Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ1 Regularization
In recent years, online social media information has been the 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...
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| Published in | Sensors (Basel, Switzerland) Vol. 18; no. 5; p. 1380 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
29.04.2018
MDPI |
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| Online Access | Get full text |
| ISSN | 1424-8220 1424-8220 |
| DOI | 10.3390/s18051380 |
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| Abstract | In recent years, online social media information has been the 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 ℓ 1 regularization. |
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| AbstractList | In recent years, online social media information has been the 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 ℓ 1 regularization. In recent years, online social media information has been the 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 ℓ 1 regularization. In recent years, online social media information has been the 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 onℓ1regularization. In recent years, online social media information has been the 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 ℓ 1 regularization.In recent years, online social media information has been the 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 ℓ 1 regularization. |
| Author | Toscano-Medina, Karina Perez-Meana, Hector Hernandez-Suarez, Aldo Sanchez-Perez, Gabriel Olivares-Mercado, Jesus Martinez-Hernandez, Victor Sanchez, Victor |
| AuthorAffiliation | 1 Instituto Politecnico Nacional, ESIME Culhuacan, Mexico City 04440, Mexico; ahernandezs1325@alumno.ipn.mx (A.H.-S.); gasanchezp@ipn.mx (G.S.-P.); likatome@gmail.com (K.T.-M.); vicman27df@hotmail.com (V.M.-H.); jolivares@ipn.mx (J.O.-M.) 2 Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK; v.f.Sanchez-Silva@warwick.ac.uk |
| AuthorAffiliation_xml | – name: 2 Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK; v.f.Sanchez-Silva@warwick.ac.uk – name: 1 Instituto Politecnico Nacional, ESIME Culhuacan, Mexico City 04440, Mexico; ahernandezs1325@alumno.ipn.mx (A.H.-S.); gasanchezp@ipn.mx (G.S.-P.); likatome@gmail.com (K.T.-M.); vicman27df@hotmail.com (V.M.-H.); jolivares@ipn.mx (J.O.-M.) |
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| Cites_doi | 10.1145/243199.243206 10.1109/INFCOMW.2011.5928903 10.1093/oso/9780198807964.003.0001 10.1002/asi.23456 10.1371/journal.pone.0150989 10.3390/s17091949 10.1109/RTSI.2016.7740574 10.1109/ISI.2016.7745480 10.1007/978-3-642-15939-8_42 10.1109/ICIT.2016.7474819 10.7763/LNSE.2014.V2.134 10.1111/j.2517-6161.1996.tb02080.x 10.1109/TSG.2017.2664043 10.1109/ICACSIS.2016.7872727 10.1109/ISI.2016.7745500 10.1109/MIS.2012.6 10.1109/CSCloud.2017.61 10.1016/j.jnca.2017.10.011 10.1561/1500000011 10.21272/sec.2017.1-03 10.1007/978-3-642-13547-7_14 10.5121/ijdps.2012.3109 10.1017/CBO9780511801389 10.1007/978-3-642-16184-1_1 10.1016/j.diin.2006.03.001 10.1007/978-3-642-29262-0_27 10.1016/j.procs.2016.06.076 10.1177/0894439313493979 10.1109/eCrime.2012.6489519 10.1016/j.knosys.2014.10.013 |
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| References | ref_14 ref_13 ref_11 ref_10 ref_53 Lau (ref_22) 2012; 1 (ref_26) 2013; 31 Hastie (ref_50) 2007; 32 ref_51 ref_19 ref_17 ref_16 ref_15 Haustein (ref_7) 2016; 67 Yin (ref_29) 2012; 27 ref_25 ref_24 ref_23 ref_21 ref_28 Wang (ref_43) 2015; 73 Pak (ref_3) 2010; 10 Tibshirani (ref_52) 1996; 58 ref_35 ref_34 ref_33 ref_32 ref_31 ref_30 Balakrishnan (ref_38) 2014; 2 Schoen (ref_27) 2013; 23 ref_39 ref_37 ref_47 ref_46 ref_45 Gai (ref_20) 2017; 8 Rogers (ref_42) 2006; 3 ref_41 ref_40 Pang (ref_44) 2008; 2 ref_1 Saini (ref_36) 2016; 89 ref_2 ref_49 ref_48 ref_9 ref_8 ref_5 ref_4 Gai (ref_18) 2018; 103 Zhang (ref_12) 2017; 12 ref_6 |
