Interesting!

Dear Dr. Dariusz,

In my point of view, the Big Data-data sentiment analysis will become a new paradigm as a tool for fighting cyber-crime.

We can define it in identifying pattern of work and behavioral on sentimental analysis of the users of an organization by helping complex data analytics to identify and improve the capability and efficiency of the organization.

Furthermore, we can also divided it two perspective (2):

(1) Security Intelligence Platform (Structured, analytical and repeatable).

-The real-time processing and security operations.

(2) Big Data Platform (Creative, exploratory and intuitive).

-The big data processing and analytics.

With this two perspectives, we can integrated towards security intelligence with Big Data will become a tool for combating cybercrime.

I feel definitely Big Data data sentiment analysis become a tool for fighting cybercrime in future.

Following answers.

بالتأكيد تحليل البيانات البيانات المعنوية تصبح أداة لمكافحة الجريمة السيبرانية في المستقبل.

... قراءة المزيد

نوصي

Thank you very much for your answers. The topic is important so I invite you to continue the discussion.

Will the Big Data data sentiment analysis become a tool for fighting cybercrime?

Please reply. I invite you to the discussion.

Sentiment Analysis or SA, also referred to as opinion mind is successfully used in marketing. Artificial intelligence through SA, based on big data of social media sites is already being used to screen cyber criminals and potential Perpetrators of other violent crimes.

Interesting!

Gupta, B., Sharma, S., & Chennamaneni, A. (2016). Twitter Sentiment Analysis: An Examination of Cybersecurity Attitudes and Behavior.

" Social media platforms such as Facebook, Instagram, Twitter, Google+, and Pinterest are increasingly becoming an important source of data for understanding consumers’ concerns using sentiment analysis. Sentiment analysis refers to the use of text with unstructured data containing individuals’ opinions to understand their overall sentiment towards an aspect. Sentiment analysis (or opinion mining) is the study of users’ sentiments towards certain entities, such as product review or cybersecurity (Fang and Zhan 2015). Although sentiment analysis has been applied to many different domains, such as tourism (García et al. 2012), politics (Hu et al. 2013), marketing (Mittal and Goel 2012) and epidemiology (Sadilek et al. 2012) to examine individuals’ sentiments or opinions about certain events, use of sentiment analysis in digital privacy and security related domain is still nascent (Jurek et al. 2015). At the time of this study, we could not locate a research study that uses social media data to study cybersecurity attitudes and behavior applying sentiment analysis and text mining techniques. High-profile data breaches at companies, such as Yahoo, Home Depot, Sony Pictures and Target, have brought a lot of attention to cybersecurity issues and the long-term impact of security violations. The hacking of celebrities’ accounts in cloud in 2014-2015 further elevated the public discourse of cybersecurity violations and brought greater discussion about cybersecurity in the social media. While it is difficult to accurately estimate the costs associated with cyber security violations (as companies tend not to disclose the resulting financial losses), the estimated costs can easily reach billions of dollars per year (Gordon et al. 2015). The Center of Strategic and International Studies (2014) estimates that in 2014 the annual cost of cybercrime to the global economy exceeded $375 billion. Thus, cybersecurity and individuals’ attitude to cybersecurity and how they might be protecting themselves in digital transactions is an important area of study. It is important to recognize that there are some inherent limitations in using social media data such as the tweets. Sentiment analysis is limited to the data that can be downloaded and what the individuals are willing to share. Also, sentiment detection may not work as well for tweets that contain subjective words or do not contain explicitly recognized topic related words. In addition, tweets may contain opinions expressed in complex linguistic ways, such as sarcasm, irony, and implication (Feldman 2013). Sentiment analysis methods have been criticized in the past for being limited in terms of detecting sarcasm (Feldman and Sanger 2007). Additionally, sentiment analysis can be domain and event dependent. Terms and sentences considered as positive in one domain may not be so in another domain".

