1.

Record Nr.

UNISA996418193003316

Autore

Iqbal Farkhund

Titolo

Machine Learning for Authorship Attribution and Cyber Forensics [[electronic resource] /] / by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-61675-4

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (IX, 158 p. 38 illus., 28 illus. in color.)

Collana

International Series on Computer, Entertainment and Media Technology, , 2364-9488

Disciplina

363.25028563

Soggetti

Data mining

Machine learning

Computer crimes

Data Mining and Knowledge Discovery

Machine Learning

Cybercrime

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

1. Cybersecurity And Cybercrime Investigation -- 2. Machine Learning Framework For Messaging Forensics -- 3. Header-Level Investigation And Analyzing Network Information -- 4. Authorship Analysis Approaches -- 5. Authorship Analysis - Writeprint Mining For Authorship Attribution -- 6. Authorship Attribution With Few Training Samples -- 7. Authorship Characterization -- 8. Authorship Verification -- 9. Authorship Attribution Using Customized Associative Classification -- 10. Criminal Information Mining -- 11. Artificial Intelligence And Digital Forensics.

Sommario/riassunto

The book first explores the cybersecurity’s landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics



but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes. Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potential suspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified criminals. Finally, the aim of the book is not only to investigate the crimes and identify the potential suspects but, as well, to collect solid and precise forensics evidence to prosecute the suspects in the court of law. .

2.

Record Nr.

UNISALENTO991000449029707536

Autore

Morlino, Tommaso

Titolo

Discorsi parlamentari / Tommaso Morlino

Pubbl/distr/stampa

[Roma] : Senato della Repubblica, Segretariato generale, Servizio studi, 1993

Descrizione fisica

xxii, 562 p. : [1] ritr. ; 25 cm.

Altri autori (Enti)

Italia : Senato

Disciplina

945.092

328.45

Soggetti

Morlino, Tommaso Discorsi parlamentari 1968-1983

Morlino, Tommaso Discorsi parlamentari 1968-1983

Italia Politica 1968-1983

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9910690867203321

Titolo

HIV/AIDS among African Americans [[electronic resource]]

Pubbl/distr/stampa

[Atlanta, Ga.], : Dept. of Health & Human Services, Centers for Disease Control and Prevention, [2003?]-

[Atlanta, GA] : , : U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for HIV, STD, and TB Prevention, Division of HIV/AIDS Prevention, , [1999]

Descrizione fisica

electronic texts, volumes : HTML, digital, PDF files

Collana

2006- : CDC HIV/AIDS fact sheet

Soggetti

AIDS (Disease) - United States

African Americans - Diseases

HIV infections - United States

Public health surveillance - United States

Statistics.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Title from caption (viewed on Oct. 12, 2006).

Latest issue consulted: June 2007 (viewed on July 17, 2007).

Nota di bibliografia

Includes bibliographical references.



4.

Record Nr.

UNICASLO10245156

Autore

Porphyrius

Titolo

Sentenze / Porfirio ; introduzione, traduzione e commento di Massimo Della Rosa

Pubbl/distr/stampa

Milano, : Garzanti, 1992

Titolo uniforme

Aphormai pros ta noēta

ISBN

8811584817

9788811364818

Descrizione fisica

XXXVIII, 193 p. ; 18 cm

Collana

I grandi libri Garzanti ; 481

Lingua di pubblicazione

Italiano

Greco antico

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Testo orig. a fronte