Due to the surging popularity of various cryptocurrencies in recent years, a large number browser extensions have been developed as portals access relevant services, such cryptocurrency exchanges and wallets. This has stimulated wild growth themed malicious that cause heavy financial losses users legitimate service providers. They shown their capability evading stringent vetting processes exten...

A malicious peer’s behavior is one of the most challenging research areas of the P2P world. Our previous reputation-based trust model approach, which is based on the resource chain model (RCM), prevents malicious peers from spreading malicious contents among the open community. Moreover, a study on the malicious behavior over P2P community leads us to recognize a malicious node. The purpose of ...

Malicious Web content poses a serious threat to the Internet, organizations and users. Current approaches to detecting malicious Web content employ high-powered honey clients to scan the Web for potentially malicious pages. These approaches, while effective at detecting malicious content, have the drawbacks of being few and far between, presenting a single snapshot in time of very dynamic pheno...

The majority of existing malware detection techniques detects malicious codes by identifying malicious behavior patterns. However, they have difficulty identifying new or modified malicious behaviors; consequently, new techniques that can effectively and accurately detect new malicious behaviors are crucial. This paper proposes a method that defines the malicious behaviors of malware using conc...

As well known, the b-boundaries of the closed Friedman world model and of Schwarzschild solution consist of a single point. We study this phenomenon in a broader context of differential and structured spaces. We show that it is an equivalence relation ρ, defined on the Cauchy completed total space Ē of the frame bundle over a given space-time, that is responsible for this pathology. A singulari...

Recommender system has attracted much attention during the past decade, and many attack detection algorithms have been developed for better recommendation. Most previous approaches focus on the shilling attacks, where the attack organizer fakes a large number of user profiles by the same strategy to promote or demote an item. In this paper, we study a different attack style: unorganized malicio...