scholarly journals Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ1 Regularization

Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1380 ◽  
Author(s):  
Aldo Hernandez-Suarez ◽  
Gabriel Sanchez-Perez ◽  
Karina Toscano-Medina ◽  
Victor Martinez-Hernandez ◽  
Hector Perez-Meana ◽  
...  
Keyword(s):  
Cyber Attacks ◽  
ℓ1 Regularization

scholarly journals Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ1 Regularization

2018 ◽  
Author(s):  
Aldo Hernandez-Suarez ◽  
Gabriel Sanchez-Perez ◽  
Karina Toscano-Medina ◽  
Victor Martinez-Hernandez ◽  
Hector Perez-Meana ◽  
...  
Keyword(s):  
Language Processing ◽  
Online Social Networks ◽  
Data Science ◽  
Cyber Attacks ◽  
Machine Learning Techniques ◽  
Security Attacks ◽  
Social Phenomena ◽  
Online Social Media ◽  
Social Events ◽  
ℓ1 Regularization

In recent years, online social media information has been subject of study in several data science fields due to its impact on users as a communication and expression channel. Data~gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based on sentiment analysis, which usually employs Natural Language Processing and Machine Learning techniques to interpret sentimental tendencies related to users opinions and make predictions about real events. Cyber attacks are not isolated from opinion subjectivity on online social networks. Various security attacks are performed by hacker activists motivated by reactions from polemic social events. In this paper, a methodology for tracking social data that can trigger cyber attacks is developed. Our main contribution lies in the monthly prediction of tweets with content related to security attacks and the incidents detected based on ℓ1 regularization.

Internal control in banks: Assessing the risk of cyber attacks

2019 ◽  
Vol 25 (3) ◽  
pp. 500-513
Author(s):  
P.V. Revenkov ◽  
Keyword(s):  
Internal Control ◽  
Cyber Attacks

Cyber attacks as a source of operational risk in electronic banking

2018 ◽  
Vol 24 (3) ◽  
pp. 629-640
Author(s):  
P.V. Revenkov ◽  
◽  
A.A. Berdyugin ◽  
Keyword(s):  
Operational Risk ◽  
Cyber Attacks ◽  
Electronic Banking

The invisible hole of information on SMB's cybersecurity

2019 ◽  
Vol 7 (1) ◽  
pp. 14-26
Author(s):  
Ruti Gafni ◽  
Tal Pavel
Keyword(s):  
Mass Communication ◽  
Cyber Attacks ◽  
Communication Media ◽  
Specific Information ◽  
Exploratory Research ◽  
Cyber Attack ◽  
Public Attention ◽  
Cyber Threats ◽  
Accessible Information ◽  
Types Of Information

Small and Medium Businesses (SMB) use Internet and computer-based tools in their daily processes, sometimes without being aware to the cyber threats, or without knowing how to be prepared in case of a cyber-attack, although they are a major target for cyber-attacks. Specific information about cybersecurity needed by SMBs, in order to cope with cyber threats, is not always available or easily accessible. In this study, a vast search of different types of information about SMBs’ cybersecurity was performed, in order to find whether a hole of accessible information exists in this area. This exploratory research covered general mass communication media channels, technological and professional cybersecurity websites, and academic journals, and found that indeed very few studies, articles and news items were published in this matter. Leveraging knowledge and awareness, diminishing the shame for reporting cyber-attacks, and increasing mass communication media interest and public attention, may be activities to cover this “invisible hole”.

Preventing and Detecting Cyber Attacks (Stl & Amf) on Additive Manufacturing (Am) Process Chain

2018 ◽  
Author(s):  
Anil Lamba ◽  
Satinderjeet Singh ◽  
Balvinder Singh ◽  
Natasha Dutta ◽  
Sivakumar Sai Rela Muni
Keyword(s):  
Additive Manufacturing ◽  
Cyber Attacks ◽  
Process Chain
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