Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Alkasassbeh, Mouhammd"'
The internet has caused tremendous changes since its appearance in the 1980s, and now, the Internet of Things (IoT) seems to be doing the same. The potential of IoT has made it the center of attention for many people, but, where some see an opportuni
Externí odkaz:
http://arxiv.org/abs/2203.04347
Recently, the Distributed Denial of Service (DDOS) attacks has been used for different aspects to denial the number of services for the end-users. Therefore, there is an urgent need to design an effective detection method against this type of attack.
Externí odkaz:
http://arxiv.org/abs/2107.12299
Diabetic Retinopathy (DR) is among the worlds leading vision loss causes in diabetic patients. DR is a microvascular disease that affects the eye retina, which causes vessel blockage and therefore cuts the main source of nutrition for the retina tiss
Externí odkaz:
http://arxiv.org/abs/2106.12545
The Internet as we know it Today, comprises several fundamental interrelated networks, among which is the Internet of Things (IoT). Despite their versatility, several IoT devices are vulnerable from a security perspective, which renders them as a fav
Externí odkaz:
http://arxiv.org/abs/2010.13852
With increasing technology developments, there is a massive number of websites with varying purposes. But a particular type exists within this large collection, the so-called phishing sites which aim to deceive their users. The main challenge in dete
Externí odkaz:
http://arxiv.org/abs/2002.07223
Autor:
Madi, Nisreen, Alkasassbeh, Mouhammd
Network anomalies are destructive to networks. Intrusion detection systems monitor network component behavior to detect unusual activity (i.e., possible threats). Application-layer Simple Network Management Protocol (SNMP) has been used for decades v
Externí odkaz:
http://arxiv.org/abs/1909.02547
Many approaches have evolved to enhance network attacks detection anomaly using SNMP-MIBs. Most of these approaches focus on machine learning algorithms with a lot of SNMP-MIB database parameters, which may consume most of hardware resources (CPU, me
Externí odkaz:
http://arxiv.org/abs/1906.00865
SNMP-MIB is a widely used approach that uses machine learning to classify data and obtain results, but using SNMP-MIB huge dataset is not efficient and it is also time and resources consuming. In this paper, a REP Tree, J48(Decision Tree) and Random
Externí odkaz:
http://arxiv.org/abs/1906.00863
It is difficult to implement an efficient detection approach for Intrusion Detection Systems (IDS) and many factors contribute to this challenge. One such challenge concerns establishing adequate boundaries and finding a proper data source. Typical I
Externí odkaz:
http://arxiv.org/abs/1811.08954
In general, the industry of malware has come to be a market which brings on loads of money by investing and implementing high end technology to escape traditional detection while vendors of anti-malware spend thousands if not millions of dollars to s
Externí odkaz:
http://arxiv.org/abs/1810.07252