With the emergence of advanced sustainability attacks and the increasing sophistication of malware, organizations are in dire need of a flexible technology and solution that breaks away from the traditional information security assurance paradigm in order to deal with the ever-changing security threats of the future. Big Data has revolutionized the information security industry, and an intelligence-driven security strategy based on big data analytics will help information security practitioners regain the advantage of vigilance and time to better enable them to detect and defend against advanced cyber threats.
Challenges to information security in the era of big data
In the era of big data, ubiquitous smart terminals, online network transmissions at any time, and social networks with frequent interactions have made the Internet generate massive amounts of data at all times. As the amount of data generated, stored, and analyzed grows larger and larger, there is a large amount of economic and political interests hidden behind these massive data. Big data is like a double-edged sword, while we enjoy the precise information brought by big data analysis, the security problems it brings are also starting to become a hidden danger for enterprises.
1, hackers more significant attack target: In cyberspace, big data is more likely to be "found" big target. On the one hand, big data means huge amounts of data, but also means more complex and sensitive data, which will attract more potential attackers. On the other hand, the large amount of data collection, so that hackers can successfully attack once to get more data, invariably reducing the cost of hacking attacks, increasing its "yield".
2. Increased risk of privacy leakage: The aggregation of large amounts of data inevitably increases the risk of user privacy leakage. On the one hand, the centralized storage of data increases the risk of leakage, and these data are not abused, but also become part of personal security. On the other hand, the ownership and use of some sensitive data is not clearly defined, and many big data-based analytics do not take into account the individual privacy issues involved.
3. Threaten existing storage and protection measures: Big data storage brings new security issues. The consequences of data centralization is complex and diverse data stored together, it is likely that some production data will be placed in the operating data storage location, resulting in non-compliance with enterprise security management. The size of big data also affects whether security controls can operate correctly. The speed of updating and upgrading security protection means can not keep up with the pace of non-linear growth in the amount of data, it will expose the vulnerability of big data security protection.
4, big data technology has become a hacker's means of attack: in the enterprise with data mining and data analysis and other big data technology to obtain business value at the same time, hackers are also using these big data technology to launch attacks on enterprises. Hackers maximize the collection of more useful information, such as social networks, emails, microblogs, e-commerce, phone numbers and home addresses, etc. Big data analytics enable hackers to be more precise in their attacks. In addition, big data also provides more opportunities for hackers to launch attacks. Hackers using big data to launch botnet attacks may be able to control millions of puppet machines and launch attacks at the same time.
5. Become the carrier of advanced sustainable attacks: traditional detection is based on a single point in time for real-time matching detection based on threat characteristics, while advanced sustainable attacks (APT) is an implementation process that can not be detected in real time. In addition, the low-density nature of value in big data makes it difficult for security analytics tools to focus on points of value, and hackers can hide attacks in big data, creating great difficulty for security service providers to analyze. Any attack set up by a hacker that would mislead the security vendor's target information extraction and retrieval would cause security monitoring to deviate from its proper direction.
6, the information security industry is facing changes: the arrival of big data has also brought new opportunities for the development of the information security industry, has not yet realized the change in the security vendors will be abandoned in this tide of change. Big data is providing new possibilities for security analysis, in the future security architecture system, through the big data intelligent analysis of the original partition of the security products effectively better integration, to become a different security intelligence node, which will be in the era of big data security industry needs to research breakthroughs in the focus.
Outlook for future trends in big data security
According to MacDonald's prediction, by 2016, 40% of enterprises (banking, insurance, pharmaceuticals, and defense industries predominantly) will be actively analyzing at least 10 terabytes of data to identify potentially dangerous activities. However, the vendor product landscape cannot be transformed anytime soon. Right now, organizations typically rely on SIEM systems to correlate and analyze security-related data, and MacDonald said that current SIEM products can't handle such a large workload, with most SIEM products offering near-real-time data but only processing normalized data, and others capable of processing large amounts of raw transactional data but not providing real-time intelligence information.
Analysts at Gartner say that using "big data" to improve enterprise information security is not just hype, it will become a reality in the next few years. Big Data will bring new ways of working to security teams, and by understanding the benefits of Big Data, setting realistic goals, and leveraging the strengths of existing security technologies, security executives will find their investment in Big Data worthwhile.
Hu Jun, General Manager of RSA Greater China, said, "Big Data will drive a directional change in the security industry, with security and data influencing each other, and the future *** with the promotion of development. Today's security requires more comprehensive and extensive visibility, agile analytics, actionable intelligence and scalable infrastructure."
As we can see, big data security has become an unstoppable trend. In the future, whether from the perspective of business needs, or from the perspective of industrial technology, big data security will become the hot spot of the industry's attention. And in this feast of big data security, there will inevitably be new and old, push the new, all this let us wait and see!