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Big Data Analytics: Path Forward to Cybersecurity

The concept of big data analytics has been around the years. Many people view “Big data analytics” as an over-hyped buzzword. But in the real sense, big data analytics is the method that examines large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other valuable business information. Organizations take magnanimous decisions to harness their data for actionable decisions in a competitive business landscape. For cost reduction, faster & better decision making, and promotion of new products & services, business entities are becoming more oriented to develop data analysis infrastructure. This brings about a robust environment for competitive intelligence and safeguards the continuity of the business for a long time considering the importance of incessant market and technology shifts.

Need of Big Data Analytics

Digital content created globally will increase 30 times over the next ten years and will reach to a whopping value of 35 zettabytes. With the impact of hyperconnected world and network systems, traditional analytical processing technologies are not capable of handling a wide range of data volumes in a timely manner. To meet the situation, many new and evolving analytical processing technologies including new data management systems, improved analytical capabilities, and faster hardware have been emerged. Big data analytics is effectuated for multifarious usages including real-time fraud detection & cybersecurity, competitive analysis, call center optimization, web display advertising, social media & sentiment analysis, traffic management, and business intelligence.

Why Is Big Data Analytics Important?

  • It brings significant cost advantages.
  • It ensures easy, quick, and better decision-making process.
  • It helps companies to create new products and services as per customers’ needs.
  • It provides actionable business decisions with high-level transparency.
  • It automates business processes.

Big Data Analytics in Cybersecurity

Big data analytics provides a real-world insight into the current state of affairs and acts as a harbinger for the future. With the emergence of big data analytics platforms such as Hadoop and Splunk, searching, monitoring, and analyzing of big data in a distributed computing environment has now become feasible. On the other hand, cyber-attacks are in full spree because of the advanced and sophisticated techniques used by the cyber criminals – whose main intention is to infiltrate corporate networks and enterprise systems. Thereof, various types of cyber-attacks in IT landscape are executed through advanced malware, zero day attacks, and advanced persistent threats. Nearly 1 million malware threats are being released every day and 99 percent of computers are vulnerable to cyber-attacks. Moreover, the estimated cost of cybercrime is up to $1 billion. Astonishingly, less than half of organizations are aware of preventing anomalous and malicious traffic from entering networks or detecting such traffic in their networks. As per Gartner forecast, there will be 20.8 billion digitally connected devices by 2020. The proliferation of connected devices will bring abundance of new data streams and create information overload for many enterprises. In addition, machine and Artificial Intelligence (AI) learning will continue to dominate the headlines in 2017. Forrester predicts companies will invest 300 percent more in AI in 2017 than in 2016. Business entities are intended to keep more focus on big data analytics. Over the years, big data within the enterprise has dramatically changed the nature, structure, and functions of the enterprises and has resulted a new position — the Chief Data Officer to drive innovation and establish a data culture. Furthermore, various techniques are used with a view to harness raw data, such as data mining, which provides an insight into the future of cybersecurity. By analyzing various social media platforms, it is noticed that current trends and key interest points to the population for determining the security traits. Similarly, rising popularity of certain technology also demands the effective implementation of cybersecurity applications. In the realm of cybersecurity, big data analytics has ability to monitor and track systems, usually contained within the cloud. With the emergence of Cloud Security Information and Event Management (CSIEM), secured storage and transmission of user’s private information and files without any fear of being victim to a cyber-attack has become feasible.

To sum up, by gathering massive amounts of digital information, big data analytics is used for effective analysis, visualization, and drawing insights that can make it possible to predict and stop cyber-attacks. Big data analytics is used to identify cybersecurity risks, threats, and incidents, thereby helping businesses to be exempted from vulnerability and cyber-attacks. Thus, big data analytics has become an integral part of cybersecurity. As malware is becoming more pervasive and evasive, data analysts intend to keep focus on malware research & analysis, macro trend analysis, and detection performance measurement for providing protection to threat landscape.

Key Challenges

Despite various positive connotations of big data analytics, its use is not up to the mark in the sphere of maintaining the perfect level of cybersecurity. Even big companies continue to scuffle due to terabytes and petabytes of data. In addition, IT teams and security analysts have become overburdened due to ever-growing requests for data and high level of vulnerability. Businesses have witnessed varied challenges in the way of building and deploying the analytics applications to detect irregularities in an IT environment.

