Certificate Program in
Cyber Security Analytics
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Classroom & Online Sessions
- 24+ Hours of Practical Assignments
- 2 Capstone Live Projects
- 100% Job Placement Assistance
"With the boom in the need for cybersecurity workers, Malaysia needs to train 10,600 cybersecurity professionals by 2020." - (Source). With the rapid growth of technology and IoT, there are occurrences of a data breach and causing cyber threats against many organizations. Research on cybersecurity incidents revealed that there is a substantial economic loss to the countries. The Asia Pacific CISO informed that Malaysia is improving its cybersecurity by imbibing advanced technologies. As cyber threats are growing, organizations are adopting analytics and automation to safeguard their data from cyber-attacks, and this aids cyber specialists in their work. Advanced methodologies and technologies to strengthen cybersecurity include Artificial Intelligence, Machine Learning, Contextual, behavioral analysis, big data security analytics, next-generation defense mechanisms. This will enable Cybersecurity analysts to detect and provide insights about cyber attacks and threat actors and protect AI models against cyber threats by adaptive adversaries.
Cyber Security Analytics
- Computer Skills
- Basic Mathematical Concepts
- Computer Networks
Cyber Security Analytics Training Overview
This certification course in cybersecurity is replete with details of cybersecurity attacks and applications of Data Science, AI and Deep Learning in cybersecurity. It is designed by experts who work in the space of security and privacy and having rich industry experience handling data security. After this program, the student will be proficient in the applications of descriptive and predictive analytics, times series and forecasting in cybersecurity. The deployment of unsupervised learning techniques for Network Anomaly Detection is detailed. Apprehend machine learning for malware detection and lazy learning for fingerprint classification. Understand the concepts of project management of any data science project.
Cyber Security Analytics Training Outcomes
360DigiTMG offers the best Cyber Security Analytics course in Malaysia. This course provides the relevant skills to the students that ensure them to get lucrative jobs. Students will get acquainted with the latest technologies and their applications in Cybersecurity. Learn about primary applications of Data Science and Artificial Intelligence. Learn about Machine learning techniques, applications of descriptive and predictive analytics in Cybersecurity. Gain knowledge about forecasting and application of time series. This course is designed to train students with the advanced knowledge as per the industry requirements.
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Who Should Sign Up?
- Internal Auditors
- CFO/Director/Head of Accounting
- Business Analysts
- Data Analysts
- Banking and Accounting Analysts
- Certified Financial Analysts
- Credit Analysts
- Financial Advisors
- Math, Science and Commerce Graduates
Cyber Security Analytics Course Modules
Cyber Security modules are formulated by industry experts who have extensive years of experience. The primary module consists of the basics of cybersecurity analytics. Students will learn about various challenges, the applications of Machine learning in analytics. Learn about Data Science, Artificial Intelligence, and predictive modeling techniques that include Spam detection, Phishing Page detection, Malware Detection, etc. learn about the kernel-based method and application of ensemble techniques in detecting cyber attacks. Concepts have elaborated that include Brute force classification. Learn various adversarial attacks and GANs in image classification and concepts of CAPTCHAs. Understand about DDoS attacks and applications of clustering - K-Means in detecting malware. Learn to detect viruses and hackers by IoT sensors. Students will be thoroughly trained by providing them with industrial relevant case studies. By Hands-on experience, students will be able to handle business challenges.
Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.
Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples
Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.
Understand the various problems and challenges in the space of cybersecurity and how Machine Learning is shaping cybersecurity analytics. Understand the industry trends and opportunities. Learn how cyber security can be pivotal for the success of your organization.
Understand the applications of data science and predictive modelling in cyber security. This includes Spam Detection, Phishing Page Detection, Malware Detection, Anomaly Detection, Software Vulnerabilities etc.
Understand the overall flow of steps involved in Project management methodology for handling data related projects in Data Science, Machine Learning, Data Visualization, Artificial Intelligence, etc.
Understand about Malware detection and application of Kernel based method – SVM for Android Malware Detection. Also learn about application of ensemble techniques in detecting cyber-attacks.
Understand about lazy learning techniques such as KNN and application of the same in Biometrics including Brute Force Classification.
Learn about the various types of Adversarial attacks and applications of GANs in Image classification/misclassification as well as Malware detection. Also learn about application of AI in knocking down CAPTCHAs.
Understand about the various components and seasonal spikes in identifying DDoS (Distributed Denial-of-Service) attacks.
Understand about the various network anomaly detection algorithms & types of network attacks. Finally, one will learn to detect botnet topology.
Learn about application Regression based techniques – Logistic as well as Blackbox Technique – Support Vector Machines in detecting malicious URLs.
Understand about application of clustering – K-Means in detecting anomalies by using Windows event logs & Windows active directory data.
Ransomware, Spyware, Different types of viruses and its detection using AI applications. Malicious virus detection in databases as well as IoT sensors. Detecting hackers & impersonators will also be explained.
Cyber Security Analytics Trends in Malaysia
The occurrence of Cyberthreats is becoming high as technology and the internet have evolved over the last 10 years. To overcome these cyberthreats many advanced technologies are emerging. One of them is Artificial Intelligence, it can harness the power of data and can give incredible insights to fight against cybercrimes. It identifies the hidden patterns and analyses them by which we can act quickly. The protection of supply chains will be essential for vendors to safeguard their customer’s data. As more than 75 billion mobile devices are being used globally which are lacking updated software, unsecured devices, etc. this will act as vectors for cyber attackers. By 2022 half of data will be generated and processed at the edge or cloud. The best solution from such kinds of attacks is to protect supply chains and multifactor authentication.
Though many companies are coming forward with the best cybersecurity services, well-trodden attacks like phishing are still taking place. A hybrid cloud is a key solution to it as it provides enhanced safety. It allows Artificial intelligence to draw insights about any occurring threat. Public cloud is also used to safeguard by sign-in location checks or secondary authentication controlling traffic. At present two-thirds of companies are on hybrid cloud and few are planning to deploy them in the future. We can expect that this trend will continue further. Another trend is Multifactor authentication, which reduces the risk of identity by 99%. Usage of biometrics and identity-based certificates will escalate safety and streamline the user experience for organizations. ensuring personal privacy. As advanced technologies are evolving to fight against cyber crimes, professionals who have adequate knowledge of cybersecurity analytics will have a huge demand to fit into this.
How We Prepare You
Additional Assignments of over 60+ hours
Live Free Webinars
Resume and LinkedIn Review Sessions
6 Months LMS Access
Job Placements in Cyber Security Analytics Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Life-Time Free Access to Industry Webinars
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