
The Internet of Things (IoT) is rapidly changing the world around us – disrupting and transforming various industries and areas of business. In many instances, that’s a good thing. Unfortunately, in terms of security, we aren’t entirely ready, and the risk of attack is real. IoT is being exploited with increasing frequency, a worrying situation for both enterprises and consumers. They are in desperate need for insights to predict when the products or the technologies they use will end up being attacked. The threat surface has now opened exponentially, revealing numerous vulnerabilities and opportunities for unwelcomed malicious threats and attacks.
A recent survey by IT security firm ESET and the National Cyber Security Alliance revealed 40 percent of respondents in the US expressed no confidence in their devices being safe, secure or private. It has become clear from the rising frequency of attacks that security is finding it harder to keep up with the pace of the innovation and the increasingly integrated network connections into critical infrastructure. More defence practices are needed, and clear directions to ways that help fend off attacks on IoT systems are needed.
The severity of the damage a hacker could inflict on a driverless car, or on transport drones, or even in business messages is a reality we can no longer overlook.
The dependency on network-connected technologies is very much outpacing the means to secure them even more so as we increasingly rely on them to improve every-day activities, from self-driving cars to the control systems that deliver water and power to houses. Therefore, securing the Internet of Things needs to be close to, if not the number one priority for both government and businesses at large to mitigate and take charge of before it spirals further out of control or a tragedy occurs.
In terms of businesses, they need to implement cyber operations from a defensive and perhaps even an offensive perspective to protect their clients and data. The threat is global. Nations from first world or third world aren’t spared from being attacked, irrespective of the language barrier.
The enterprise IoT, big data and machine learning initiatives can be delayed, fail, or risk security breach unless the most mature and tightly integrated platform is used. Even so, there’s no single solution that can completely secure the IoT environment. What businesses can do to tackle the issue of IoT security is by taking a wide-angle view and incorporate different security strategies and concepts. For example, IoT security typically requires the monitoring of enormous amounts of physical devices, connections, authentication, and data transfer, thus having the capability to intelligently collect security event data and sift through enormous data sets is crucial.
A recent Forrester report on IoT Security said, “IoT security means watching at least 10 times, if not 100 times, as many physical devices, connections, authentication, and data transfer events as today. Having strong security event data collection capabilities and the ability to intelligently sift through enormous data sets will be crucial to the security of IoT-enabled systems.”
It has become clear that the boundaries of our security measures have expanded and we need to go beyond what used to be to make sure all these new edge devices are protected. To keep up with the scale that IoT is expanding, will require a combination of machine intelligence with platform scale to detect IoT threats.
Here is where companies like Cloudera are able to assist by providing fast, easy, secure data management and analytics platform that allows organisations to not only analyse and derive value from all of the IoT sensor data that is generated, but also ingest, store, access, and evaluate hundreds of billions of security events through a modern, future-proof architecture. With such capabilities, the enterprise will benefit from increased agility and decreased risk. Their primary goal is in making multi-disciplinary analytics workloads run securely, smoothly and efficiently whether in the cloud or on-premise, backed by their Shared Data Experience. With SDX, it’s easier for enterprises to efficiently deploy and manage their multi-disciplinary IoT, big data and machine learning applications.
By applying machine learning to data at scale, enterprises are able to perform anomaly detection to discover new and advanced attacks, including IoT-based attacks. To protect themselves against risk of future threats, organizations can harness Cloudera’s platform, built on open source innovation and a rich partner ecosystem of applications, to unlock new IoT value.


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)