International Journal on Information Sciences and Computing最新文献

LOW EMISSION POWER GENERATION IN INDIA BY 2030 到2030年印度实现低排放发电

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50068

P. Umeshkannan

引用次数: 0

A MODIFIED LSB MATCHING STEGANOGRAPHY TECHNIQUE FOR IMAGES TO HIDE EXECUTABLE FILES 一种用于图像隐藏可执行文件的改进LSB匹配隐写技术

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50087

P. M. Kumar, K. L. Shunmuganathan

引用次数: 0

Mining Audit Data for Intrusion Detection Systems Using Support Vector Machines and Neural Networks 基于支持向量机和神经网络的入侵检测系统审计数据挖掘

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50010

Ramamoorthy Subbureddiar, Srinivas Mukkamala, Madhu K. Shankarpani, A. Sung

{"title":"Mining Audit Data for Intrusion Detection Systems Using Support Vector Machines and Neural Networks","authors":"Ramamoorthy Subbureddiar, Srinivas Mukkamala, Madhu K. Shankarpani, A. Sung","doi":"10.18000/IJISAC.50010","DOIUrl":"https://doi.org/10.18000/IJISAC.50010","url":null,"abstract":"This paper concerns using learning machines for intrusion detection. Two classes of learning machines are studied: Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs). We show that SVMs are superior to ANNs for intrusion detection in three critical respects: SVMs train, and run, an order of magnitude faster; SVMs scale much better; and SVMs give higher classification accuracy. We also address the related issue of ranking the importance of input features, which is itself a problem of great interest in modeling. Since elimination of the insignificant and/or useless inputs leads to a simplification of the problem and possibly faster and more accurate detection, feature selection is very important in intrusion detection. Two methods for feature ranking are presented: the first one is independent of the modeling tool, while the second method is specific to SVMs. The two methods are applied to identify the important features in the 1999 DARPA intrusion data. It is shown that the two methods produce results that are largely consistent. We present various experimental results that indicate that SVM-based intrusion detection using a reduced number of features can deliver enhanced or comparable performance. An SVM-based IDS for class-specific detection is thereby proposed. Intrusion detection, Feature selection, Machine learning","PeriodicalId":121456,"journal":{"name":"International Journal on Information Sciences and Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122428346","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

Computing with Biological Models 生物模型计算

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/ijisac.50007

R. Dare

引用次数: 0

INTEGRATED APPROACH TO ECG SIGNAL PROCESSING 心电信号处理的综合方法

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50085

M. Kaur, Ubhi J.S, Birmohan Singh, Seema

引用次数: 1

DESIGN OF PID CONTROLLER FOR A LINEAR BRUSHLESS DC MOTOR USING SOFT COMPUTING TECHNIQUES 用软计算技术设计直线无刷直流电动机的pid控制器

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50097

M. Belsamjebaananth, R. C.S, A. Prabha

引用次数: 3

EFFECT OF HALF-OPEN CONNECTION LIFETIME IN DEFENDING AGAINST DDOS ATTACK 半开连接生存时间在防御ddos攻击中的作用

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50051

S. Meenakshi, S. Srivatsa

{"title":"EFFECT OF HALF-OPEN CONNECTION LIFETIME IN DEFENDING AGAINST DDOS ATTACK","authors":"S. Meenakshi, S. Srivatsa","doi":"10.18000/IJISAC.50051","DOIUrl":"https://doi.org/10.18000/IJISAC.50051","url":null,"abstract":"The explosive growth in computer systems and their interconnections via networks has increased the dependence of both organizations and individuals on the information stored and communicated using these systems. This has increased the need to protect the data and the resources from disclosure and to protect the entire network from network based attacks. There are many attacks intended to deprive legitimate users from accessing network resources and functions. Denial of service (DoS) attack is an attack on the availability of Internet services and resources. Flooding based distributed denial of service (DDOS) attack presents a very serious threat to the stability of the Internet. In spite of many intrusion detection mechanisms, many find it difficult to withstand against large scale attacks. We want to design a comprehensive mitigation mechanism against the DDoS attack. In this proposed system a comprehensive solution is given against the attack. In the proposed system the detection accuracy has been increased by varying the half-open connection lifetime. This work can be done by using consensus algorithms for exchanging the information between the detection systems. So the overall detection time would be reduced for global decision making.","PeriodicalId":121456,"journal":{"name":"International Journal on Information Sciences and Computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130678438","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

Computer Assisted Language Learning- An Essential Tool for The English Language Teachers 计算机辅助语言学习——英语教师的必备工具

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50014

N. Manivannan, Shubhankar Mukherjee

引用次数: 0

IMPROVED TOTAL PRODUCTIVE MAINTENANCE USING LEAN PRINCIPLES IN AIRCRAFT MANUFACTURING AND MAINTENANCE 在飞机制造和维修中使用精益原则改进了全面的生产性维修

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50074

Kolanjiappan S, Maran K

引用次数: 0

Security Improved Ad-Hoc on Demand Distance Vector Routing Protocol (SIm AODV) 安全性改进的Ad-Hoc按需距离矢量路由协议(SIm AODV)

International Journal on Information Sciences and Computing Pub Date : 1900-01-01 DOI: 10.18000/IJISAC.50164

B. Karthikeyan, S. Ganesh, N. Kanimozhi

引用次数: 6