Some of the challenges that are faced in big data analytics include:

Difficulty in Data integration: Integrating data both structured and unstructured is very difficult. Normally, data coming from many disparate sources is very difficult to integrate.

High Data volume: Handling a large volume of data in a limited time frame has become a significant challenge for data analysts.

Unavailability of Skills: Big data management is strictly dependent on effective and efficient implementation of tools and techniques. But sometimes, due to lack of knowledge and skill data analyst is not able to implement the right tools. Therefore, selecting proper technology and tool for data analysis is very important.

High Solution Cost: To ensure a Return on Investment (ROI) on a big data project is very difficult due to the cost involved in it.


Big data analytics has opened a new world of business possibilities by ensuring a high level of security. It has brought about some sort of insights that turn to business value. It highlights data analysis technologies and new data management tactics that empower organizations to analyze a wide range of data for taking effective decisions. As a data analyst, you must be well versed in using up-to-date technology to analyze 3Vs (volume, variety, and velocity) — the three defining properties or dimensions of big data. Big data analytics not only seeks to implement new technologies but also requires clarity of understanding of senior management to take smarter decisions. The forthcoming years will be the years of democratization of data analysis. Big data will govern the whole business world. So, for effective big data analytics, it is imperative to build big data strategy for extracting business value, making robust planning for all format of big data, and for building roadmap from legacy to new data platforms; to initiate strong collaboration amongst the BDM organization; to ensure trained staff to work on following clear governance model; and to take pragmatic business decisions considering IT budget.

Importance of Secure Coding in Making “Digital India” Successful


Sharp rise of internet and its usage have commenced a massive digital proliferation across the world. The influx of digital connectivity through smartphones and IoT enabled devices has carved a new, entirely different “business model” to emerge that is environmentally impactful, socially effective, and economically beneficial. Nowadays, people’s personal identifiable information is drifting into a digital form, thereby ushering towards an open and globally accessible network. Digitization has woven into our daily life for every single task. As that happens, the risks associated with the digitization has become unnerving and daunting. The sense of security is a prime concern with every click. As the businesses across the world are transforming the mode of operation, digital platform is attracting huge volumes, hence it is imperative that we embrace robust security measures and protections to ensure security of business operations. Security can be achieved in the digital era by introducing secure coding in the backstage formulation of digital applications. Over the last two years, the Indian economy has witnessed radical enablers which shall play an important role in taking digitization into a next level. Some of these enablers are:

E-commerce evolution

The evolution of e-commerce has completely transformed the way we ever shop. E-commerce has evolved as an entirely new idea over the course of last 10 years and has now become a major contributor in the world’s economy. Since then, the e-commerce has advanced as a fully functional, operational, and personalized shopping experience. E-commerce ensures the business reaches the crowd, reduces the cost, and develops binding relationships with their customers. The digital transaction, nevertheless, risks the consumers to disclose their sensitive personal information to the third party or the vendor of e-commerce platform. With the increased usage of e-commerce, the security issues and threats have also increased. Some of the e-commerce threats are:

  • Financial fraud
  • Identity theft
  • Disruption of service
  • Illegal intrusion of customer data

There are many more threats related to e-commerce which requires such platforms to be more secure while handling the customer’s sensitive data. To ensure the security of e-commerce platforms, secure coding at the backend is a necessary and required practice.


Recently, on November 8, 2016 government of India announced the demonetization of both 500 and 1000 currency notes. As per the government, the demonetization would curtail the economic imbalance and clamp down the illegitimate and forged cash transactions in illegal activities. The concept fits well with the view of financial inclusion and digital India initiative to improve the socio-economic growth of marginal sections of society. Again, with the increased usage of digital platforms, security is the main concern. Because, digital platforms are potential targets for cyber criminals. With the increased usage of digital platform after demonetization, the risks have increased as the following incidents depict:

  • Fraudulent use of digital payment networks
  • Incidents of data theft
  • Misuse of data
  • Hacking of digital wallets

People want their data to be secure and safe while dealing with digital platforms. Therefore, to ensure security, mobile and web application developers need to include secure coding as a regular practice while developing the application.

