Mohlo by se vám také líbit

Více informací o knize Machine-Learning Approach to Phishing Detection and Defense

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 233 bodů

Anotace knihy

Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats. * Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks* Help your business or organization avoid costly damage from phishing sources* Gain insight into machine-learning strategies for facing a variety of information security threats

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Machine-Learning Approach to Phishing Detection and Defense
• Autor: I S Amiri
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 100
• EAN: 9780128029275
• ISBN: 0128029277
• ID: 09185308
• Nakladatelství: Syngress Media,U.S.
• Hmotnost: 158 g
• Rozměry: 154 × 229 × 12 mm
• Datum vydání: 08. December 2014

Oblíbené z jiného soudku

---

---

---