Results 241 to 250 of about 3,573,456 (297)
Lightweight machine learning framework for efficient DDoS attack detection in IoT networks. [PDF]
Sci RepNawaz M +4 more
europepmc +1 more source
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
Annals of Clinical and Translational Neurology, EarlyView.The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti +6 more
wiley +1 more source
Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez +5 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai +13 more
wiley +1 more source
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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
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
Detection of attack strategies
2013 International Conference on Risks and Security of Internet and Systems (CRiSIS), 2013An 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
DDoS attack detection and wavelets
Proceedings. 12th International Conference on Computer Communications and Networks (IEEE Cat. No.03EX712), 2004This paper presents a systematic method for DDoS attack detection. DDoS attack can be considered a system anomaly or misuse from which abnormal behavior is imposed on network traffic. Attack detection can be performed via abnormal behavior identification.
Lan Li, Gyungho Lee
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Computer, 1997
As Internet based and intranet based network systems have evolved, they have become invaluable tools that businesses can use to share information and conduct business with online partners. However, hackers have also learned to use these systems to access private networks and their resources.
openaire +1 more source
As Internet based and intranet based network systems have evolved, they have become invaluable tools that businesses can use to share information and conduct business with online partners. However, hackers have also learned to use these systems to access private networks and their resources.
openaire +1 more source
A Calculus to Detect Guessing Attacks
2009We present a calculus for detecting guessing attacks, based on oracles that instantiate cryptographic functions. Adversaries can observe oracles, or control them either on-line or off-line. These relations can be established by protocol analysis in the presence of a Dolev-Yao intruder, and the derived guessing rules can be used together with standard ...
Bogdan Groza, Marius Minea
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Scalable Detection of Cyber Attacks
2011Attackers can exploit vulnerabilities to incrementally penetrate a network and compromise critical systems. The enormous amount of raw security data available to analysts and the complex interdependencies among vulnerabilities make manual analysis extremely labor-intensive and error-prone. To address this important problem, we build on previous work on
Massimiliano Albanese +3 more
openaire +2 more sources