2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献_第4页

Transfer Learning Based Intrusion Detection 基于迁移学习的入侵检测

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566601

Zahra Taghiyarrenani, A. Fanian, Ehsan Mahdavi, Abdolreza Mirzaei, Hamed Farsi

{"title":"Transfer Learning Based Intrusion Detection","authors":"Zahra Taghiyarrenani, A. Fanian, Ehsan Mahdavi, Abdolreza Mirzaei, Hamed Farsi","doi":"10.1109/ICCKE.2018.8566601","DOIUrl":"https://doi.org/10.1109/ICCKE.2018.8566601","url":null,"abstract":"In the past decades, machine learning based intrusion detection systems have been developed. This paper discloses a new aspect of machine learning based intrusion detection systems. The proposed method detects normal and anomaly behaviors in the desired network where there are not any labeled samples as training dataset. That is while a plenty of labeled samples may exist in another network that is different from the desired network. Because of the difference between two networks, their samples produce in different manners. So, direct utilizing of labeled samples of a different network as training samples does not provide acceptable accuracy to detect anomaly behaviors in the desired network. In this paper, we propose a transfer learning based intrusion detection method which transfers knowledge between the networks and eliminates the problem of providing training samples that is a costly procedure. Comparing the experimental results with the results of a basic machine learning method (SVM) and also baseline method(DAMA) shows the effectiveness of the proposed method for transferring knowledge for intrusion detection systems.","PeriodicalId":283700,"journal":{"name":"2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121630669","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: 18

Arselda: An Improvement on Adaptive Random Testing by Adaptive Region Selection Arselda:基于自适应区域选择的自适应随机测试改进

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566625

Mohammad Rezaalipour, Lida Talebsafa, M. Vahidi-Asl

{"title":"Arselda: An Improvement on Adaptive Random Testing by Adaptive Region Selection","authors":"Mohammad Rezaalipour, Lida Talebsafa, M. Vahidi-Asl","doi":"10.1109/ICCKE.2018.8566625","DOIUrl":"https://doi.org/10.1109/ICCKE.2018.8566625","url":null,"abstract":"Distance-aware Forgetting Fixed Size Candidate Set (DF-FSCS) is an Adaptive Random Testing (ART) technique, which lowers the computational overhead of Fixed Size Candidate Set ART (FSCS-ART), using a forgetting strategy. DF-FSCS partitions the input domain into regions, and while computing the distance of a candidate test case from executed test cases, as a vector in the input domain, it only considers test cases that are in the same region as the candidate. Although being a lightweight technique, there are two issues with DF-FSCS. First, it does not attempt to generate test cases in low-density regions, which if done, could result in a more even spread of test cases. Second, the regions it defines are smaller at the lower or upper boundaries of input domains, which declines the quality of test cases produced in these regions. We propose Arselda, an APR technique that improves DF-FSCS. By generating test cases in low-density regions that have a fewer number of test cases and enlarging regions at lower or upper boundaries of input domains, Arselda addresses the two issues mentioned above. Considering DF-FSCS as the baseline, a simulation analysis has been performed to evaluate the effectiveness of Arselda. According to the experiment results, Arselda has better failure detection effectiveness compared with the baseline for the block failure pattern. Also, Arselda has lower computational overhead than the baseline.","PeriodicalId":283700,"journal":{"name":"2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115397642","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

Forward Kinematics Analysis of a 3-PRR Planer Parallel Robot Using a Combined Method Based on the Neural Network 基于神经网络的3-PRR刨床并联机器人正运动学分析

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566243

Fazeleh Tavassolian, Hassan Khotanlou, P. Varshovi-Jaghargh

引用次数: 2

Maximum Degree Based Heuristics for Influence Maximization 基于最大程度的影响最大化启发式方法

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566515

Maryam Adineh, Mostafa Nouri-Baygi

引用次数: 5

Analyze Students Performance of a National Exam Using Feature Selection Methods 使用特征选择方法分析学生在国家考试中的表现

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566671

Hanieh Zehtab Hashemi, Parvaneh Parvasideh, Zahra Hasan Larijani, Fatemeh Moradi

引用次数: 2

No-Reference Deep Compressed-Based Video Quality Assessment 无参考深度压缩视频质量评估

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566395

M. Alizadeh, A. Mohammadi, M. Sharifkhani

引用次数: 3

Extending RISC- V ISA for Accelerating the H.265/HEVC Deblocking Filter 加速H.265/HEVC分块滤波器的RISC- V ISA扩展

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566467

M. Alizadeh, M. Sharifkhani

引用次数: 1

Max-Min Ant Colony Optimization Method for Edge Detection Exploiting a New Heuristic Information Function 基于新启发式信息函数的边缘检测的最大最小蚁群优化方法

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566516

Saba Kheirinejad, S. Hasheminejad, N. Riahi

引用次数: 4

Routing in VANETs Based on Intersection Using SDN and Fog Computing 基于SDN和雾计算的交叉口vanet路由

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566352

Naserali Noorani, S. Seno

{"title":"Routing in VANETs Based on Intersection Using SDN and Fog Computing","authors":"Naserali Noorani, S. Seno","doi":"10.1109/ICCKE.2018.8566352","DOIUrl":"https://doi.org/10.1109/ICCKE.2018.8566352","url":null,"abstract":"Vehicular ad-hoc networks (VANET), as one of the main components of intelligent transport systems (ITS), face many issues including architecture inflexibility, instability of wireless communications, limitation in transmission range, repetitive topological variations due to high vehicle mobility, etc. One of the current challenges in VANETs in establishing communication and data forwarding arises in areas without Road Side Unit (RSU) coverage, called communication coverage holes. In these areas, vehicles are responsible for data forwarding through vehicle-to-vehicle (V2V) communication. Also given the issues of large data production and big data, communicative capability of vehicles can be used for data forwarding and establishing efficient communication, eliminating unnecessary bandwidth usage through the Internet and its infrastructures. The purpose of this article is proposing a method to improve data forwarding in V2V communication so as to cover communication coverage holes. This can help cover communication coverage holes. To this end, the advantages of software-defined network (SDN) and fog computing are used to improve V2V communication, and propose an intersection-based routing based on SDN and fog computing called SFIR. Finally the method is simulated and compared with the current protocols. Results indicate that SFIR significantly improves packet delivery ratio, packet loss ratio, and delay time.","PeriodicalId":283700,"journal":{"name":"2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131395455","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: 9

Real-Time Object Detection and Classification for Autonomous Driving 自动驾驶实时目标检测与分类

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566491

Seyyed Hamed Naghavi, H. Pourreza

引用次数: 2