2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP)最新文献

Implementation of Minimally Shared Blockchains using Big Data Applications 使用大数据应用实现最小共享区块链

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.235000

Kausthav Pratim Kalita, Debojit Boro, D. Bhattacharyya

引用次数: 1

Inter-Planetary File System Enabled Blockchain Solution For Securing Healthcare Records 用于保护医疗记录的启用星际文件系统的区块链解决方案

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.235016

Raghavendra K. Marangappanavar, K. M.

{"title":"Inter-Planetary File System Enabled Blockchain Solution For Securing Healthcare Records","authors":"Raghavendra K. Marangappanavar, K. M.","doi":"10.1109/ISEA-ISAP49340.2020.235016","DOIUrl":"https://doi.org/10.1109/ISEA-ISAP49340.2020.235016","url":null,"abstract":"The sharing of health-related data has become challenging in terms of data security which may lead to compromise patient’s privacy. Generally, once the report generated by the health provider is final, it will be uploaded to the hospital’s private repository. When it comes to the hospital as an organization, many participants [Doctor, Patient, Researcher, Insurance company] requires the report of patients for one or other reasons. Providing a single platform for all participants to share confidential data securely is a difficult and challenging task. Care should be taken such that the personal data of the patients should not be misused or tampered. Existing methods have been proved insufficient to effectively manage and secure health records. Blockchain technology, a recent research trend, has shown promising results for such secure data sharing. Since the contents of blockchain are tamper-proof, all participants can access the data but cannot change the data. By employing smart contracts and access control programs one can monitor data activity in the blockchain network. In this article, a blockchain architecture has been designed and discussed for secure and easy sharing of patient’s Personal Health Report(PHR) among the different players of health organization. Further, Inter-Planetary File System (IPFS) has also used in the proposed blockchain architecture for faster retrieval of PHR’s. We demonstrate the strengths of our proposed model, its user-centric focus and also the experimental results.","PeriodicalId":235855,"journal":{"name":"2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129749326","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: 12

Provisioning Privacy and Accountability in Participatory Sensing 参与式感知中的提供隐私和问责

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.235007

Tejendrakumar Thakur, N. Marchang

引用次数: 0

DeDOP: Deduplication with cross-server Ownership over encrypted data DeDOP:对加密数据进行跨服务器所有权的重复数据删除

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.234998

Hardik Gajera, M. Das

引用次数: 1

On the DSA Key Recovery Attack with Variable Partial Nonces Known 已知可变部分随机数的DSA密钥恢复攻击

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.235008

Jiji Angel, Virendra Singh

引用次数: 0

Graph Convolutional Networks for Android Malware Detection with System Call Graphs 基于系统调用图的Android恶意软件检测图卷积网络

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.235015

Teenu S. John, Tony Thomas, S. Emmanuel

{"title":"Graph Convolutional Networks for Android Malware Detection with System Call Graphs","authors":"Teenu S. John, Tony Thomas, S. Emmanuel","doi":"10.1109/ISEA-ISAP49340.2020.235015","DOIUrl":"https://doi.org/10.1109/ISEA-ISAP49340.2020.235015","url":null,"abstract":"Nowadays, Android malwares have risen precipitously causing critical security threats. Malware authors now employ a variety of obfuscation techniques to evade their detection. Among various features, system calls are one of the major features used for detecting malwares. Although obfuscated malwares use diverse methods to conceal their malicious nature, the dependencies between the system calls can reveal their malicious nature. The existing malware detection models do not take into account of these structural dependencies and have large feature dimensions. Modelling the system calls as graphs can help in capturing the structural dependencies between the system calls. Recently, there has been an increasing interest in extending deep learning models such as Graph Convolutional Nets (GCN) for graph data. Motivated by this, we propose a novel Android malware detection mechanism using GCN which uses centrality measures of the graph as input features. To the best of our knowledge this is the first application of GCN for dynamic Android malware detection. We achieved a four dimensional feature representation for Android applications and a detection accuracy of 92.30 % on datasets with obfuscated malwares.","PeriodicalId":235855,"journal":{"name":"2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133305584","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: 30

2SPUF: Machine Learning Attack Resistant SRAM PUF 2SPUF:抗机器学习攻击的SRAM PUF

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.235013

V. Rai, S. Tripathy, J. Mathew

{"title":"2SPUF: Machine Learning Attack Resistant SRAM PUF","authors":"V. Rai, S. Tripathy, J. Mathew","doi":"10.1109/ISEA-ISAP49340.2020.235013","DOIUrl":"https://doi.org/10.1109/ISEA-ISAP49340.2020.235013","url":null,"abstract":"Internet of Things (IoT) has grown up as an essential aspect of the modern age because it provides comfort to human life by massive connectivity of devices with greater flexibility and control. Security components in IoT systems are very crucial because the devices within the IoT system are exposed to numerous malicious attacks. Typical security components in IoT system performs authentication, authorization, message, and content integrity check. Since IoT systems are resource constraints, it becomes a bit difficult to implement traditional security mechanisms and protocols. For example, authentication is implemented using crypto module, but it is infeasible in IoT domain due to the distributed nature of IoT systems. Physical Unclonable Function (PUF) is considered to be a unique identification of a device that can not be cloned. Hence, PUFs are beneficial in IoT domain to perform basic security operations like authentication, key generation etc. However, there are some attacks proposed on various PUFs using machine learning techniques that model the challenge-response behavior. In this paper, we propose a Two Round SRAM PUF (2SPUF), which shows better resistance to machine learning modeling attacks (ML-MA). We use some well-known machine learning techniques to test ML-MA resistance of 2SPUF design. The result shows that the proposed PUF architecture has better resistance to machine learning modeling attacks.","PeriodicalId":235855,"journal":{"name":"2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP)","volume":"15 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133169938","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

ISEA-ISAP 2020 List Reviewer Page ISEA-ISAP 2020列表审查页面

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/isea-isap49340.2020.9079303

引用次数: 0

A Parallel Quad Itoh-Tsujii Multiplicative Inversion Algorithm for FPGA Platforms 一种FPGA平台上的并行四倍Itoh-Tsujii乘法反演算法

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.234996

M. Kalaiarasi, V. R. Venkatasubramani, S. Rajaram

引用次数: 4

An Approach Towards Resisting Side-Channel Attacks for Secured Testing of Advanced Encryption Algorithm (AES) Cryptochip 高级加密算法(AES)加密芯片安全测试中的抗侧信道攻击方法

2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) Pub Date : 2020-02-01 DOI: 10.1109/ISEA-ISAP49340.2020.235014

Nandi Kaushik, K. Lata

引用次数: 4