Abstract
Mobile botnet has recently evolved due to the rapid growth of smartphone technologies. Unlike legacy botnets, mobile devices are characterized by limited power capacity, calculation capabilities, and wide communication methods. As such, the logical topology structure and communication mode have to be redesigned for mobile botnets to narrow energy gap and lower the reduction speed of nodes. In this paper, we try to design a novel Gini-based energy balancing scheme (Gleer) for the atomic network, which is a fundamental component of the heterogeneous multilayer mobile botnet. Firstly, for each operation cycle, we utilize the dynamic energy threshold to categorize atomic network into two groups. Then, the Gini coefficient is introduced to estimate botnet energy gap and to regulate the probability for each node to be picked as a region C&C server. Experimental results indicate that our proposed method can effectively prolong the botnet lifetime and prevent the reduction of network size. Meanwhile, the stealthiness of botnet with Gleer scheme is analyzed from users’ perspective, and results show that the proposed scheme works well in the reduction of user’ detection awareness.
Highlights
With the improvement of integrated-circuit technology, smartphones begin to provide better support for applications and services
The rest of the paper is organized as follows: Section 2 describes the current researches on the mobile botnet topology and some cluster-head selection schemes for sensor networks (SNs); Section 3 shows the proposed command and conquer (C&C) server selection scheme; Section 4 shows the experiment and result analysis; Section 5 presents the overall conclusions of this paper
We proposed a new cluster head (CH) selection scheme (Gleer) for heterogeneous multilayer mobile botnet
Summary
With the improvement of integrated-circuit technology, smartphones begin to provide better support for applications and services. In the paper, we propose a Gini-based energy balancing scheme for defending mobile botnet attack, which can promote security researchers to investigate and develop new countermeasures before mobile botnets become a major threat [2]. Since the centralized scheme may encounter a single-point-of-failure, and distributed one is with high communication cost, most works on mobile botnet topology design are based on heterogeneous multilayer [8, 9], similar to cluster division of SNs. The defensive strategies, which target the mobile botnet designed based on Gleer, should consider comprehensive factors instead of single factor like node power and use machine learning to explore potential insecurity features to detect the mobile botnet. The rest of the paper is organized as follows: Section 2 describes the current researches on the mobile botnet topology and some cluster-head selection schemes for SNs; Section 3 shows the proposed C&C server selection scheme; Section 4 shows the experiment and result analysis; Section 5 presents the overall conclusions of this paper
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