Results 91 to 100 of about 3,143,718 (149)

Application of security analysis technology for network big data

open access: yesDianxin kexue, 2017
Big data technology and solutions have been continuously booming for several years,which has brought much innovation ideas and opportunities for security analysis.From the perspective of telecom operators,the architecture and key technology of the big ...
Laifu WANG   +3 more
doaj  

Modelling fraud detection by attack trees and Choquet integral [PDF]

open access: yes
Modelling an attack tree is basically a matter of associating a logical ÒndÓand a logical ÒrÓ but in most of real world applications related to fraud management the Ònd/orÓlogic is not adequate to effectively represent the relationship between a parent ...
Silvio Giove   +2 more
core  

High Performance Network Worm Detection Engine Using Memory Efficient Circular Buffer. [PDF]

open access: yes, 2007
This paper presents the implementation of a memory efficient circular buffer to ensure a high performance network worm detection engine.
Pasha, Muhammad Fermi   +4 more
core  

Detection and Prevention of Smishing Attacks

open access: yesCoRR
Phishing is an online identity theft technique where attackers steal users personal information, leading to financial losses for individuals and organizations. With the increasing adoption of smartphones, which provide functionalities similar to desktop computers, attackers are targeting mobile users.
openaire   +3 more sources

ATTACK!!!!!!!!!!!!*

open access: yes
The September 11 attacks were a series of four coordinated terrorist attacks by the Islamic terrorist group al-Qaeda against the United States on the morning of Tuesday, September 11, 2001. The attacks resulted in 2,977 fatalities, over 25,000 injuries,
Beards, Daniel E.
core  

Detecting Overlay Attacks in Android

open access: yesProcedia Computer Science
Animesh Kar   +2 more
openaire   +1 more source

Detection by Attack: Detecting Adversarial Samples by Undercover Attack

2020
The safety of artificial intelligence systems has aroused great concern due to the vulnerability of deep neural networks. Studies show that malicious modifications to the inputs of a network classifier, can fool the classifier and lead to wrong predictions. These modified inputs are called adversarial samples.
Qifei Zhou   +4 more
openaire   +1 more source

Detection of attack strategies

2013 International Conference on Risks and Security of Internet and Systems (CRiSIS), 2013
An intrusion and attack detection system usually focuses on classifying a record as either normal or abnormal. In some cases such as insider attacks, attackers rely on feedback from the attacked system, which enables them to gradually manipulate their attempts in order to avoid detection. This paper proposes the notion of accumulative manipulation that
Suliman A. Alsuhibany   +2 more
openaire   +2 more sources

Statistical attack detection

Proceedings of the third ACM conference on Recommender systems, 2009
It has been shown in recent years that effective profile injection or shilling attacks can be mounted on standard recommendation algorithms. These attacks consist of the insertion of bogus user profiles into the system database in order to manipulate the recommendation output, for example to promote or demote the predicted ratings for a particular ...
Neil Hurley   +2 more
openaire   +2 more sources

Attack chain detection

Statistical Analysis and Data Mining: The ASA Data Science Journal, 2015
AbstractA targeted network intrusion typically evolves through multiple phases, termed the attack chain. When appropriate data are monitored, these phases will generate multiple events across the attack chain on a compromised host. It is shown empirically that events in different parts of the attack chain are largely independent under nonattack ...
Joseph Sexton   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy