EAI Endorsed Trans. Security Safety最新文献_第10页

A Deep Learning Approach for Network Intrusion Detection System 一种网络入侵检测系统的深度学习方法

EAI Endorsed Trans. Security Safety Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262516

A. Javaid, Quamar Niyaz, Weiqing Sun, Mansoor Alam

引用次数: 848

Identity Deception and Game Deterrence via Signaling Games 基于信号博弈的身份欺骗与博弈威慑

EAI Endorsed Trans. Security Safety Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262519

W. Casey, Parisa Memarmoshrefi, Ansgar Kellner, J. Morales, B. Mishra

{"title":"Identity Deception and Game Deterrence via Signaling Games","authors":"W. Casey, Parisa Memarmoshrefi, Ansgar Kellner, J. Morales, B. Mishra","doi":"10.4108/eai.3-12-2015.2262519","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262519","url":null,"abstract":"Maintenance and verication of persistent identities is an \u0000 \u0000important problem in the area of networking. Particularly, \u0000 \u0000their critical roles in Wireless Ad-hoc networks (WANETs) \u0000 \u0000have become even more prominent as they begin to be deployed \u0000 \u0000in several application domains. In these contexts, \u0000 \u0000Sybil attacks, making use of replicated deceptive identities, \u0000 \u0000represent a major challenge for the designers of these networks. \u0000 \u0000Inspired by biological models of ant colonies and \u0000 \u0000their dynamics studied via information asymmetric signaling \u0000 \u0000games, we propose an architecture that can withstand Sybil \u0000 \u0000attacks, similar to ants, using complex chemical signaling \u0000 \u0000systems and associated physical actions, naturally `authenticate' \u0000 \u0000colony members. Here, we present a biomimetic authentication \u0000 \u0000protocol with mechanisms similar to the physical \u0000 \u0000processes of chemical diusion, and formalize approaches \u0000 \u0000to tame the deceptive use of identities; we dub the resulting \u0000 \u0000game anidentity management signaling game\". To consider \u0000 \u0000network system of nodes, pursuing non-cooperative and deceptive \u0000 \u0000strategies, we develop an evolutionary game system \u0000 \u0000allowing cooperative nodes to mutate deceptive strategies. \u0000 \u0000We empirically study the dynamics using simulation experiments \u0000 \u0000to select the parameters which aect the overall behaviors. \u0000 \u0000Through experimentation we consider how an in- \u0000 \u0000centive package in the form of a shared database can impact \u0000 \u0000system behavior.","PeriodicalId":335727,"journal":{"name":"EAI Endorsed Trans. Security Safety","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126165615","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

Proposing Multimodal Integration Model Using LSTM and Autoencoder 利用LSTM和自编码器提出多模态集成模型

EAI Endorsed Trans. Security Safety Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262505

Wataru Noguchi, H. Iizuka, Masahito Yamamoto

{"title":"Proposing Multimodal Integration Model Using LSTM and Autoencoder","authors":"Wataru Noguchi, H. Iizuka, Masahito Yamamoto","doi":"10.4108/eai.3-12-2015.2262505","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262505","url":null,"abstract":"We propose an architecture of neural network that can learn and integrate sequential multimodal information using Long Short Term Memory. Our model consists of encoder and decoder LSTMs and multimodal autoencoder. For integrating sequential multimodal information, firstly, the encoder LSTM encodes a sequential input to a fixed range feature vector for each modality. Secondly, the multimodal autoencoder integrates the feature vectors from each modality and generate a fused feature vector which contains sequential multimodal information in a mixed form. The original feature vectors from each modality are re-generated from the fused feature vector in the multimodal autoencoder. The decoder LSTM decodes the sequential inputs from the regenerated feature vector. Our model is trained with the visual and motion sequences of humans and is tested by recall tasks. The experimental results show that our model can learn and remember the sequential multimodal inputs and decrease the ambiguity generated at the learning stage of LSTMs using integrated multimodal information. Our model can also recall the visual sequences from the only motion sequences and vice versa.","PeriodicalId":335727,"journal":{"name":"EAI Endorsed Trans. Security Safety","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127109714","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: 2

