2016 10th International Conference on Intelligent Systems and Control (ISCO)最新文献_第2页

Pixel selection based on the difference between secret message and cover image pixel for efficient information hiding 基于秘密信息和封面图像像素的差异进行像素选择，实现有效的信息隐藏

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7726877

G. Umamaheswari, C. Sumathi

引用次数: 0

Machine learning based malware classification for Android applications using multimodal image representations 基于机器学习的恶意软件分类Android应用程序使用多模态图像表示

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7726949

Ajit Kumar, K. Sagar, K. Kuppusamy, G. Aghila

{"title":"Machine learning based malware classification for Android applications using multimodal image representations","authors":"Ajit Kumar, K. Sagar, K. Kuppusamy, G. Aghila","doi":"10.1109/ISCO.2016.7726949","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7726949","url":null,"abstract":"The popularity of smartphones usage especially Android mobile platform has increased to 80% of share in global smartphone operating systems market, as a result of which it is on the top in the attacker's target list. The fact of having more private data and low security assurance letting the attacker to write several malware programs in different ways for smartphone, and the possibility of obfuscating the malware detection applications through different coding techniques is giving more energy to attacker. Several approaches have been proposed to detect malwares through code analysis which are now severely facing the problem of code obfuscation and high computation requirement. We propose a machine learning based method to detect android malware by analyzing the visual representation of binary formatted apk file into Grayscale, RGB, CMYK and HSL. GIST feature from malware and benign image dataset were extracted and used to train machine learning algorithms. Initial experimental results are encouraging and computationally effective. Among machine learning algorithms Random Forest have achieved highest accuracy of 91% for grayscale image, which can be further improved by tuning the various parameters.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"17 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":"124697337","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: 27

A framework for extraction of journal information from scientific publishers web site 从科学出版商网站中提取期刊信息的框架

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7726937

Umamageswari Kumaresan, K. Ramanujam

引用次数: 1

Designing photonic crystal fiber for optical sensor and medical application and suitable for wavelength division multiplexing systems 设计用于光学传感器和医疗应用的光子晶体光纤，适用于波分复用系统

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7726933

Pranaw Kumar, M. Senapati, Saswati Das

引用次数: 5

Integration of computer aided design and computer aided manufacturing using STEP data exchange standard 采用STEP数据交换标准实现计算机辅助设计与计算机辅助制造的集成

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727032

D. Sreeramulu, N. Ramesh, C. Rao

引用次数: 1

The IT audit research based on the information system success model and COBIT 基于信息系统成功模型和COBIT的IT审计研究

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727117

Li Tingliao

引用次数: 5

Analysis of retrieval models for cross language information retrieval 跨语言信息检索模型分析

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727028

Das Ujjwal, Prakhar Rastogi, S. Siddhartha

引用次数: 3

Computer vision for diagnosis of malignant melanoma by pixel intensity matrix parameters 基于像素强度矩阵参数的恶性黑色素瘤计算机视觉诊断

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7726915

P. M. Arabi, Gayatri Joshi, Surekha Nigudgi, N. Deepa

引用次数: 3

Evaluation of particle swarm optimization algorithm in photovoltaic applications 粒子群优化算法在光伏应用中的评价

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727043

E. Malarvizhi, J. Kamala, A. Sivasubramanian

引用次数: 3

Unscented Kalman filter based nonlinear state estimation case study — Nonlinear process control reactor (Continuous stirred tank reactor) 基于Unscented卡尔曼滤波的非线性状态估计案例研究-非线性过程控制反应器(连续搅拌槽式反应器)

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727083

M. Shyamalagowri, R. Rajeswari

{"title":"Unscented Kalman filter based nonlinear state estimation case study — Nonlinear process control reactor (Continuous stirred tank reactor)","authors":"M. Shyamalagowri, R. Rajeswari","doi":"10.1109/ISCO.2016.7727083","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727083","url":null,"abstract":"In this paper, UKF has been applied to a highly nonlinear CSTR, in order to investigate the performance achieved by the state and parameter estimator. The Unscented Kalman Filter has become a standard technique used in a number of nonlinear estimation. The use of the UKF to a broader class of nonlinear estimation problems, including nonlinear system identification, training of neural networks, and dual estimation problems. UKFs use nonlinear unscented transforms (UTs) in the prediction step in order to preserve the stochastic characteristics of a nonlinear system. The advantage of using UTs is their ability to capture the nonlinear behavior of the system, unlike extended KFs (EKFs) that use linearized models. Four original variants of the UKF for CSTR state estimation, based on different UTs, are described, analyzed, and compared. The four transforms are basic, general, simplex, and spherical UTs. This paper discusses the theoretical aspects and implementation details of the four UKFs. Experimental results for a non linear process control reactor CSTR is presented. It is concluded that the UKF is a viable and powerful tool for CSTR state estimation and that basic and general UTs give more accurate results than simplex and spherical UTs. The proposed methodology is tested on a simulated continuous stirred tank reactor (CSTR) problem to estimate 4 states of this nonlinear plant. The simulation results demonstrate the superiority of the suggested method in state estimation compared with the classical UKF-based approach.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"108 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":"131508969","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