DISCUSSION REPLY

DISCUSSION 1

As the world gets more connected, enterprises are getting more and more sophisticated and faster at serving their customers. Everything is moving closer to real-time, point of transaction-driven technology. In this era of fast-paced communication, data-driven decision making, one of the most powerful and prominent pieces of technology which powers the modern cloud architecture is a network. The fast speed of LAN/Wi-fi and high-speed fiber-optic networks including 4G and 5G bandwidth have allowed for advanced enterprise applications to boost productivity and improve overall network well-being and availability. If I was to select the three most prominent and fast emerging enterprise network applications or areas, I would start with cloud networking, I/O Virtualization , and hardware authenticaiton. 

Virtualization has enabled the computing endpoint infrastructure to be disintegrated into simple access as and when you want the system. Virtualization and sword serve tech are turning dense computing power into a simple form factor of scalability, available at the power of a click. With the advancement in data centers, distributed data storage systems, and an overall increase in cloud computing, virtualization allows the utilization of advanced techniques to perform load balancing, multi-tenant network management, and explosive computing calculation power. I/O virtualization is based on a single approach, the route is virtualized between the actual server and any connected devices allowing it to share the IT infrastructure at the virtual machine. I/O virtualization allows the use of shared hardware infrastructure through adapters and switches and allows virtualized memory locations and access to a plethora of vast resources available on the network. (Lau H.C, 2001)

The next big thing is the advancement of 5G network technology. The fifth generation of wireless data exchange brings about the fastest possible internet and connectivity speeds at the access of our fingertips. It’s going to enable us to access data and connect with ultra-low latency, increased network availability in shorter distances, and higher reliability. The peak data speeds will increase five to ten folds of what they used to be a few years back in the 3G infrastructure and will allow a whole new level of real-time data processing capabilities. Imagine you won’t need a computer because any device can access the fastest supercomputers on the 5G network and transmit gigabytes of data in milliseconds. The possibilities unlocked by 5G will be endless!

 My last choice for one of the advanced enterprise network application is the inclusion of hardware authentication for users. Using dedicated physical devices at endpoints and biographical information such as fingerprints, eyes and facial features we are able to improve the accuracy of connecting a digital user with his physical characteristics and therefore prevent fraud and identity theft. Hardware authentication including device ID verification and other techniques are improving overall network viability and safety for all users and is encouraging to see more development in that space for cybersecurity (Scherchenn, 2012)

DISCUSSION. 2

Hardware Authentication

The proliferation of mobile computing devices, removable storage media, hardware tokens, and web of Things (IoT) hardware has increased the accessible choices for cyber-attackers to aim to realize access to user credentials, in person classifiable data (PII), belongings, and alternative high-value knowledge – to mention nothing of the opportunities to use terminus devices for gaining unauthorized entry to networks for any variety of functions.

A technological response to the present the challenge comes within the variety of hardware authentication, whereby distinctive identifiers could also be coded into the hardware itself – in essence giving every device its own digital fingerprint. Chipsets and computer code can also have security mechanisms inbuilt, sectionalize a tool to be used as a part of a multi-factor authentication method.

So, good phone or smart token holder may, for instance, be needed to supply a username and watchword, their device with its distinctive symbol, and/or one amongst their own biometry (fingerprint, voice, facial scan, etc.).

Endpoint devices are being written into security frameworks, with terminus detection and response (EDR) solutions with connected tools capable of recording network and terminus events, or storing data domestically on endpoints for comparison with databases of celebrated indicators of compromise (IOC).

Preventing Data Loss

The stealing or loss of sensitive info, the interception or corruption of unprotected information streams, and also the compromise of information archives could represent as huge a loss to the enterprise security as a malware infection or Denial of Service (DoS) attack. thus techniques and technologies for conserving information integrity and preventing information losses area unit extremely valued.

Authentication and encoding area unit the prime movers here. sturdy encoding will make sure that, even though Associate in Nursing assaulter gains access to big info, their probabilities of deciphering and monetizing it area unit severely reduced. information will be protected all the way down to field or character levels, and with the most recent encoding algorithms and technologies, information transmissions will be processed and analyzed in their protected type, reducing its risk and exposure (John P. Mello Jr. (2016, March 4).

Fool-proof authentication strategies area unit essential in protective encoding keys and their safe transmission – and advances in token-based and identity verification protocols area unit enhancing this protection.

User Behavior Analytics (UBA)

The means within which users move with their systems and devices (pressures exerted on a keyboard, swipe patterns on a touchscreen, applications generally opened, habitual orthography errors, etc.) maybe identifiers as distinctive and private as physical biometry – and user behavior analytics or UBA technology takes advantage of this.

Behavior profiles are also engineered up from observations of past activities, additionally to a comparison with the actions typical of these within the same pay grade, department, or workgroup as a selected user (known as “peer analysis”). UBA might also function as a tool in a company security coaching, establishing benchmark levels of acceptable behavior.

Systems deploying UBA techniques area unit higher placed to red flag anomalous/malicious behaviors – the sort that deviates from what would usually be expected of recognized and approved users.

A UBA system that’s established a “situation normal” analytic and archive of behaviors from its approved user base is during a position to additional quickly establish the activity of a user (such as a winning hacker) whose credentials may match those of somebody recognized, however whose future actions on the network prove suspicious.

Behavioral analysis will extend on the far side the non-public to incorporate the behavior of processes and systems (the “entities” concerned in deep learning). This expands the scope of UBA into the realm of user and entity activity analytics (UEBA), which takes users, endpoints, applications, and full networks into consideration. Co-ordinating analysis across the varied entities will increase analytical accuracy and improves the effectiveness of threat detection.

UBA and UEBA area unit thought about because the organic process next step for security information/event management (SIEM), with the last word aim of having the ability to predict the incidence of a security breach before it happens, supported abnormal user or system behaviors.