Proceedings of the 11th International Conference on Security of Information and Networks最新文献_第2页

Development of method for malware classification based on statistical methods and an extended set of system calls data 基于统计方法和扩展的系统调用数据集的恶意软件分类方法的开发

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264478

L. Babenko, Alexey Kirillov

引用次数: 3

A mathematical model of the cryptosystem based on the linear Diophantine equation 基于线性丢番图方程的密码系统数学模型

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264464

V. Osipyan, K. I. Litvinov

引用次数: 1

Floating Genesis Block Enhancement for Blockchain Based Routing Between Connected Vehicles and Software-defined VANET Security Services 基于区块链的互联车辆和软件定义VANET安全服务之间路由的浮动创世纪块增强

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264463

A. Busygin, A. S. Konoplev, M. Kalinin, D. Zegzhda

引用次数: 11

Linear and Differential Analysis of Simplified Kuznyechik Cipher 简化库兹涅奇克密码的线性和微分分析

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264490

E. Ishchukova, M. Anikeev, V. Salmanov, O. Shamilyan

引用次数: 1

Development of the Methodology for Testing the Security of Group Management System for Mobile Robots 移动机器人群管理系统安全性测试方法的研究

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264482

E. Basan, O. Makarevich, A. Stepenkin

引用次数: 2

Secure Data Aggregation in WSNs: A Two Level Framework 无线传感器网络中的安全数据聚合:一个两级框架

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264485

Vishnu Kumar, R. Shekhawat, M. Bohra

{"title":"Secure Data Aggregation in WSNs: A Two Level Framework","authors":"Vishnu Kumar, R. Shekhawat, M. Bohra","doi":"10.1145/3264437.3264485","DOIUrl":"https://doi.org/10.1145/3264437.3264485","url":null,"abstract":"Energy efficiency is an important issue in wireless sensor networks; clustering of nodes and sensor data aggregation are popular techniques to address the issue. Sensors generate sensitive data in many applications and thus methods to secure the data so as to prevent easy access by unauthorized agents are essential. Security against false data injection or data tampering can be provided through encryption of sensor data; but it increases load on processing. Securing data, however, puts a burden on the node battery. Data aggregation aims both at data reduction so as to spend less time for encryption as well as reduce transmission load, but demanding additional processing at aggregating node. Thus, aggregation and security are contradictory solutions. The dilemma can be resolved by allowing targeted malleability of encrypted data through homomorphic encryption. The recent research works recommend schemes which use homomorphic MACs, signatures and a blend of private and public cryptography to achieve the purpose. This paper proposes a generalized framework which will be more secure in aspects of secure data aggregation and security of data which include the data privacy and detection of tampering data through homomorphic primitive.","PeriodicalId":130946,"journal":{"name":"Proceedings of the 11th International Conference on Security of Information and Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122184840","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

Big Data Analytics Architecture for Security Intelligence 面向安全智能的大数据分析架构

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264474

A. Dauda, Scott Mclean, Abdulaziz Almehmadi, K. El-Khatib

引用次数: 3

Solving the trust issues in the process of transportation of dangerous goods by using blockchain technology 利用区块链技术解决危险品运输过程中的信任问题

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264470

Adnan Imeri, C. Feltus, D. Khadraoui, N. Agoulmine, D. Nicolas

引用次数: 8

How Dangerous Permissions are Described in Android Apps' Privacy Policies? Android应用程序隐私政策中描述的危险权限有多严重?

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264477

Rawan Baalous, R. Poet

{"title":"How Dangerous Permissions are Described in Android Apps' Privacy Policies?","authors":"Rawan Baalous, R. Poet","doi":"10.1145/3264437.3264477","DOIUrl":"https://doi.org/10.1145/3264437.3264477","url":null,"abstract":"Google requires Android apps which handle users' personal data such as photos and contacts information to post a privacy policy which describes comprehensively how the app collects, uses and shares users' information. Unfortunately, while knowing why the app wants to access specific users' information is considered very useful, permissions screen in Android does not provide such pieces of information. Accordingly, users reported their concerns about apps requiring permissions that seem to be not related to the apps' functions. To advance toward practical solutions that can assist users in protecting their privacy, a technique to automatically discover the rationales of dangerous permissions requested by Android apps, by extracting them from apps' privacy policies, could be a great advantage. However, before being able to do so, it is important to bridge the gap between technical terms used in Android permissions and natural language terminology in privacy policies. In this paper, we recorded the terminology used in Android apps' privacy policies which describe usage of dangerous permissions. The semi-automated approach employs NLP and IE techniques to map privacy policies' terminologies to Android dangerous permissions. The mapping links 128 information types to Android dangerous permissions. This mapping produces semantic information which can then be used to extract the rationales of dangerous permissions from apps' privacy policies.","PeriodicalId":130946,"journal":{"name":"Proceedings of the 11th International Conference on Security of Information and Networks","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132599466","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: 11

Towards Profiling Program Instances in Host-Based Intrusion Detection Systems by Recognizing Software Update Patterns 基于软件更新模式识别的主机入侵检测系统程序实例分析

Proceedings of the 11th International Conference on Security of Information and Networks Pub Date : 2018-09-10 DOI: 10.1145/3264437.3264486

Lauri Koivunen, Sampsa Rauti, V. Leppänen

引用次数: 0