2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)最新文献

Quantifying encircling behaviour in complex networks 复杂网络中环形行为的量化

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-09-16 DOI: 10.1109/CICYBS.2013.6597199

Piraveenan Mahendra, M. S. Uddin, K. S. Chung, D. Kasthurirathna

引用次数: 0

Resilient hybrid overlay model for smart grid: RHM for smart grid 智能电网弹性混合叠加模型:面向智能电网的RHM模型

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597205

S. Kher, V. Nutt, D. Dasgupta

引用次数: 2

Evolving OWA operators for cyber security decision making problems 针对网络安全决策问题不断发展的OWA运营商

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597200

Simon Miller, J. Garibaldi, Susan Appleby

{"title":"Evolving OWA operators for cyber security decision making problems","authors":"Simon Miller, J. Garibaldi, Susan Appleby","doi":"10.1109/CICYBS.2013.6597200","DOIUrl":"https://doi.org/10.1109/CICYBS.2013.6597200","url":null,"abstract":"Designing secure software systems is a non-trivial task as data on uncommon attacks is limited, costs are difficult to estimate, and technology and tools are continually changing. Consequently, a great deal of expertise is required to assess the security risks posed to a proposed system in its design stage. In this research we demonstrate how Evolutionary Algorithms (EAs) and Simulated Annealing (SA) can be used with Ordered Weighted Average (OWA) operators to provide a suitable aggregation tool for combining experts' opinions of individual components of an specific technical attack to produce an overall rating that can be used to rank attacks in order of salience. A set of thirty nine cyber security experts took part in an exercise in which they independently assessed a realistic system scenario. We show that using EAs and SA, OWA operators can be tuned to produce aggregations that are more stable when applied to a group of experts' ratings than those produced by the arithmetic mean, and that the difference between the solutions found by each of the algorithms is minimal. However, EAs do prove to be a quicker method of search when an equivalent number of evaluations is performed by each method.","PeriodicalId":178381,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116868141","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

Higher dimensional chaos for Audio encryption 音频加密的高维混沌

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597206

S. Babu, Ilango Paramasivam

引用次数: 12

Image visualization based malware detection 基于图像可视化的恶意软件检测

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597204

K. Kancherla, Srinivas Mukkamala

引用次数: 121

A novel hybrid-network intrusion detection system (H-NIDS) in cloud computing 基于云计算的混合网络入侵检测系统(H-NIDS

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597201

Chirag N. Modi, D. Patel

引用次数: 48

Applications of computational intelligence for static software checking against memory corruption vulnerabilities 计算智能在静态软件检查内存损坏漏洞中的应用

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597207

Marcos Álvares Barbosa Junior, T. Marwala, Fernando Buarque de Lima-Neto

引用次数: 5

Evolving indigestible codes: Fuzzing interpreters with genetic programming 进化的不可消化代码:用遗传编程模糊解释器

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597203

Sanjay Rawat, F. Duchene, Roland Groz, J. Richier

引用次数: 4

What defines an intruder? An intelligent approach 如何定义入侵者?聪明的方法

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597202

H. Lugo-Cordero, R. Guha

{"title":"What defines an intruder? An intelligent approach","authors":"H. Lugo-Cordero, R. Guha","doi":"10.1109/CICYBS.2013.6597202","DOIUrl":"https://doi.org/10.1109/CICYBS.2013.6597202","url":null,"abstract":"All attacks in a computer network begin with an intruder's action of affecting the services provided to legitimate users. Hence, intrusion detection is vital for preserving integrity, confidentiality, and availability in a computer network. Intrusion detection faces many challenges, such as the need for large amount of data to discriminate between intruders and non-intruders, and the overlapping of user behavior to that of the intruders. This paper aims to target both of these challenges, by employing a distributed intrusion prevention system based on the Binary Partitle Swarm Optimization (BPSO) and Probabilistic Neural Network (PNN) algorithms. Such a system is capable of: 1) locally classifying actions as intruder or non-intruder type, and 2) consulting neighbors for casting a majority vote, upon finding high ambiguity on a decision. The algorithm uses an evolutionary computation approach to select the best features that can help classify intruders, while using fewer amounts of data. Furthermore, the approach uses concepts from semi-supervised learning to improve and adapt over time, to any network infrastructure. To demonstrate the viability of the proposed approach, a random set of data has been selected from the KDD-99 dataset. Such a set contained capture data from both users and attackers. Results have been compared with traditional data mining algorithms from previous work, demonstrating that such a system can have high accuracy, while maintaining a low false alarm rate.","PeriodicalId":178381,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115057387","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: 3

Indoor geo-fencing and access control for wireless networks 室内地理围栏和无线网络访问控制

2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2013-04-16 DOI: 10.1109/CICYBS.2013.6597198

Hossein Rahimi, A. N. Zincir-Heywood, Bharat Gadher

{"title":"Indoor geo-fencing and access control for wireless networks","authors":"Hossein Rahimi, A. N. Zincir-Heywood, Bharat Gadher","doi":"10.1109/CICYBS.2013.6597198","DOIUrl":"https://doi.org/10.1109/CICYBS.2013.6597198","url":null,"abstract":"Having an idea of a user's location when he/she is using network services has been an area of interest ever since wireless networks became very popular. As the costs of wireless technologies decrease more and more, we observe the rise of an extremely diverse market of wireless capable devices. However, the field of indoor positioning is still wide open. In this field, most of the existing technologies are dependent on additional hardware and/or infrastructure, which increases the requirements for users. In this research, we investigate the ways of coupling indoor geo-fencing with access control including authentication and registration. To achieve this, we apply a classification based geo-fencing approach using received signal strength indicator. Consequently, we are mainly focusing on associating accurate geo-fencing with secure communication and computing. Experimental results show that we have achieved considerable positioning accuracy while providing a secure way of communication. Favouring diversity, our implementation does not mandate users to undergo any system software modification or adding new hardware components.","PeriodicalId":178381,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129879170","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