Big Data Security (ChinaNetCloud - Guiyang Conference)

Security forBig Data Systems

如何做好大数据的系统安全

By Steve MusheroMay, 2015

Running the World’s Internet Servers www.ChinaNetCloud.com

We have lots of data我们有很多数据

We get data from everything数据无处不在

From Every Part of Life 融入生活的每一部分

How to protect it ?如何保护数据

How to protect it ? Like Gold !如何像保护黄金那样去保护它

Protecting Gold – Safes保护黄金－保险箱

Protecting Gold – Vaults保护黄金－地下保险库

Protecting Gold – Banks保护黄金－银行

Protecting Gold – Forts保护黄金－地堡

Those risks were physical这些风险都是物理的

Today’s Risks are Digital当今的风险是电子化的

Gold Thieves Arrive by Car with Guns偷黄金的人是持枪驾车

Data Thieves Arrive by Cable偷数据的人是接数据线

From Anywhere从任何地方

By Anyone任何人

Data Risks ?数据风险是什么？

Types类型

Risk Types – Stolen Data风险类型－偷数据

Risk Types – Tampered Data风险类型－篡改数据

Risk Types – Privacy风险类型－隐私侵犯

Risk Areas – Collecting Data风险类型－收集数据

Risk Areas – Processing Data风险类型－处理数据

Risk Areas – Storing Data风险类型－存储数据

Risk Paths – Outsiders (Hackers)风险路径－外部（黑客）

Risk Paths – Insiders (Employees)风险路径－内部（员工）

Risk Paths – Sys Admin (Privileged Users)风险路径－系统管理 ( 特权用户）

What to do ?怎么办

Securing Data – Difficult & Frustrating安全加固数据 – 又难又麻烦

How to Secure it ?如何来办

How to Balance Security vs. Usability ?如何平衡数据安全和可用性

Usability – 可用性Features - 特点

Performance - 性能Convenience - 便捷

Security安全

Every part should be good要做好每一方面

Weakest Link最薄弱的环节

4 Security Zones4 大安全区域

Gathering收集收据

Processing Data处理数据

Storing Data存储数据

Infrastructure底层设施

Gathering收集数据

Processing Data

Storing Data

Infrastructure

Gathering & Ingesting Data收集和摄取数据

• Secure gathering 安全收集• Personal Identifying Info (PII) 个人身份信息

• Anonymisation 匿名

Data migration/ETL junctions数据迁移／ ETL 结合

• Secure Systems 安全加固系统• Process Validation 处理验证

Gathering

Processing Data处理数据

Storing Data

Infrastructure

Processing Data 处理数据

Processing Data – Two parts处理数据－ 2 个方面

• Processing Data 处理数据• Map Reduce 匹对• Consolidating 巩固• Summarizing 汇总• Usually Hadoop

• Presentation 演示• Website 网站• Report 报告• Interactive 互动

Securing Hadoop 安全加固 Hadoop

• Poor Authentication 认证环节薄弱

• Users & Services用户和服务

• No privacy 无隐私• No Integrity 不完整• Arbitrary Code Exec 代码执行武断• Exploits Exist 开发一直存在

Weg Code – OWASP Resources代码 – OWASP 项目资源

• Info - 介绍• Guides - 指引• Tools - 工具

http://owasp.org.cn

Code – OWASP Top 10代码－ 10 大应用程序风险

Key Points 要点• A1 – Injection• A2 – Auth & Session Mgmt• A3 – XSS • A7 – Function ACLs• A8 – CSRF• A9 – Insecure Components

http://owasp.org.cn

Processing Code – App Scanning处理代码－ APP 扫描

• Best practice最佳实践

• Find new problems找到新问题• As you update

更新• Third parties

第三方

• New exploits新的改进

Gathering

Processing Data

Storing Data存储数据

Infrastructure

Storing Data – Key Protection Point存储数据－重要的保护点

• Easy to Steal 容易在以下几个地方被偷窃

• From DBMS数据库管理系统• From Storage存储系统

• Privacy Also an Issue隐私也是个问题

Storing Data – Two Levels存储数据－ 2 个层面

• DBMS Level 数据库管理系统层面• Oracle, MySQL, etc.• Operational Security 运维安全• Users, Config, etc. 用户，配置等• PII Separation / Sharding PII 隔离／分片• Disk / SAN Level 磁盘／ SAN 层级• Encrypt at Rest 全部加密• Careful configuration 认真的配置

Gathering

Processing Data

Storing Data

Infrastructure底层设施

Infrastructure – Cloud & Servers底层设施－云和物理服务器

• Services 服务软件

• Servers & OS 服务器和操作系统

• Cloud 云

• Network 网络

Cloud & Servers – Love & Respect Them云和物理服务器－需要被关注

• Often forgotten经常被遗忘

• Often use defaults经常采取默认设置

• Or random Google search或用谷歌搜索配置

• Source of great danger风险的发源地

Infrastructure – Many Parts & Layers基础设施－许多层级

• Internet – 互联网

• Firewalls －防火墙

• Web/App Servers －服务器

• Database －数据库

• OS －操作系统

• Servers ／ Cloud －物理服务器／云

Firewall & WAF (Web App Firewall)WAF – 网页应用防火墙

• Protect Networks 保护网络

• Protect Application Code 保护应用代码

• OWASP basics• SQL, XSS

Under Your Application – Server & OS应用之下－服务器 & 操作系统

• Hardened OS - 加固操作系统

• Iptables - 防火墙配置

• Run Users - 用户运行

• File permissions - 文件许可

• Logging - 日志

• Scanning (ClamAV) - 扫描

• Track activity - 轨迹追踪

• Automate - 自动

• System Updates - 系统升级

Under Your Application – Cloud应用之下－云

• Best Practices - 最佳实践

• Control Access - 控制登录权限

• Can delete EVERYTHING会意外删除一切

• Use Cloud Security Features 使用公共云上的安全服务

Audit is also Important审计也很重要

Deep Check to Find Problems 深入检查 , 发现问题

Tools – Infosphere Guardium工具

Summary总结

• Security is Critically Important 安全非常重要• Big Data is Vulnerable 大数据很容易被侵入• Hard to Do Well 难以良好驾驭• But more Tools 但，实用工具越来越多• Details & Experts Help 要注重细节，并取得专家帮助！

Thank you!谢谢

Thanks from ChinaNetCloud来自云络的感谢

Pioneers in OaaS – Operations as a Service运维即服务的先锋团队

ChinaNetCloud Sales@ChinaNetCloud.com

www.ChinaNetCloud.com

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Big Data Security (ChinaNetCloud - Guiyang Conference)

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