{"id":249937,"date":"2023-03-02T07:58:18","date_gmt":"2023-03-02T07:58:18","guid":{"rendered":"https:\/\/imarticus.org\/?p=249937"},"modified":"2024-04-06T20:20:55","modified_gmt":"2024-04-06T20:20:55","slug":"how-big-data-analytics-can-help-in-improving-network-security","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/how-big-data-analytics-can-help-in-improving-network-security\/","title":{"rendered":"How big data Analytics can help in improving Network Security"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Every day, the information generated and stored by companies worldwide is increasing in volume and complexity. With this arises a need for tools to protect this vulnerable data from data breaches and exploitation by cybercriminals.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Can big data analytics strengthen <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\"> and save the day? Read on to find out.<\/span><\/p>\n<h2><strong>What is big data analytics?<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Big data refers to highly variable, complex data generated at a high volume and high velocity. The analysis and interpretation of big data are known as big data analytics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With the boom in digitalisation and cloud computing, hundreds of terabytes of data are generated and utilised daily. Extracting useful information from data of this size is tedious with traditional SQL (Structured Query Language) tools. Here&#8217;s where big data analytics comes in.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Frameworks like Hadoop and databases such as <strong><a href=\"https:\/\/imarticus.org\/blog\/what-is-mongodb-and-how-does-it-work\/\">MongoDB<\/a><\/strong>, Cassandra, Vertica, and Apache HBase make complex data management quicker and simpler. Searching for specific events within large datasets can be completed by such frameworks in minutes.<\/span><\/p>\n<h2><strong>Applications of big data analytics<\/strong><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-240559 size-medium\" src=\"https:\/\/imarticus.org\/blog\/wp-content\/uploads\/2020\/01\/1no-300x146.gif\" alt=\"Big Data Analytics Courses\" width=\"300\" height=\"146\" srcset=\"https:\/\/imarticus.org\/blog\/wp-content\/uploads\/2020\/01\/1no-300x146.gif 300w, https:\/\/imarticus.org\/blog\/wp-content\/uploads\/2020\/01\/1no-768x373.gif 768w, https:\/\/imarticus.org\/blog\/wp-content\/uploads\/2020\/01\/1no-1024x498.gif 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Big data analytics<\/strong> helps store and maintain data, detect patterns and trends in real-time, predict future events or problems, and nullify abnormal or malicious activities in vast networks.<\/span><\/p>\n<p><strong>Some sectors where big data analytics finds wide applications are:<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Finance and banking<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Business and e-commerce<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Public welfare and governance<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Healthcare\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Communication<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Energy<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Entertainment and media<\/span><\/li>\n<\/ul>\n<h2><strong>Network security and its challenges<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Protocols, policies, and practices designed to keep data safe from cyber attacks and security breaches are part of <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\">. It aims to detect, prevent and nullify misuse, denial of access, unauthorised modification, or data extraction.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Network security<\/span><span style=\"font-weight: 400;\"> uses physical and digital methods to secure confidential and sensitive data. Biometrics, firewalls, VPNs, and sandboxing are various types of <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As databases expand, monitoring big data with traditional SQL tools becomes unreliable. Downsides of traditional analytics include frequent false positives, cyber attacks, privacy breaches, phishing, malware, and other <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\"> threats.<\/span><\/p>\n<p><strong>Other challenges faced by network security are:<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Breaches at admin or high clearance levels<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Lack of vigilant monitoring in open network structures<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Inability to process high amounts of data in real-time<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deliberate or accidental breaches by humans or bots<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Stealing confidential data through hacking or identity theft<\/span><\/li>\n<\/ul>\n<h2><strong>How big data analytics can be the solution?<\/strong><\/h2>\n<h3><strong>Storage and maintenance of big data<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">High-volume non-relational data can be collected and stored on NoSQL databases such as Apache HBase, Cassandra, and MongoDB. These databases use platforms like Hadoop to organise variable and unstructured data.<\/span><\/p>\n<h3><strong>Identification of anomalous patterns in real-time<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Employees are responsible for a majority of <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\"> breaches. These leaks may be accidental, but deliberate breaches may be minor and go undetected for long periods.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Big data analytics can monitor real-time changes in regular data flow patterns. Data from sensors monitoring user credentials can detect unauthorised log-ins and reveal botnets or APTs (Advanced Persistent Threats).<\/span><\/p>\n<h3><strong>Predictive assessment of network integrity<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Tools used in big data analytics can perform predictive analysis of the errors that can occur in the system. NoSQL frameworks can reveal the pitfalls in <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\">, which can then be patched before hackers discover them.<\/span><\/p>\n<h3><strong>Prompt retrieval of information from networks<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">A case study by <\/span><a href=\"https:\/\/www.darkreading.com\/security-monitoring\/a-case-study-in-security-big-data-analysis\"><span style=\"font-weight: 400;\">Zion Bancorporation<\/span><\/a><span style=\"font-weight: 400;\"> was able to draw a comparison between the processing speed of data by traditional and big data analytics. Traditional SIEM (Security Information and Event Management) tools took 20 minutes to 1 hour to process data collected over a month. It took a Hadoop-based tool only about a minute to do the same.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This case study shows the ability of NoSQL tools to process data at high speeds that could detect and barricade gaps in <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h3><strong>Analysis of datasets to identify past breaches<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">When breaches in the system occur, companies often fumble to find what exactly caused it. The sheer volume of big data often makes finding a fault in the network a hassle. With big data analytics, a detailed assessment of stored data can be performed within minutes, assuring prompt responses to cyber attacks.<\/span><\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">Advancements in big data analytics have the potential to become an indispensable tool in bolstering <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\">. There is a rising demand for big data analysts to protect and secure sensitive data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A <strong>career in big data analytics<\/strong> and <\/span><span style=\"font-weight: 400;\">network security<\/span><span style=\"font-weight: 400;\"> is one click away with the <\/span><span style=\"font-weight: 400;\">advanced certification programme in cybersecurity<\/span><span style=\"font-weight: 400;\"> from IIT Roorkee. The practical approach of this course aims to equip you to deal with cyber attacks and protect vulnerable networks. It is also a comprehensive guide to <strong><a href=\"https:\/\/imarticus.org\/blog\/what-is-the-purpose-of-ethical-hacking-in-cybersecurity\/\">ethical hacking<\/a><\/strong>, social engineering, encryption, and data forensics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Enrol now to begin an exciting <strong><a href=\"https:\/\/imarticus.org\/advanced-certification-program-in-cybersecurity-iit-roorkee\/\">career in cybersecurity<\/a><\/strong> today!<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Every day, the information generated and stored by companies worldwide is increasing in volume and complexity. With this arises a need for tools to protect this vulnerable data from data breaches and exploitation by cybercriminals. Can big data analytics strengthen network security and save the day? Read on to find out. What is big data [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":243301,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_mo_disable_npp":"","_lmt_disableupdate":"no","_lmt_disable":"","footnotes":""},"categories":[23],"tags":[720],"class_list":["post-249937","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-big-data-analytics-course"],"acf":[],"aioseo_notices":[],"modified_by":"Imarticus Learning","_links":{"self":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/249937","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/comments?post=249937"}],"version-history":[{"count":3,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/249937\/revisions"}],"predecessor-version":[{"id":263220,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/249937\/revisions\/263220"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media\/243301"}],"wp:attachment":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media?parent=249937"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/categories?post=249937"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/tags?post=249937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}