Digital India initiatives

Digital India evokes the image of a networked economy that aims to connect over 1.2 billion people across the country. It prepares India for the future Knowledge. Hon’ble Prime Minister Shri Narendra Modi has initiated the Digital India campaign for transforming India into a digitally empowered technological society. Some of the Digital India initiatives include: mygov.in, digi locker, e-sign framework, digitize India platform, national scholarship portal, e-hospital, bharat net, and center of excellence on IoT. With these initiatives, cyber security has become the prime concern and forms an integral part of our national security. The risks associated application vulnerabilities and internet threats increases as the society is moving towards digitization.

Adoption of secure coding concept

Software developers need to know the essence of secure coding, which can help in protecting the information that are accessed or provided by different web and mobile application users. The best security practices, if included, in the development phase of applications will ensure: confidentiality, integrity, and availability of the information. There are some coding mistakes that are generally and inadvertently introduced in the common coding practices that increases the risks and vulnerability areas in the digital application. Therefore, secure coding must be incorporated in each development stage of the web application to provide protection against cyber-attack, cybercrime, and cyber espionage. Secure coding best practices when included while developing an application gives security against the top 10 OWASP vulnerability areas that are:

  1. Injection: occurs when a web application sends untrusted data to an interpreter as a part of a command or query.
  2. Broken authentication and session management: occurs when developers build their own custom authentication and session management schemes that do not consider exhaustive security considerations.
  3. Cross site scripting: occurs when an application takes untrusted data and sends it to a browser without proper validation or escaping the input data.
  4. Insecure direct object references: occurs when an application uses the actual name or key of an object for generating web pages and do not verify the authority of the user who is accessing the target object.
  5. Security misconfiguration: occurs when secured configuration is not defined and deployed for application, frameworks, application server, web server, database server, and platform.
  6. Sensitive data exposure: occurs when sensitive data is not encrypted using strong encryption algorithm, not using strong key generation and management method, and not implementing infallible password hashing techniques.
  7. Missing function level excess control: occurs when an application does not protect its functions with proper access control, thereby allowing access to functionality without proper authorization.
  8. Cross site request forgery: occurs when web applications allow attackers to predict all the details of an action. As browsers send credentials like session cookies automatically, attackers can create malevolent web pages that generate forged requests appearing genuine.
  9. Using components with known vulnerabilities: occurs when application uses various components that are not up to date.
  10. Unvalidated redirects and forwards: occurs when application redirect users to other pages or use internal forwards.

Significance and Impact

Secure coding is no longer an option – it is a mandatory concept. It helps in aligning the digital platforms and services as per the best security standard. Some of the key benefits of incorporating secure coding concepts include the following:

  • It helps in developing secure and robust application that practically reduces the security threats, risk areas, and vulnerabilities
  • It safeguards against the accidental introduction of risks to prevent cyber attacks
  • It deploys security controls like input validation, access control, data protection, etc. to strengthen the code from hacking
  • It minimizes development efforts in the Software Development Life Cycle
  • It avoids regulatory penalties arising from loss of sensitive information pertaining to customers and employees

One can secure the web and mobile applications by applying the secure coding practices in the development phase.

How can secure coding be the game changer?

With the implementation of the best secure coding concepts, an organization can save time while understanding the risks to deal with and learning the ways to fix the cyber issues in future. Best practices of secure coding help in providing complete protection and management of applications, whether it be a web or mobile based. Secure coding in software development and assurance if focused in the cyber driven world will deliver a secure and reliable platform to grow. It also reduces the vulnerabilities and risks areas that makes it impossible for cyber attacker to intrude in the software. It is the rudimentary need of the digital applications development and must be incorporated at the outset. When included in regular practice, secure coding reduces the vulnerability areas in an application and provides a sense of secure transactions with respect to digital India initiatives. Therefore, it is very important to implement robust secure coding concept, which will pave the way for building India strong & stable in the realm of trade & commerce and for making digital India a successful campaign, thereby guaranteeing digital furtherance and India’s growth and development.

IoT and Information Security

“The future in now” a common phrase used by the technology spearheads has now become a thing to believe in. A technology which has been in the womb for almost a decade has now started to evolve and get into a prime shape. “Internet of things” a technology which has the potential to reshape the very rules which we have been fundamentally following to live is ready to go. From environment to security, from sales to logistics and from industries to home automation, IoT has a wide range of applications which can sweep the humanity of their feet.

