Tag Archive for: Machine

Cyberattacks could be used to fund sanction-hit Russia’s war machine 

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In a recent blog, the former head of Britain’s cyber security agency, Professor Ciaran Martin, said Russia was home to the “world’s largest concentration of cyber criminals”.

Quoting industry estimates, he said nearly three-quarters of the exponentially rising revenue from ransomware in 2021 went to cyber gangs in Russia.

Prof Martin, who hails from Omagh, Co Tyrone, said the economic and social impacts of Russia-based ransomware attacks are beyond what had been experienced before and “expose a soft underbelly” of vulnerability for disruption across the West.

He gave two examples. In the US, a criminal operation against the network of Colonial Pipeline caused the company to switch off the transportation of fuel to the eastern United States, causing major shortages at gas stations.

A professor at Blavatnik School of Government at Oxford University, Mr Martin cited a second case: “Worse, an attack by the so-called Conti ransomware group shut down the administrative body in Ireland charged with managing the national healthcare system with hugely disruptive consequences for cancer, prenatal and other critical health treatments.” 

The former head of Britain’s National Cyber Security Centre, part of the signals intelligence agency GCHQ, said the Conti group recently published a statement threatening retaliation against countries that support Ukraine and “pledged loyalty to Mother Russia”.

He said this group suffered a serious internal security breach, seemingly from a pro-Ukrainian worker.

“Their statement is an unusually obvious glimpse into the strange but largely symbiotic relationship between the Russian state and organised cyber-criminality,” he said.

In the context of the war on Ukraine, Prof Martin said: 

A cornered Putin may not just ease up on the criminals but encourage them to wreak more havoc on the West. 

So, for both of those reasons, organisations like CISA [US Cybersecurity and Infrastructure Security Agency] and the National Cyber Security Centre in the UK warn not of any specific threats, but of a more general higher level of risk.” 

Prof Martin cited the work of a leading US cyber expert: “CrowdStrike co-founder Dmitri…

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Understanding cybersecurity from machine learning POV

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Cybersecurity has undergone massive shifts technology-wise, led by data science. The extraction of security incident patterns or insights from cybersecurity data and building data-driven models on it is the key to making a security system automated and intelligent.

Cybersecurity data science is a phenomenon where the data and analytics acquired from relevant cybersecurity sources suit the data-driven patterns that give more effective security solutions. The concept of cybersecurity data science makes the computing process more actionable and intelligent when compared to traditional ones in cybersecurity. Therefore, an ML-based multi-layered framework for cybersecurity modelling is sought after today.

Today, companies depend more on digitalisation and Internet-of-Things (IoT) after various security issues like unauthorised access, malware attack, zero-day attack, data breach, denial of service (DoS), social engineering or phishing surfaced at a significant rate. Cybercrime causes disastrous and sometimes irreversible financial losses that affect both organisations and individuals. A data breach costs $8.19 million in the United States and $3.9 million on an average, according to an IBM report. Meanwhile, the annual cost for the global economy from cybercrime is $400 billion. 

What is cybersecurity data science?

Data science brought about a global change in various industries. However, it has become an important segment for the future of robust cybersecurity systems and services. This comes after cybersecurity has become all about data. For example, while detecting cyber threats, it analyses security data in files, logs, network packets, or other sources. Commonly, security professionals did not use data science to detect cyber threats. Instead, they used file hashes, custom-written rules, and manually defined heuristics.

Although it has its own merits, it requires a lot of manual labour to keep up with the ever-changing threat landscape. On the other hand, data science can change the industry with machine learning algorithms that can be used to extract insights of security event patterns from training data for detection and prevention. It can be used to detect…

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Hygiene Converting Machine Market 2021 Outlook, Demand, Regional Analysis, Industry Value Chain

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The trade report from Reports Globe on the Global Hygiene Converting Machine Market aims to facilitate an in-depth understanding of the market’s definition, potential and scope. The report is organized after extensive research and analysis by experts. It consists of an organized and methodical explanation of current market trends to help users make an in-depth analysis of the market. The report includes a comprehensive assessment of various strategies such as mergers and acquisitions, product development and research and development adopted by the major market leaders to remain in the global market.

In addition to providing users with significant value, the Reports Globe report focused on Porter’s five-force analysis to present the market’s broad spectrum of opportunities, threats and challenges. Information extracted through various business models such as SWOT and PESTEL is represented as pie charts, diagrams and other images for a better and faster understanding of facts.

The report provides an accurate and professional study of the global trading scenarios for the Hygiene Converting Machine market. The complex analysis of opportunities, growth factors and future forecasts is presented in simple and easy-to-understand formats. The report covers the Hygiene Converting Machine market by developing technology dynamics, financial position, growth strategy and product portfolio during the forecast period.

Get FREE Sample copy of this Report with Graphs and Charts at: https://reportsglobe.com/download-sample/?rid=205782

Top Key Players Profiled in this report are:

  • Zuiko
  • Guangzhou Xingshi
  • Curt G Joa
  • Fameccanica
  • Anqing Hengchang (HCH)
  • GDM
  • W+D Bicma
  • JWC Machinery
  • Peixin
  • Cellulose Converting Solutions (CCS)
  • Quanzhou Pine Heart
  • M.D. Viola
  • Quanzhou Hanwei Machinery

    The report is an assortment of direct information, subjective and quantitative assessment by industry specialists, contributions from industry examiners and Hygiene Converting Machine industry members over the worth chain. The report offers a top to bottom investigation of parent market patterns, macroeconomic measures, and control components. Besides, the report likewise overviews the subjective effect of unmistakable…

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    How Machine Learning can Help Fight Against Phishing Attacks

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    Machine learning techniques can assist increase the security of any mobile device, making them acceptable as employee IDs and removing the need for easily hacked passwords. Endpoint security must be hardened to the mobile device level as part of any organization’s Zero Trust Security initiative today.

    Fremont, CA: Mobile devices are attractive to hackers because they are built to provide speedy answers based on little contextual information. According to Verizon’s 2020 Data Breach Investigations Report (DBIR), hackers are succeeding with integrated email, SMS, and link-based social media attacks focused on acquiring passwords and privileged access credentials. And, with such a growing number of breaches originating on mobile devices, according to Verizon’s Mobile Security Index 2020, and 83 percent of all social media visits in the United States occurring on mobile devices, as per Merkle’s Digital Marketing Report Q4 2019, applying machine learning to harden mobile threat defense should be at the top of any CISO’s priority list right now.

    Google’s use of machine learning to combat the onslaught of phishing assaults during the Covid-19 outbreak provides insight into the magnitude of these dangers. Gmail blocks 100 million phishing emails every day. Google’s G-Mail Security team saw 18M daily malware as well as phishing emails related to Covid-19 during a week in April of this year. Google’s machine learning models are growing to understand and filter phishing threats, and they have effectively blocked more than 99.9 percent of spam, phishing, and malware from reaching Gmail users. Microsoft thwarts billions of phishing attempts on Office365 alone each year by leveraging heuristics, detonation, and machine learning, which Microsoft Threat Protection Services bolster.

    According to a recent research report, 42 percent of the US labor force currently works from home (SIEPR). The bulk of people who work from home are in professional, technical, or managerial professions, and they rely on various mobile devices to complete their tasks. The ever-increasing number of threat surfaces that all enterprises must deal with nowadays is the ideal use case for preventing phishing efforts…

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