Wolves beat Nuggets 119-114 to even series at 1 apiece



Jamal Murray,Anthony Edwards

A big early deficit in Denver didn't bother the Minnesota Timberwolves, who two years ago staged the biggest Game 7 comeback in NBA history, clawing out of a 20-point hole to beat the Nuggets and advance to the Western Conference finals.

This time, they overcame a 19-point deficit, rallying past the Nuggets 119-114 on Monday night behind 30 points from Anthony Edwards and 24 from Julius Randle to tie their first-round playoff series at one game each.

“Just coming together, staying poised within those moments," Edwards said.

Jamal Murray scored 30 points for Denver, which had won 13 straight games since losing on March 18. The Nuggets jumped out to a 44-25 lead early in the second quarter only to see a potential laugher quickly turn into a head-scratcher.

After outscoring the Wolves 39-25 in the first, the Nuggets watched Minnesota flip that exact score in the second period.

“So, basically same quarters, first and second, just opposite teams,” said Nikola Jokic, who had 24 points, 15 boards and eight assists for the Nuggets.

After a slow start, Edwards looked much better than he did during his 22-point effort in Game 1, when his rust from a bum knee was apparent. This time, he drove to the basket more instead of settling for jumpers, fueling the comeback.

“He was awesome. It was unbelievable,” Timberwolves coach Chris Finch said. “Also in that (first) period when we were down, he was great on the bench. Great leadership, positive. He recognized he needed to get into attack mode and get downhill a little bit more. He did that."

Denver blew a chance to take control against its Northwest Division rival. The Nuggets are 8-0 in their history when winning the first two games of a playoff series, and the Wolves are 0-8 when dropping Games 1 and 2.

Edwards turned the ball over with 31 seconds left and Christian Braun got fouled at the other end after Jokic passed up a floater to tie it. Braun missed one of two free throws, leaving Denver trailing 115-114 with 19 seconds remaining.

Randle then sank two free throws and Donte DiVincenzo added a breakaway dunk to cap the comeback.

“I trust C.B. to make free throws,” Denver coach David Adelman said. “It rimmed out. That happens in the NBA. You're going to have moments that you don't want to remember. That's a tough moment for C.B. after playing such a good game."

Murray sank a 51-foot 3-pointer at the halftime buzzer to tie it at 64. Jokic came on strong after a quiet start, scoring 16 points in the third quarter when Denver took a 93-90 lead. But the Nuggets' All-Star duo shot a combined 2 for 12 in the fourth quarter as the Wolves evened a best-of-seven series that shifts to Minneapolis for Game 3 on Thursday night.

“I feel like we had the game in hand,” Murray said, “and then we just didn't make our shots.”

Jaden McDaniels, who added 14 points for the Wolves, said the key to Minnesota's bounce-back was going "after Jokic, Jamal, all the bad defenders. Tim Hardaway, Cam Johnson, Aaron Gordon, the whole team, just go at them. Yeah, they’re all bad defenders.”

Before tipoff, Finch complained for a third straight day about the free-throw disparity in Game 1, when the Nuggets outscored Minnesota 30-14 from the stripe. He cracked that maybe his players need to “start flopping, too.”

Each team went to the line 30 times Monday night.



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cyber security technologies – Table of Content

As we journey through the digital age, the omnipresence of cyber technology has become a double-edged sword. It is indicating not only advancements but also escalating the risks of cyber attacks. This inevitable parallel evolution of technology and cyber security demands a proactive stance in identifying and integrating emerging Cyber Security solutions to bolster our defenses. This blog delves into the forefront of cybersecurity technologies.

List of cyber security technologies :

  1. Artificial Intelligence & Machine Learning
  2. Internet of Things
  3. Blockchain
  4. Cloud computing
  5. Web security 
  6. Application Security
  7. Intrusion Detection System (IDS) and Intrusion Prevention System (IPS)
  8. Data Loss Prevention (DLP) & Data encryption
  9. Firewalls
  10. Social engineering or insider threat 

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1. Artificial Intelligence & Machine Learning: 

Artificial Intelligence

AI embodies the replication of human intelligence within machines designed to mimic human thought processes and behaviors. Central to AI is its capability to autonomously perform tasks to achieve specific objectives, leveraging its capacity to learn from experiences and adjust to new scenarios.

