Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics最新文献

A digraph model for risk identification and mangement in SCADA systems SCADA系统风险识别与管理的有向图模型

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5983990

J. Guan, J. Graham, Jeffrey L. Hieb

{"title":"A digraph model for risk identification and mangement in SCADA systems","authors":"J. Guan, J. Graham, Jeffrey L. Hieb","doi":"10.1109/ISI.2011.5983990","DOIUrl":"https://doi.org/10.1109/ISI.2011.5983990","url":null,"abstract":"Supervisory control and data acquisition (SCADA) systems are critical to today's industrial facilities and infrastructures. SCADA systems have evolved into large and complex networks of information systems and are increasingly vulnerable to various types of cyber-security risks. Identifying and managing risks in SCADA systems has become critical in ensuring the safety and reliability of these facilities and infrastructures. Most of the existing research on SCADA risk modeling and management has focused on probability-based or quantitative approaches. While probabilistic approaches have proven to be useful, they also suffer from common problems such as simplifying assumptions, large implementation costs, and inability to completely capture all the important aspects of risk. This paper proposes a digraph model for SCADA systems that allows formal, explicit representation of a SCADA system. A number of risk management methods are presented and discussed for a SCADA system based on the proposed model. The methods are applied to a chemical distillation application as a case study, and shows promising initial results in identifying areas of system vulnerability.","PeriodicalId":220165,"journal":{"name":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127362025","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: 23

Research on application of the minimum error average fitting method in computer color matching 最小误差平均拟合方法在计算机配色中的应用研究

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984100

Bingsen Zhang, Yaping Shi, Houjun Yang, Xiaojie Liu, A. Zhang

引用次数: 1

Prognostics and health monitoring for lithium-ion battery 锂离子电池的预测与健康监测

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984090

Yinjiao Xing, Q. Miao, K. Tsui, M. Pecht

引用次数: 42

Studying on influencing factors of Fretting fatigue life of aluminum alloy 影响铝合金微动疲劳寿命的因素研究

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984109

Maosheng Yang, Yuquan Bi, Y. Chen, Li Xu

引用次数: 0

HoneyGen: An automated honeytokens generator HoneyGen:一个自动蜂蜜令牌生成器

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984063

Maya Bercovitch, Meir Renford, Lior Hasson, A. Shabtai, L. Rokach, Y. Elovici

{"title":"HoneyGen: An automated honeytokens generator","authors":"Maya Bercovitch, Meir Renford, Lior Hasson, A. Shabtai, L. Rokach, Y. Elovici","doi":"10.1109/ISI.2011.5984063","DOIUrl":"https://doi.org/10.1109/ISI.2011.5984063","url":null,"abstract":"Honeytokens are artificial digital data items planted deliberately into a genuine system resource in order to detect unauthorized attempts to use information. The honeytokens are characterized by properties which make them appear as genuine data items. Honeytokens are also accessible to potential attackers who intend to violate an organization's security in an attempt to mine information in a malicious manner. One of the main challenges in generating honeytokens is creating data items that appear as real and that are difficult to distinguish from real tokens. In this paper we present “HoneyGen” - a novel method for generating honeytokens automatically. HoneyGen creates honeytokens that are similar to the real data by extrapolating the characteristics and properties of real data items. The honeytoken generation process consists of three main phases: rule mining in which various types of rules that characterize the real data are extracted from the production database; honeytoken generation in which an artificial relational database is generated based on the extracted rules; and the likelihood rating in which a score is calculated for each honeytoken based on its similarity to the real data. A Turing-like test was performed in order to evaluate the ability of the method to generate honeytokens that cannot be detected by humans as honeytokens. The results indicate that participants were unable to distinguish honeytokens having a high likelihood score from real tokens.","PeriodicalId":220165,"journal":{"name":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117328022","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: 72

Study on distributions of fatigue crack-nucleating particle sizes and cracks formation in aluminum alloy 铝合金疲劳裂纹成核颗粒尺寸分布及裂纹形成研究

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984108

Y. Chen, G. Bian, Lin Yi, Jianjun Hu

引用次数: 0

Extended approximate string matching algorithms to detect name aliases 扩展近似字符串匹配算法来检测名称别名

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984085

Muniba Shaikh, N. Memon, U. Wiil

引用次数: 14

Trojan characteristics analysis based on Stochastic Petri Nets 基于随机Petri网的木马特征分析

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984084

He Gao, Yuanzhuo Wang, Li Wang, Li Liu, Jinming Li, Xueqi Cheng

引用次数: 5

Proactive defense for evolving cyber threats 主动防御不断演变的网络威胁

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984062

R. Colbaugh, K. Glass

{"title":"Proactive defense for evolving cyber threats","authors":"R. Colbaugh, K. Glass","doi":"10.1109/ISI.2011.5984062","DOIUrl":"https://doi.org/10.1109/ISI.2011.5984062","url":null,"abstract":"There is significant interest to develop proactive approaches to cyber defense, in which future attack strategies are anticipated and these insights are incorporated into defense designs. This paper considers the problem of protecting computer networks against intrusions and other attacks, and leverages the coevolutionary relationship between attackers and defenders to derive two new methods for proactive network defense. The first method is a bipartite graph-based machine learning algorithm which enables information concerning previous attacks to be “transferred” for application against novel attacks, thereby substantially increasing the rate with which defense systems can successfully respond to new attacks. The second approach involves exploiting basic threat information (e.g., from cyber security analysts) to generate “synthetic” attack data for use in training defense systems, resulting in networks defenses that are effective against both current and (near) future attacks. The utility of the proposed methods is demonstrated by showing that they outperform standard techniques for the task of detecting malicious network activity in two publicly-available cyber datasets.","PeriodicalId":220165,"journal":{"name":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121534387","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: 50

Research on numerical analysis for color matching in textile dyeing based on least square Fitting 基于最小二乘拟合的纺织染色配色数值分析研究

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI: 10.1109/ISI.2011.5984099

Bingsen Zhang, Yongchang Zhang, Houjun Yang, Xiaojie Liu, A. Zhang, Zhongwen Zhang

引用次数: 4