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Detecting DDoS attacks with Hadoop [PDF]
Proceedings of The ACM CoNEXT Student Workshop, 2011 Recent distributed denial-of-service (DDoS) attacks have demonstrated horrible destructive power by paralyzing web servers within short time. As the volume of Internet traffic rapidly grows up, the current DDoS detection technologies have met a new challenge that should efficiently deal with a huge amount of traffic within the affordable response time.
Yeonhee Lee, Youngseok Lee 0002
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A deployment value model for intrusion detection sensors [PDF]
, 2009 The value of an intrusion detection sensor is often associated with its data collection and analysis features. Experience tells us such sensors fall under a range of different types and are diverse in their operational characteristics. There is a need
Hao Chen +13 more
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Finger Vein Presentation Attack Detection Based on Texture Analysis
, 2021 Biometrics is an effective way to identify and authenticate users based on their personal traits. Among all kinds of hand-based biometrics, finger vein appears to be emerging biometrics that has received a great attention due to its rich information ...
Teng, Jackson Horlick +3 more
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Neural network-based distributed denial of service (DDoS) attack detection in smart home networks
, 2022 Due to various limitations, such as limited power supply, the lack of storage capability and processing power, Internet of Things-based smart home networks have become vulnerable to various cyber-security attacks including Distributed Denial of ...
Ahmad, F +3 more
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Modeling and detection of complex attacks [PDF]
2007 Third International Conference on Security and Privacy in Communications Networks and the Workshops - SecureComm 2007, 2007 A complex attack is a sequence of temporally and spatially separated legal and illegal actions each of which can be detected by various IDS but as a whole they constitute a powerful attack. IDS fall short of detecting and modeling complex attacks therefore new methods are required.
Seyit Ahmet Çamtepe, Bülent Yener
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A Cross-database Study of Voice Presentation Attack Detection
, 2019 Despite an increasing interest in speaker recognition technologies, a significant obstacle still hinders their wide deployment --- their high vulnerability to spoofing or presentation attacks. These attacks can be easy to perform.
Marcel, Sébastien +3 more
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, 2022 The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter.
Prakyath Dayananda +9 more
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8. 08102 Manifesto – Perspectives Workshop: Network Attack Detection and Defense
, 2008 This manifesto is the result of the Perspective Workshop Network Attack Detection and Defense held in Schloss Dagstuhl (Germany) from March 2nd – 6th, 2008.
Carle, Georg +5 more
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Attack characterisation of compressed images [PDF]
, 2003 We propose the use of robust watermarks to enable the characterisation of attacks even after lossy compression, such as JPEG and JPEG2000. A previously constructed Bayesian framework is used to allow characterisation of attacks from a predetermined ...
Knowles, HD +3 more
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Towards Examining Supervised and Unsupervised Learning for IoT Attack Detection
, 2023 The Internet of Things (IoT) is the term used to describe the numerous physical objects/devices connected to the Internet and collecting and exchanging data globally. IoT devices are especially susceptible to network attacks, including but not limited to
Govindaraju, Nevetha
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