2011 7th International Conference on Information Assurance and Security (IAS)最新文献_第6页

A fast eavesdropping attack against touchscreens 针对触摸屏的快速窃听攻击

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122840

F. Maggi, Simone Gasparini, G. Boracchi

引用次数: 81

Understanding vulnerabilities by refining taxonomy 通过细化分类法来理解漏洞

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122789

Nurul Haszeli Ahmad, S. A. Aljunid, J. Manan

引用次数: 2

On the capacity of fingerprinting codes against unknown size of colluders 针对未知大小的共谋者的指纹识别能力

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122825

G. Hosoya, H. Yagi, Manabu Kobayashi, S. Hirasawa

引用次数: 0

Reversible watermarking using Residue Number System 利用剩余数系统进行可逆水印

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122813

Atta-ur-Rahman, M. T. Naseem, I. Qureshi, M. Z. Muzaffar

引用次数: 15

Energy efficient delay leap routing in multicast using feed back neural networks 基于反馈神经网络的组播节能延迟跳跃路由

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122828

Mohammad Uruj Jaleel, Mohammad Asghar Jamil, Kashiful Haq

{"title":"Energy efficient delay leap routing in multicast using feed back neural networks","authors":"Mohammad Uruj Jaleel, Mohammad Asghar Jamil, Kashiful Haq","doi":"10.1109/ISIAS.2011.6122828","DOIUrl":"https://doi.org/10.1109/ISIAS.2011.6122828","url":null,"abstract":"The Hopfield Neural Network is a parallel, distributed information processing structure consisting of many processing elements connected via weighted connections. The objective function was then expressed as quadratic energy function and the associated weights between neurons were computed using the gradient descent of energy function. This paper reports a development of a Hopfield type neural network model to solve minimum cost delay leap multicast routing problem. The multicast tree is obtained by recursively obtaining the delay leap optimized path from source to various destinations and combining them by union operator. The union operator ensures that a link is appearing only once in the multicast tree. The minimum energy function is obtained with minimization of constrained parameter as per a defined annealing schedule, which increases the probability of visiting lower energy states. Finally, the goal of minimization of objective function (minimum cost delay leap route) is achieved by using mean filed approximation with stochastic annealing process of reducing constrained parameter.","PeriodicalId":139268,"journal":{"name":"2011 7th International Conference on Information Assurance and Security (IAS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134488617","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

Hybrid of rough set theory and Artificial Immune Recognition System as a solution to decrease false alarm rate in intrusion detection system 将粗糙集理论与人工免疫识别系统相结合，降低入侵检测系统的虚警率

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122808

Fatin Norsyafawati Mohd Sabri, N. Norwawi, K. Seman

{"title":"Hybrid of rough set theory and Artificial Immune Recognition System as a solution to decrease false alarm rate in intrusion detection system","authors":"Fatin Norsyafawati Mohd Sabri, N. Norwawi, K. Seman","doi":"10.1109/ISIAS.2011.6122808","DOIUrl":"https://doi.org/10.1109/ISIAS.2011.6122808","url":null,"abstract":"Denial of Service (DoS) attacks is one of the security threats for computer systems and applications. It usually make use of software bugs to crash or freeze a service or network resource or bandwidth limits by making use of a flood attack to saturate all bandwidth. Predicting a potential DOS attacks would be very helpful for an IT departments or managements to optimize the security of intrusion detection system (IDS). Nowadays, false alarm rates and accuracy become the main subject to be addressed in measuring the effectiveness of IDS. Thus, the purpose of this work is to search the classifier that is capable to reduce the false alarm rates and increase the accuracy of the detection system. This study applied Artificial Immune System (AIS) in IDS. However, this study has been improved by using integration of rough set theory (RST) with Artificial Immune Recognition System 1 (AIRS1) algorithm, (Rough-AIRS1) to categorize the DoS samples. RST is expected to be able to reduce the redundant features from huge amount of data that is capable to increase the performance of the classification. Furthermore, AIS is an incremental learning approach that will minimize duplications of cases in a knowledge based. It will be efficient in terms of memory storage and searching for similarities in Intrusion Detection (IDS) attacks patterns. This study use NSL-KDD 20% train dataset to test the classifiers. Then, the performances are compared with single AIRS1 and J48 algorithm. Results from these experiments show that Rough-AIRS1 has lower number of false alarm rate compared to single AIRS but a little bit higher than J48. However, accuracy for this hybrid technique is slightly lower compared to others.","PeriodicalId":139268,"journal":{"name":"2011 7th International Conference on Information Assurance and Security (IAS)","volume":"97 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133749917","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: 10

Preventing data leakage in service orchestration 防止业务流程数据泄露

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122806

Thomas Demongeot, Eric Totel, Yves Le Traon

{"title":"Preventing data leakage in service orchestration","authors":"Thomas Demongeot, Eric Totel, Yves Le Traon","doi":"10.1109/ISIAS.2011.6122806","DOIUrl":"https://doi.org/10.1109/ISIAS.2011.6122806","url":null,"abstract":"Web Services are currently the base of a lot a e-commerce applications. Nevertheless, clients often use these services without knowing anything about their internals. Moreover, they have no clue about the use of their personal data inside the global applications. In this paper, we offer the opportunity to the user to specify constraints on the use of its personal data. To ensure the privacy of data at runtime, we define a distributed security policy model. This policy is configured at runtime by the user of the BPEL program. This policy is enforced within a BPEL interpreter, and ensures that no information flow can be produced from the user data to unauthorized services. However, the dynamic aspects of web services lead to situations where the policy prohibits the nominal operation of orchestration (e.g., when using a service that is unknown by the user). To solve this problem, we propose to let user to dynamically permit exceptional unauthorized flows. In order to make decision, the user is provided with all information necessary for decision-making. We also present an implementation inside the Orchestra BPEL interpreter. As far as we know this implementation is the first information flow monitor for web services that is also end-user configurable.","PeriodicalId":139268,"journal":{"name":"2011 7th International Conference on Information Assurance and Security (IAS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133954821","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

A SLA-based interface for security management in cloud and GRID integrations 用于云和GRID集成中的安全管理的基于sla的接口

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122783

M. Rak, L. Liccardo, Rocco Aversa

引用次数: 27

A novel intrusion detection framework for Wireless Sensor Networks 一种新的无线传感器网络入侵检测框架

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122778

M. Rassam, M. A. Maarof, A. Zainal

引用次数: 21

Key based bit level genetic cryptographic technique (KBGCT) 基于密钥的位级遗传密码技术(KBGCT)

2011 7th International Conference on Information Assurance and Security (IAS) Pub Date : 2011-12-01 DOI: 10.1109/ISIAS.2011.6122826

S. Som, Niladri Shekhar Chatergee, J. K. Mandal

引用次数: 14