assignment method for balancing the Inter-Cell Interference in OFDM cellular networks OFDM蜂窝网络中平衡小区间干扰的资源分配新方法

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288666

H. Yazdi, M. Khayyambashi, B. S. Ghahfarokhi

引用次数: 0

Feature subset selection using Information Energy and correlation coefficients of hesitant fuzzy sets 利用犹豫模糊集的信息能量和相关系数选择特征子集

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288746

M. K. Ebrahimpour, M. Eftekhari

{"title":"Feature subset selection using Information Energy and correlation coefficients of hesitant fuzzy sets","authors":"M. K. Ebrahimpour, M. Eftekhari","doi":"10.1109/IKT.2015.7288746","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288746","url":null,"abstract":"In this paper, a novel feature selection algorithm based on hesitant fuzzy sets (HFS) is proposed. For each feature two HFSs are defined.For generating the first HFS for each defining feature, the opinions of three different ranking algorithms are considered. For second HFS for each feature the opinions of three different proximity measures are considered. The Information Energy (IE) of the first HFS for each feature is considered as the relevancy measure of the feature to the class labels. Then the hesitant correlation coefficient matrix for features is calculated based on the second HFSs. After that the average of hesitant correlation coefficients is considered as the relevancy measure of selected features. By combining hesitant based relevancy and redundancy measures, a new feature selection merit is proposed. The proposed merit potentially is able to consider both the maximum relevancy and the minimum redundancy of selected features. The efficiency of this approach is proved through 9 UCI repository datasets. The approach demonstrates a significant performance in both number of selected features and classification accuracy by four different classifiers.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125433497","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: 8

Sender based adaptive VoIP quality improvement using constructive feedback 基于发送方的基于建设性反馈的自适应VoIP质量改进

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288752

Ehsan Faghihi, M. Behdadfar, M. E. Sadeghi

引用次数: 4

A new computer vision algorithm for classification of POLSAR images 一种新的POLSAR图像分类计算机视觉算法

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288776

Zahra Faraji, G. Akbarizadeh

引用次数: 10

A MapReduce-based algorithm for parallelizing collusion detection in Hadoop Hadoop中基于mapreduce的并行串通检测算法

2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288760

M. Mortazavi, B. T. Ladani

引用次数: 1