This PPT includes the basic information of Sentiment Analysis & how it is related to Cybersecurity. How we can use Emotional Intelligence in to beef up Cybersecurity.
4. What is
Sentiment
Analysis ?
(contd)
➔ Sentiment Analysis is the process of
‘computationally’ determining whether a
piece of writing is positive, negative or
neutral. It’s also known as opinion mining,
deriving the opinion or attitude of a
speaker .
➔ The main purpose behind the Sentiment
Analysis on Tweets is to gauge the
attitude, sentiments, evaluations,
attitudes and emotions of a user who
tweeted based on the computational
treatment of subjectivity in a text.
5. Importance
of
Sentiment
Analysis :
➔ Sentiment analysis is extremely useful in social
media monitoring as it allows us to gain an
overview of the wider public opinion behind
certain topics. Social media monitoring tools like
Brandwatch Analytics make that process
quicker and easier than ever before, thanks to
real-time monitoring capabilities.
➔ The applications of sentiment analysis are broad
and powerful. The ability to extract insights
from social data is a practice that is being widely
adopted by organizations across the world
6. Why
Sentiment
Analysis is to
be used ?
➔ Businesses today are heavily dependent on data.
Majority of this data however, is unstructured
text coming from sources like emails, chats,
social media, surveys, articles, and documents.
➔ The micro-blogging content coming from
Twitter and Facebook poses serious challenges,
not only because of the amount of data involved,
but also because of the kind of language used in
them to express sentiments, i.e., short forms,
memes and emoticons.
7. How SA is related to Cyber security ?
➔ Emotional intelligence is the ability to empathize, control our own
emotions, and interact with others in a way that accounts for the role
feelings play in how people make decisions.
➔ In many fields, including education, marketing, and sales, the
importance of emotional intelligence is widely acknowledged. But it’s
somewhat unusual to hear about emotional intelligence in the
cybersecurity space.
8. How SA is related to
Cyber security ? (contd)
➔ According to research being done at
Google and the University of
Florida, is that it takes advantage of
how the human brain works--and,
crucially, how people fail to detect
deception, depending on factors like
emotional intelligence, cognitive
motivation, mood, hormones, and
even the victim’s personality.
9. ➔ Emotional Intelligence play an important role because people are still at the center of
efforts to keep data safe, and hackers play on users’ emotions to gain access to
confidential information. Here are just a few examples of how emotional intelligence
comes into play in cybersecurity:
◆ According to Verizon’s 2019 Data Breach Investigations Report, phishing remains a top
attack vector, with people falling for scams designed to bypass cybersecurity measures.
◆ Hackers are getting more emotionally intelligent; sophisticated cybercriminals analyze
when potential victims catch on to attempted scams and develop more convincing ruses.
Eg: Google Translate scam, Apple Phishing scam, Paypal scam, Netflix Phishing scam
➔ In the cybersecurity world, user security awareness training is considered a must and has
been adopted by many companies, but data breaches are still on the rise.
How SA is related to Cyber security ? (contd)
10. How to use SE to strengthen cyber security
➔ So, what can you do to bring your cybersecurity emotional IQ up? The first step is to
realize the role emotional intelligence plays in security and look for ways to incorporate
best practices. Here are some tips on how to use emotional intelligence to beef up
cybersecurity and foil attacks:
◆ Use positive language when discussing cybersecurity
◆ Be empathetic with users
◆ Demonstrate that position is no protection
◆ Teach staff to be suspicious of urgency
◆ Make security awareness training engaging and personal
◆ Use technology that minimizes the damages that result from human error
11.
12. Cyber
Security
Emotional IQ
Range
➔ To ensure that you maximize your
organization’s emotional intelligence defenses
against cyber threats, honestly assess your
current security posture through that lens and
identify areas for improvement.
➔ Think of it as a range, with the worst actions at
one end and the best at the other. Then, create a
plan to improve your security posture through
better emotional intelligence.
14. Verizon data breach Investigations
report
➔ The extensive report provides in-
depth insights and perspectives on
the tactics and techniques used in
cyberattacks and detailed
information on the current threat
landscape.
➔ The 2019 Verizon Data Breach
Investigations Report is the most
comprehensive report released by
Verizon to date and includes
information from 41,686 reported
security incidents and 2,013 data
breaches from 86 countries.
15. The key findings of the report are :
➔ Cyber-espionage related data breaches increased from 13% of breaches in 2017 to 25%
in 2018
➔ Nation-state attacks increased from 12% of attacks in 2017 to 23% in 2018
➔ Financially motivated breaches fell from 76% to 71%
➔ Phishing is involved in 32% of breaches and 78% of cyber-espionage incidents
➔ 52% of cyber attacks involve hacking
➔ 34% of attacks involved insiders
➔ 43% of cyber attacks were on small businesses.
➔ There has been a six-fold decrease in attacks on HR personnel
➔ Misconfiguration of cloud platforms accounted for 21% of breaches caused by errors
16.
17. Cyberattack
s on the
Healthcare
Industry
➔ The 2019 DBIR included 466 healthcare
cybersecurity incidents, 304 of which involved
confirmed data disclosures.
➔ Out of all industry sectors analyzed, healthcare
was the only industry where the number of
incidents caused by insiders was greater than
those caused by external threat actors.
➔ 72% of breaches involved medical data, 34%
involved personal information, and 25% involved
credential theft.
➔ It should be noted that, in most cases,
ransomware attacks are reportable breaches
under HIPAA.
19. VADER (Valence Aware Dictionary
and Sentiment Reasoner)
➔ VADER is a lexicon and rule-based sentiment analysis tool that is specifically attuned to
sentiments expressed in social media.
➔ VADER uses a combination of a sentiment lexicon is a list of lexical features (e.g., words)
which are generally labeled according to their semantic orientation as either positive or
negative.
➔ It produces 4 metrics - positive, negative, neutral and compound score.