Results 31 to 40 of about 165,511 (160)
Integrated Replay Spoofing-Aware Text-Independent Speaker Verification
Applied Sciences, 2020 A number of studies have successfully developed speaker verification or presentation attack detection systems. However, studies integrating the two tasks remain in the preliminary stages.
Hye-jin Shim +3 more
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DDoS Attack Detection and Attacker Identification
International Journal of Computer Applications, 2012 DDoS attack is a form of DoS attack in which attacker uses authorized user IP address to attack on a particular victim. Of the two types of attack it falls in the active category. The main aim of the attacker is to jam the resources in order to deny services to the recipient. The attacker can use several strategies to achieve this goal, one of which is
S. K. Jena, Brajesh Kashyap
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Low Latency Detection of Sparse False Data Injections in Smart Grids
IEEE Access, 2018 We study low-latency detections of sparse false data injection attacks in power grids, where an adversary can maliciously manipulate power grid operations by modifying measurements at a small number of smart meters. When a power grid is under attack, the
Israel Akingeneye, Jingxian Wu
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Кібербезпека: освіта, наука, технікаThe subject matter of this research is the comprehensive analysis and development of an automated network traffic classification system for Distributed Denial of Service (DDoS) attack detection.
Ольга Василенко +1 more
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IET Information Security, 2023 A new type of Collusive Interest Flooding Attack (CIFA), Improved Collusive Interest Flooding Attack (I‐CIFA), which originates from CIFA with a stronger concealment, higher attack effect, lower attack cost, and wider attack range in Named Data ...
Meng Yue, Silin Peng, Wenzhi Feng
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Attack-Agnostic Adversarial Detection
CoRR, 2022 The growing number of adversarial attacks in recent years gives attackers an advantage over defenders, as defenders must train detectors after knowing the types of attacks, and many models need to be maintained to ensure good performance in detecting any upcoming attacks.
Jiaxin Cheng +3 more
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Attack simulation and signature extraction of low-rate DDoS
Tongxin xuebao, 2008 LDDoS （low-rate distributed denial-of-service） was a new type of DDoS attack. It had small traffic and cov- ered by normal network traffic. LDDoS attack was so stealthy that the detection and defense approaches of traditional DDoS could not be effective.
WU Zhi-jun, ZHANG Dong
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An Shilling Attack Detection Algorithm Based on Item Popularity and Novelty Degree Features
工程科学与技术, 2017 :The existing supervised detection algorithms have low precision when they detect shilling attacks.To address this problem,a shilling attack detection algorithm based on the features of popularity and novelty degree was proposed.Firstly,according to the ...
于洪涛, 周倩楠, 张付志
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Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT
IEEE AccessMachine learning-based Distributed Denial of Service (DDoS) attack detection systems have proven effective in detecting and preventing DDoD attacks in Internet of Things (IoT) systems.
Yonas Kibret Beshah +2 more
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Intrusion Detection of NSM Based DoS Attacks Using Data Mining in Smart Grid
Energies, 2012 In this paper, we analyze the Network and System Management (NSM) requirements and NSM data objects for the intrusion detection of power systems; NSM is an IEC 62351-7 standard.
JungChan Na +5 more
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