The question arises “What exactly IoT is?”. The Internet of Things (IoT) is a system by virtue of which different recognizable embedded devices can be connected to each other with the help of a single internet providing source. The Internet of Things mainly consists of three components they are, the things (or assets) themselves, the communication networks connecting them and the computing systems that make use of the data flowing to and from our things. An advanced connectivity of devices, systems and services can be achieved and maintained using IoT as all main components of the system are covered.

Though the technology looks all serrated, refined and ready to use but there are still many questions to be answered and many riddles to be solved when it comes to the real-time use of IoT. Questions like “What will be the data-type that will be collected?”, “Will data be collected with or without any permission?” and most importantly “Who will receive the collected data?” still needs to be answered.

One of the major parasite which still bugs the corporate world is unauthorized access by foreign body into their system and confidential data getting leaked. Technology has come and gone but nothing has been able to Barr these incidents from happening. IoT has dawned with the promise of mitigating and managing this predicament. IoT can not only connect two peripheral devices, it can also restrict and manage the access rights of an unknown body trying to toy with the network. Off course this will only work when the organization’s embedded system runs on IoT technology. To end the access control quandary and to keep the data safe, IoT spearheads are all set to use “encryption libraries” as a robust security system which will be minimizing and diminishing the liability of the data collected by the sensors which are the soul and core part of IoT technology. It also helps to combat the access related problems and maintain the three pillars of information security that is authentication, confidentiality and integrity of the data. Along with accuracy in monitoring, security and privacy protection are important issues that impact the widespread deployment of sensor networks when it comes to IoT technology. And encryption libraries gut the quandary in an appropriate manner. The methods can be different when it comes to the layer of encryption but a general encryption library system present in the IoT technology may use as many as three three cryptography layers to ensure the safety of the data involved: access control; point-to-point authentication; and public key encryption.

Access control:

In this process, all network nodes share a common key that encrypts information that doesn’t allow the data to get leaked. It also has an effective mechanism which allows efficient energy consumption. This layer ensures that the third-party devices which may harm the network or steal data is kept at bay.
Point to Point authentication:

For this security layer, each sensor node interchange communication confidentially with the sensor gateway. The authentication and integrity of the data is maintained as key renewal encryption takes place and none of the involved nodes that forward information can see the data transmitted.

Public Key:

The sensor gateway device is the part in which the third method of encryption takes place. The sensor gateway transmits information to the Cloud by enabling each node to encrypt data using the Cloud server’s public key. The information is kept confidential by this mechanism all the way from the sensor to the Web server on the Internet.

Using the above encryption library system, data which will be generated in the IoT technology can be stored and kept secure from any malicious intent. But larger the sea of technology, the longer will be the shore of risks and vulnerabilities embedded. The list of questions still prevail that whether or not the security techniques will prove strong enough to stop the foreign body from entering the network and stealing data. The advent of a new technology like IoT off course will change the way we see the world but along with it will come a laundry of vulnerabilities and risks that may give the bubble of data thefts and misuse a larger shape.

The proper use and awareness of information security is what can help the upcoming generations to cope with this mess. The focus should be more on learning the “What” , “Where” and “Why” part of the process of securing the information rather than focusing on the “How” part. Proper guidance, learning and training can be a blessing when it comes to understanding and managing the security of data. Pro-active work has to be done when it comes to reliability and security, and training in form of simulations can work as an arrow that can pierce this target. Simulation programmes can not only widen the gauge of thinking but it can also make the professionals understand the basic concepts of information security. “The more one practices in peace, the less he bleeds in war”, there’s no harm in securing one’s base before experimenting something new. IoT is a technology which should certainly be implemented and used but the risks it may have should be judged and discussed before actual role-play takes place.

The advent of IoT may revolutionize the corporate world and other spectrum of life but work needs to be done when it comes to securing the data which will be originated and stored when IoT is being implemented and used in real-time.

Running Security Projects Simplified

One of the biggest challenges in the Information Security field for any professional is to run & manage projects. In most of the organizations, despite the top management buy-in, it is still very difficult to align other functions with the information security ideology which makes it difficult for the information security working groups to keep it going. Implementation of the best technology components addresses some part of the business problem but the real focus should be on changing the way people (in the value chain) work in the business operations. The prime focus must be on the ABC that runs the information security industry.

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