Machine Learning (ML)

As a subset of AI, ML highlights the development of intelligent systems through statistical learning. It involves intricate algorithms analyzing vast datasets to identify patterns, enhancing machine responsiveness in unfamiliar situations.

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2. Internet of Things:

IoT connects devices across the internet, creating a vast network of interconnected digital entities. It ranges from smart home appliances to advanced self-driving vehicles. These devices, equipped with sensors, feed data into IoT platforms, which then analyze and utilize this data to enhance user experience and efficiency.
Example: Smart homes epitomize IoT’s convenience, allowing remote control over home appliances for improved lifestyle automation.

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3. Blockchain:

Blockchain, a digital transaction ledger, is eminent by its robust security features. Its decentralized and transparent design makes it a formidable tool against data tampering and cyber threats. In cyber security, blockchain’s decentralized nature and transparent, immutable ledgers provide a solid base for securing data integrity and secrecy.

How is blockchain helping cyber security?

Blockchain has in-built transparency immutable and DTL features that can help solve today’s cybersecurity problems. These features of blockchain help to handle the integrity, confidentiality, and availability of the information. Moreover, Blockchain systems are decentralized. So, the failure of one node does not affect the whole network.

4.Cloud Computing:

Cloud Computing delivers various services through the internet, including storage, databases, servers, and software. It offers significant benefits such as scalability, cost-effectiveness, and enhanced performance but also brings potential risks like data loss, reduced control, and dependency on third-party services.

5. Web security:

In an era where the internet connects globally, web security becomes crucial. It protects data, users, and systems from cyber threats through various means, such as vulnerability management and secure web applications.

6. Application Security:

This aspect focuses on securing apps from threats by integrating security features during development. It addresses data leakage and software bugs to safeguard sensitive information and maintain application integrity.

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7. Intrusion Detection System (IDS) and Intrusion Prevention System

IDS monitors network traffic for suspicious activities requiring human or automated response, while IPS actively blocks potential threats based on predefined rules. Both systems play a critical role in maintaining network security.

How can IDS & IPS avoid potential risks?

Any company with an Internet connection has the potential to be vulnerable to network intruders. The easiest way to stop them is for blocking the services you don’t need, neither at the entry point of your network nor on your computer. 

An IPS will prevent attacks by depositing malicious packets, blocking offensive IP addresses, and alerting security staff to potential threats. Such a system typically uses an existing database for signature recognition and may be programmed to recognize traffic-based attacks and behavioral anomalies.

When a security policy breach, virus, or configuration error is detected, an IDS may remove an offensive user from the network and send an alert to security staff. In addition, an IDS detects only continuous attacks and not incoming aggressions. In order to prevent them, an intrusion prevention system is needed.

8. Data loss prevention (DLP) & Data encryption:

Data loss and encryption protect sensitive information from unknown access or corruption. Encryption is key in securing data, using techniques like AES, RSA, and DES to encrypt and secure data.

9. Firewalls:

Firewalls are pivotal in network security, monitoring and controlling incoming and outgoing traffic based on security rules. They can be software-based, hardware-based, or a combination of both and are essential in defending against external cyber threats.

10. Social engineering or insider threat:

It refers to manipulating individuals to gain unauthorized access to sensitive information. It highlights the human aspect of cybersecurity, enhancing the need for awareness and training to combat such threats.

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Conclusion

Exploring these diverse cyber security technologies offers insights into the multifaceted approach required to safeguard our digital landscape. Each technology plays a pivotal role in fortifying our cyber defenses, from AI and IoT to blockchain and cloud computing. Stay connected with HKR Trainings for more informative content on cyber security and beyond.

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