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Journal ArticleDOI

Inside the Slammer worm

TLDR
The Slammer worm spread so quickly that human response was ineffective, and why was it so effective and what new challenges do this new breed of worm pose?
Abstract
The Slammer worm spread so quickly that human response was ineffective. In January 2003, it packed a benign payload, but its disruptive capacity was surprising. Why was it so effective and what new challenges do this new breed of worm pose?.

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Citations
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Journal ArticleDOI

BMIAE: blockchain-based multi-instance Iris authentication using additive ElGamal homomorphic encryption

TL;DR: Experimental results show that BMIAE provides improved accuracy, and eliminates the need to trust the centralised server when compared to the state-of-the-art approaches.
Journal ArticleDOI

Where have the worms and viruses gone?—new trends in malware

TL;DR: Although many new worms and viruses surface every week, they are becoming less widespread than those in previous years, and bots and botnets are becoming more prolific and troublesome; botnets consisting of hundreds of thousands of bots or even more are not uncommon.
Journal ArticleDOI

Epidemic spreading in metapopulation networks with heterogeneous infection rates.

TL;DR: This work introduces a heterogeneous infection rate to characterize the effect of nodes’ local properties, such as population density, individual health habits, and social conditions, on epidemic infectivity, and finds that large fluctuations of the infection rate have a profound impact on the epidemicreshold as well as the temporal behavior of the prevalence above the epidemic threshold.
Proceedings ArticleDOI

CloudShield: Efficient anti-malware smartphone patching with a P2P network on the cloud

TL;DR: The peer-to-peer network of clones is used to compute the best strategy to patch the smartphones in such a way that the number of devices to patch is low (to reduce the load on the cellular infrastructure) and that the worm is stopped quickly.
Book ChapterDOI

Detecting anomalous network traffic with combined fuzzy-based approaches

TL;DR: The combined fuzzy-based approaches to detect the anomalous network traffic such as DoS/DDoS or probing attacks, which include Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy C-Means (FCM) clustering are introduced.
References
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Proceedings Article

Inferring internet denial-of-service activity

TL;DR: This article presents a new technique, called “backscatter analysis,” that provides a conservative estimate of worldwide denial-of-service activity, and believes it is the first to provide quantitative estimates of Internet-wide denial- of- service activity.
Proceedings Article

How to Own the Internet in Your Spare Time

TL;DR: This work develops and evaluates several new, highly virulent possible techniques: hit-list scanning, permutation scanning, self-coordinating scanning, and use of Internet-sized hit-lists (which creates a flash worm).
Proceedings ArticleDOI

Code-Red: a case study on the spread and victims of an internet worm

TL;DR: The experience of the Code-Red worm demonstrates that wide-spread vulnerabilities in Internet hosts can be exploited quickly and dramatically, and that techniques other than host patching are required to mitigate Internet worms.
Proceedings ArticleDOI

Internet quarantine: requirements for containing self-propagating code

TL;DR: The design space of worm containment systems is described using three key parameters - reaction time, containment strategy and deployment scenario - and the lower bounds that any such system must exceed to be useful today are demonstrated.
Journal ArticleDOI

Inferring Internet denial-of-service activity

TL;DR: In this paper, the authors present a new technique, called backscatter analysis, that provides a conservative estimate of worldwide denial-of-service activity, and quantitatively assess the number, duration and focus of attacks, and qualitatively characterize their behavior.