000			03956nam a22004455i 4500
999			_c334691 _d334691 _x1
001			334691
003			ES-MaUEC
005			20230102114737.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			210104s2021 gw a s |||| 0|eng d
020			_a9783030614317
024	7		_a10.1007/978-3-030-61431-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A25 _b2021 EB
100	1		_aAlvari, Hamidreza _eautor _4http://id.loc.gov/vocabulary/relators/aut _9678573
245	1	0	_aIdentification of Pathogenic Social Media Accounts : _bFrom Data to Intelligence to Prediction _cby Hamidreza Alvari, Elham Shaabani, Paulo Shakarian
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (IX, 95 páginas) _b25 ilustraciones, 19 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aSpringerBriefs in Computer Science _x2191-5768
520	3		_aThis book sheds light on the challenges facing social media in combating malicious accounts, and aims to introduce current practices to address the challenges. It further provides an in-depth investigation regarding characteristics of "Pathogenic Social Media (PSM),"by focusing on how they differ from other social bots (e.g., trolls, sybils and cyborgs) and normal users as well as how PSMs communicate to achieve their malicious goals. This book leverages sophisticated data mining and machine learning techniques for early identification of PSMs, using the relevant information produced by these bad actors. It also presents proactive intelligence with a multidisciplinary approach that combines machine learning, data mining, causality analysis and social network analysis, providing defenders with the ability to detect these actors that are more likely to form malicious campaigns and spread harmful disinformation. Over the past years, social media has played a major role in massive dissemination of misinformation online. Political events and public opinion on the Web have been allegedly manipulated by several forms of accounts including "Pathogenic Social Media (PSM)" accounts (e.g., ISIS supporters and fake news writers). PSMs are key users in spreading misinformation on social media - in viral proportions. Early identification of PSMs is thus of utmost importance for social media authorities in an effort toward stopping their propaganda. The burden falls to automatic approaches that can identify these accounts shortly after they began their harmful activities. Researchers and advanced-level students studying and working in cybersecurity, data mining, machine learning, social network analysis and sociology will find this book useful. Practitioners of proactive cyber threat intelligence and social media authorities will also find this book interesting and insightful, as it presents an important and emerging type of threat intelligence facing social media and the general public.
988			_aSpringer_Computer_2021
650		7	_2embne _aSeguridad informática _9158200
650		7	_2embne _aRedes sociales en Internet _9431622
700	1		_aShaabani, Elham _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678574
700	1		_aShakarian, Paulo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678575
710	2		_aSpringerLink
776	0	8	_iPrinted edition: _z9783030614300
776	0	8	_iPrinted edition: _z9783030614324
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-61431-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _ek _zSI