Investigating the Learning Phase of an Autonomous Authentication in Mobile Ad-hoc Networks 移动Ad-hoc网络中自主认证学习阶段的研究

EAI Endorsed Trans. Security Safety Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262465

Han Zhang, Parisa Memarmoshrefi, Fatemeh Ashrafi, D. Hogrefe

引用次数: 2

Evaluation of Cryptography Usage in Android Applications Android应用程序中加密使用的评估

EAI Endorsed Trans. Security Safety Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262471

Alexia Chatzikonstantinou, Christoforos Ntantogian, Georgios Karopoulos, C. Xenakis

引用次数: 42

Evaluating the impact of eDoS attacks to cloud facilities 评估ddos攻击对云设施的影响

EAI Endorsed Trans. Security Safety Pub Date : 2016-01-04 DOI: 10.4108/eai.14-12-2015.2262650

Gian-Luca Dei Rossi, M. Iacono, A. Marin

{"title":"Evaluating the impact of eDoS attacks to cloud facilities","authors":"Gian-Luca Dei Rossi, M. Iacono, A. Marin","doi":"10.4108/eai.14-12-2015.2262650","DOIUrl":"https://doi.org/10.4108/eai.14-12-2015.2262650","url":null,"abstract":"The complexity of modern cloud facilities requires attentive management policies that \u0000 \u0000should encompass all aspects of the system. Security is a critical issue, as intrusions, misuse or denial of service attacks may damage both the users and the cloud provider including its reputation on the market. Disruptive attacks happen fast, cause evident and short term damages and are usually the result of operations that are hard to disguise. On the other hand, Energy oriented Denial of Service (eDoS) attacks aim at producing continuous minor damages, eventually with long term consequences. These long lasting attacks are difficult to detect. In this paper we model and analyse the behaviour of a system under eDoS attack. We study the impact in terms of cloud energy consumption of an attack strategy previously proposed in the literature and compare it with other strategies that we propose. Our findings show that the strategy previously proposed in the literature, based on keeping the cloud close to saturation, is not optimal (from the point of view of the attacker) in presence of non-constant workload and that there is a trade-off between the aggressiveness of the attacker and the duration of the attack in order to maximise the damage.","PeriodicalId":335727,"journal":{"name":"EAI Endorsed Trans. Security Safety","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123257347","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

Protecting Encryption Keys in Mobile Systems Against Memory Errors 保护移动系统中的加密密钥防止内存错误

EAI Endorsed Trans. Security Safety Pub Date : 2016-01-04 DOI: 10.4108/eai.14-12-2015.2262698

Jianing Zhao, P. Kemper

引用次数: 1

Reliability Analysis with Dynamic Reliability Block Diagrams in the Möbius Modeling Tool 利用Möbius建模工具中的动态可靠性方框图进行可靠性分析

EAI Endorsed Trans. Security Safety Pub Date : 2016-01-04 DOI: 10.4108/eai.14-12-2015.2262723

K. Keefe, W. Sanders

引用次数: 7

Safer Interactive Medical Device Design: Insights from the CHI+MED Project 更安全的交互式医疗设备设计:来自CHI+MED项目的见解

EAI Endorsed Trans. Security Safety Pub Date : 2015-12-22 DOI: 10.4108/EAI.14-10-2015.2261752

P. Curzon, A. Blandford, H. Thimbleby, A. Cox

引用次数: 11

Separated Control and Data Stacks to Mitigate Buffer Overflow Exploits 分离控制和数据栈，以减轻缓冲区溢出漏洞

EAI Endorsed Trans. Security Safety Pub Date : 2015-10-05 DOI: 10.4108/eai.5-10-2015.150477

C. Kugler, Tilo Müller

引用次数: 2