By Mu Zhang, Heng Yin
This SpringerBrief explains the rising cyber threats that undermine Android program defense. It additional explores the chance to leverage the state-of-the-art semantics and context–aware thoughts to guard opposed to such threats, together with zero-day Android malware, deep software program vulnerabilities, privateness breach and inadequate protection warnings in app descriptions. The authors start by way of introducing the historical past of the sphere, explaining the final working method, programming good points, and safeguard mechanisms. The authors catch the semantic-level habit of cellular functions and use it to reliably discover malware variations and zero-day malware. subsequent, they suggest an automated patch new release strategy to observe and block harmful details movement. A bytecode rewriting approach is used to restrict privateness leakage. User-awareness, a key issue of safety dangers, is addressed through instantly translating security-related application semantics into normal language descriptions. common habit mining is used to find and compress universal semantics. consequently, the produced descriptions are security-sensitive, human-understandable and concise.By masking the historical past, present threats, and destiny paintings during this box, the short is appropriate for either execs in and advanced-level scholars operating in cellular protection and functions. it's worthy for researchers, as well.
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Additional info for Android Application Security: A Semantics and Context-Aware Approach
In: Proceedings of the 2012 ACM conference on computer and communications security (CCS) 17. Octeau D, McDaniel P, Jha S, Bartel A, Bodden E, Klein J, Traon YL (2013) Effective intercomponent communication mapping in android with epicc: an essential step towards holistic security analysis. In: Proceedings of the 22nd USENIX security symposium 18. Au KWY, Zhou YF, Huang Z, Lie D (2012) PScout: analyzing the android permission specification. In: Proceedings of the 2012 ACM conference on computer and communications security (CCS) 19.
It extracts the sender’s phone number and message content by calling getOriginating- Address() and getMessageBody(). Both strings are encoded into an UrlEncoded- FormEntity object and enclosed into HttpEntityEnclosingRequestBase by using the setEntity() call. execute(). Zitmo variants may also exploit various other communication-related API calls for the sending purpose. sendTextMessage() to deliver the stolen information as a text message to the attacker’s phone. Such variations motivate us to consider graph similarity metrics, rather than an exact matching of API call behavior, when determining whether a sample app is benign or malicious.
An entry point of an API call is a program entry point that directly or indirectly triggers the call. From a user-awareness point of view, there are two kinds of entry points: user interfaces and background callbacks. Malware authors commonly exploit background callbacks to enable malicious functionalities without the user’s knowledge. startRecording()) is called stealthily . As a result, we must pay special attention to APIs activated from background callbacks. (3) Constant. Constants convey semantic information by revealing the values of critical parameters and uncovering fine-grained API semantics.