Detection of Malicious Software Using Machine Learning Techniques

Sneha Reddy

ISBN 10: 6206737519 / ISBN 13: 9786206737513

Editore: LAP LAMBERT Academic Publishing, 2023

Riguardo questo articolo

nach der Bestellung gedruckt Neuware - Printed after ordering - Malware is the collective name for a number of malicious software variants, including viruses, worm, Trojan and Adware. Shorthand for malicious software, malware typically consists of code developed by cyber attackers, designed to cause extensive damage to data and systems or to gain unauthorized access. The exponential growth and complexity of malware is a big problem for the computer and network security. In the past decade, there has been a tremendous increase in the dependency on the computer systems. Almost every task ranging from daily life activities to business activities have been automated. Two research communities are working in parallel towards their objectives. One is developing the malicious software and second is developing defensive software to protect the systems from malware attacks.

Codice articolo 9786206737513

Dati bibliografici

• Titolo: Detection of Malicious Software Using Machine Learning Techniques
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 6206737519
• ISBN 13: 9786206737513
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 5 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 5 millimetri di profondità
• Peso: 119 grammi

Descrizione articolo

Riassunto

Malware is the collective name for a number of malicious software variants, including viruses, worm, Trojan and Adware. Shorthand for malicious software, malware typically consists of code developed by cyber attackers, designed to cause extensive damage to data and systems or to gain unauthorized access. The exponential growth and complexity of malware is a big problem for the computer and network security. In the past decade, there has been a tremendous increase in the dependency on the computer systems. Almost every task ranging from daily life activities to business activities have been automated. Two research communities are working in parallel towards their objectives. One is developing the malicious software and second is developing defensive software to protect the systems from malware attacks.