Kontostathis, A., Edwards, L., & Leatherman, A. (2010). Text mining and cybercrime. Text Mining: Applications and Theory. John Wiley & Sons, Ltd, Chichester, UK.

Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: from big data to big impact. MIS quarterly, 1165-1188.

Following answers.

It's and interesting topic, and it has everything to do with my PhD research.

The organizations that take care bout programs and public policies to deal with the crime (in a general way), need a feedback of the public, and this feedback includes the public sentiment/opinion about these programs/policies.

In another sense, these organizations also need to monitor what is happening that affects public secutiry, and cybercrimes are within the package of things that must be monitores. So, mining people opinion throught social media, using natural language processing, sentiment analysis and artificial intelligence techniques is a differential for these organizations, and it may ensure the success of the actions to fight the crime.

Well, this is just a insight of mine (which started to dealing with these issues about 6 months ago), but what I have read about it points in the direction of the use os sentiment analysis as a strategic tool both to improve the policies as to help monitoring crimes.

I'm following this discussion, the the is very important to me.

Nazia Asad you gave a very thorough and interesting answer. Studying data analytics, and realizing just what a store like Target collects on you, makes me want to delete myself from the internet and go live in the middle of the forest in a treehouse off the grid. I had ended up deleting 600 "friends" from Facebook (friends of friends of friends, it seems a measure of popularity is when you hit the 5,000 friend mark on Facebook and it cuts you off) because men were incredibly inappropriate in private messages (which included graphic pictures). Men I didn't even know. After a couple hours of studying, I flip through instagram. Totally mindless activity. And on there-weird men with the grammar of toddlers are trolling for "relationships on instagram". That is a thing? It's akin to bringing home a stranger in a dive bar.

My point is, defining cybercrime and cyberstalking, including cyberbullying. It is something I feel myself drawn to as a possible career (anybody have advice on careers for a data scientist in law enforcement; a data scientist that does not want to be a cop?) and I'd like to redefine that in cyber sexual harassment. I'm sure it doesn't just happen to women; but, nearly all of my friends have posted on Facebook how they have received, to put it bluntly, "dick pics" and sometimes "masturbation videos" sent to them by men that they received friend requests from. I received 5 this year. I reported them to Facebook and blocked the person, than took a weed whacker to Facebook and "visit" friends maybe once a week. I'm focused on building a professional profile on LinkedIn.

I copied your post so I could further research this. Very interesting discussion.

Respected Gina, yes women are trolled more, harrassed more, cyber bullied more, on social networking sites; the mindset behind that Cyber bullying of women is very unintellectual and unethical, but your answer is thought provoking and it leads to searching for many answers, stay blessed always!

Thank you very much for your answers, for comments and interesting scientific information.

These types of mutual discussions lead to interesting, jointly formulated conclusions.

I invite you to continue the discussion.

Does anyone from you conduct research in this area? Does anyone of you research the problem of data analysis applications in Big Data for the purpose of improving cyber security techniques? I am asking because in some of my publications I am dealing with this issue and I would like to get to know different views on this subject.

I would like to learn more about this and try to create (albeit a probably small) research project on it. Any ideas? Thank you.

Dear Friends and Colleagues of RG

I described the problem of cybercrime in publications:

Chapter Bezpieczeństwo bankowości internetowej i uwarunkowania elekt...

Chapter Propaganda i świadomość w procesie radykalizacji - wzmacnian...

Chapter Determinanty rozwoju cyberprzestępczych ataków na systemy in...

Chapter Analiza bezpieczeństwa ochrony systemów informatycznych w ko...

Chapter Rozwój złośliwego oprogramowania ransomware jako nowy wymiar...

Article Ochrona transferu danych osobowych w cyberprzestrzeni

Chapter Prawno-społeczne determinanty bezpieczeństwa gromadzenia i t...

Article Zagrożenia rozwoju i bezpieczeństwo bankowości elektronicznej

Chapter Przestępczość elektroniczna i kradzież poufnych informacji –...

I invite you to discussion and cooperation.

Thank you very much

Best wishes