Role of Data Science in Cyber Security
Modern data science, in its most
fundamental form, is all about studying, processing, and extracting valuable
insights from a set of information. Though the word and process have been
around for several decades, it was primarily a subset of computer science.
Today, it has developed into an independent field and hence, those interested
can study and major in it.It is a vast and ever-changing field of
study with plenty of promising career opportunities and a great many real-world
applications, especially in business.
One modern application of data science
includes cyber security. It may sound strange to study data science with the
hopes of improving cyber security, but in reality, it makes a lot of sense, and
here’s why.
Relationship
between Big Data and Cyber Security
With the application of data analytics and
several machine learning tools, an organization can conduct thorough analysis
of the information it collects. Professionals can examine data closely to
reveal trends, patterns and actionable intel.
For instance, you might find out that all
the network attacks in your organization take place at night, when nobody is in
the office. Or, maybe you can learn enough to narrow the probability of an
attack down to a certain terminal on your network. Besides this, you can use
the extracted information to predict potential attacks that can take place in
future.
Predictive
and Active Intrusion Detection Systems
Cyber security is really a cat-and-mouse
game. Hackers and attackers use a range of tools and intrusion styles to gain
access. It is here that intrusion detection systems come into use, both of the
active and preventive variety. These systems monitor users and devices on your
network and flag dangerous activity.
Modern data science can both enhance and
simplify the use of such tools. By feeding present and historical data into a
machine learning algorithm, this system can precisely detect potential
problems. Over time, as such system becomes more precise; it can foretell
future attacks and spot various loopholes.
Protecting
the Valuable Information
Another concern of a data attack is the
loss of extremely valuable data and information, which can be really damaging
to your organization. With the use of security measures like highly complex
signatures or encryption, you can stop anyone from probing into a dataset, and
by involving data science, you can start to build impenetrable protocols. For
example, by analyzing the history of your cyber-attacks, you can develop
algorithms to detect the most frequently targeted chunks of data.
Overall, data science through effective
analytics systems help enhance the cyber security industry. It allows IT
professionals to come up with more operative, defensive and active measures to
prevent cyber-attacks. Online data
science programs from a reputed
institution can help you leverage the power of data science to empower networks
driven by self-improving algorithms.
Comments
Post a Comment