| References_xml | – volume: 12 start-page: 144 year: 2017 ident: ref_12 article-title: Twitter Trends Manipulation: A First Look Inside the Security of Twitter Trending publication-title: IEEE Trans. Inf. Forensics Secur. – ident: ref_9 – ident: ref_32 – volume: 23 start-page: 528 year: 2013 ident: ref_27 article-title: The power of prediction with social media publication-title: Intern. Res. – ident: ref_51 – ident: ref_53 doi: 10.1145/243199.243206 – volume: 10 start-page: 19 year: 2010 ident: ref_3 article-title: Twitter as a Corpus for Sentiment Analysis and Opinion Mining publication-title: LREc – ident: ref_30 doi: 10.1109/INFCOMW.2011.5928903 – ident: ref_37 doi: 10.1093/oso/9780198807964.003.0001 – volume: 67 start-page: 232 year: 2016 ident: ref_7 article-title: Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter publication-title: J. Assoc. Inf. Sci. Technol. doi: 10.1002/asi.23456 – ident: ref_16 – ident: ref_5 doi: 10.1371/journal.pone.0150989 – ident: ref_39 – ident: ref_6 doi: 10.3390/s17091949 – ident: ref_1 – ident: ref_10 doi: 10.1109/RTSI.2016.7740574 – ident: ref_35 – ident: ref_25 doi: 10.1109/ISI.2016.7745480 – ident: ref_28 doi: 10.1007/978-3-642-15939-8_42 – ident: ref_8 – ident: ref_11 doi: 10.1109/ICIT.2016.7474819 – volume: 2 start-page: 262 year: 2014 ident: ref_38 article-title: Stemming and lemmatization: A comparison of retrieval performances publication-title: Lect. Notes Softw. Eng. doi: 10.7763/LNSE.2014.V2.134 – ident: ref_4 – ident: ref_31 – volume: 58 start-page: 267 year: 1996 ident: ref_52 article-title: Regression shrinkage and selection via the lasso publication-title: J. R. Stat. Soc. Ser. B Methodol. doi: 10.1111/j.2517-6161.1996.tb02080.x – ident: ref_48 – volume: 8 start-page: 2431 year: 2017 ident: ref_20 article-title: Spoofing-jamming attack strategy using optimal power distributions in wireless smart grid networks publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2017.2664043 – ident: ref_17 doi: 10.1109/ICACSIS.2016.7872727 – ident: ref_45 – ident: ref_23 doi: 10.1109/ISI.2016.7745500 – volume: 27 start-page: 52 year: 2012 ident: ref_29 article-title: Using social media to enhance emergency situation awareness publication-title: IEEE Intell. Syst. doi: 10.1109/MIS.2012.6 – ident: ref_19 doi: 10.1109/CSCloud.2017.61 – volume: 103 start-page: 262 year: 2018 ident: ref_18 article-title: A survey on FinTech publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2017.10.011 – volume: 1 start-page: 217 year: 2012 ident: ref_22 article-title: Social media analytics for cyber attack forensic publication-title: Int. Res. J. Eng. Technol. – ident: ref_34 – volume: 2 start-page: 1 year: 2008 ident: ref_44 article-title: Opinion mining and sentiment analysis publication-title: Found. Trends Inf. Retr. doi: 10.1561/1500000011 – ident: ref_21 doi: 10.21272/sec.2017.1-03 – ident: ref_40 – ident: ref_41 doi: 10.1007/978-3-642-13547-7_14 – ident: ref_14 – ident: ref_24 doi: 10.5121/ijdps.2012.3109 – ident: ref_15 doi: 10.1017/CBO9780511801389 – ident: ref_13 doi: 10.1007/978-3-642-16184-1_1 – volume: 3 start-page: 97 year: 2006 ident: ref_42 article-title: A two-dimensional circumplex approach to the development of a hacker taxonomy publication-title: Digit. Investig. doi: 10.1016/j.diin.2006.03.001 – ident: ref_33 – ident: ref_2 – ident: ref_46 – ident: ref_47 doi: 10.1007/978-3-642-29262-0_27 – volume: 89 start-page: 313 year: 2016 ident: ref_36 article-title: On Continent and Script-Wise Divisions-Based Statistical Measures for Stop-words Lists of International Languages publication-title: Procedia Comput. Sci. doi: 10.1016/j.procs.2016.06.076 – volume: 32 start-page: 407 year: 2007 ident: ref_50 article-title: Lars: Least Angle Regression publication-title: Ann. Stat. – volume: 31 start-page: 649 year: 2013 ident: ref_26 article-title: A meta-analysis of state-of-the-art electoral prediction from Twitter data publication-title: Soc. Sci. Comput. Rev. doi: 10.1177/0894439313493979 – ident: ref_49 doi: 10.1109/eCrime.2012.6489519 – volume: 73 start-page: 311 year: 2015 ident: ref_43 article-title: Novel feature selection method based on harmony search for email classification publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2014.10.013 |
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| Title | Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ1 Regularization |
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